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Available on: Data Cloud
This section details the tables and columns available in the Gong data cloud. See What's new in Gong Data Cloud for details of what's been added to the data cloud.
Note:
Some columns were configured as decimals instead of integers. From March 2026 - May 2026 we are implementing a process to change these column types to integers. As a result, you may see duplicate columns with a suffix of __NEXT. For more details, see Numeric field type updates in the Gong data cloud.
Note:
The Gong Data Cloud schema can change in any release, for example by adding new tables and columns. Design your integrations and queries to handle new fields to ensure your reports continue to work as the schema evolves.
Users
The USERS table contains data about each user in the system including licensing details. Use the manager_id field to build organizational hierarchy. We also maintain history in this table using SCD type 2.0, so you can see for example, previous job titles or permissions. When one of the values is changed, the VALID_TO_DATETIME is set to the current date and a new row is added with both the new and unchanged values. The VALID_FROM_DATETIME in the new row is set to the current date and the VALID_TO_DATETIME is set to NULL.
The USERS table includes the following:
Column | Type | Value on delete | Description |
|---|---|---|---|
ACTIVE | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | Sets whether the user is active. Users are not deleted from the system, they become inactive |
EMAIL_ADDRESS | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The user's email address |
FIRST_NAME | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The user's first name |
LAST_NAME | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The user's last name |
LICENSED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | Indicates whether the user has a paid license |
LOCALE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The user's locale |
MANAGER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The id of the employee's manager |
TIME_ZONE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The timezone the user is in (TZ format, such as America/New_York) |
USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID of the user in Gong (unique). |
SHOULD_IMPORT_TELEPHONY_CALLS | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | Indicates whether the user's calls recorded by an external telephony system should be automatically recorded and imported into Gong |
SHOULD_RECORD_WEB_CONFERENCE_CALLS | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | Indicates whether the user's web conference calls should be automatically recorded |
SHOULD_SYNC_EMAILS | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | Indicates whether the user's emails should be automatically imported to Gong |
TITLE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The employee's job title |
VALID_FROM_DATE_TIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | (SCD type 2.0) The date this record was created |
VALID_TO_DATE_TIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | (SCD type 2.0) The date this record was changed. A null value indicates this is the current record for the user. |
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates whether the user was deleted in Gong. Values are:
|
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was changed |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
User_crm_ids
In some cases, one email address can be associated with multiple CRM IDs. In order to ensure that each Gong user is associated with the correct CRM ID, we store all CRM IDs associated with the user, so that one Gong user can be associated with multiple CRM user IDs.
The USER_CRM_IDS table includes the following:
Column | Type | Value on delete | Description |
|---|---|---|---|
CRM_USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The Gong user's ID in the CRM |
USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID of the user in Gong (unique). |
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates whether the user’s CRM ID was deleted in Gong. Values are:
|
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the CRM data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
User_conversation_gong_activities
The USER_CONVERSATION_GONG_ACTIVITIES table stores details of which user performed which activity on a call. For each activity a user performs in the application, a new row is added with the user and call ids, the date of the activity and the type of the activity.
The USER_CONVERSATION_GONG_ACTIVITIES table includes the following:
Column | Type | Value to delete | Description |
|---|---|---|---|
CONVERSATION_KEY | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID of the conversation the user made the activity on (from the conversations table) |
GONG_ACTIVITY_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time of the activity |
GONG_ACTIVITY_TYPE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The activity type. Options are:
|
USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID of the user who had the activity (from the users table) |
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
Interaction_stats
The INTERACTION_STATS table contains statistics about how a rep manages their calls. Each row includes statistics for a single call, such as the rep's talk ratio, and interactivity. For a full explanation of how these metrics are calculated, see Analyze team performance.
The INTERACTION_STATS table includes the following:
Column | Type | Value on delete | Description |
|---|---|---|---|
CONVERSATION_KEY | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID of the call in the conversations table |
CALL_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The call ID |
CALL_OWNER | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Gong user ID of the person who owns the call |
INTERACTIVITY | Snowflake: float BigQuery: float64 Databricks: float, double Redshift: real, float4, float8, double precision S3: float | NULL | Indicates the number of times the conversation switched between the rep and the customer. The value is based on a calculation which normalizes the number of times the conversations switched size to a 60 minute conversation. |
LONGEST_CUSTOMER STORY | Snowflake: float BigQuery: float64 Databricks: float, double Redshift: real, float4, float8, double precision S3: float | NULL | The longest amount of time at any one time the customer spoke in the call |
LONGEST_MONOLOGUE | Snowflake: float BigQuery: float64 Databricks: float, double Redshift: real, float4, float8, double precision S3: float | NULL | The longest amount of time the user spoke at one time in the call in seconds |
PATIENCE | Snowflake: float BigQuery: float64 Databricks: float, double Redshift: real, float4, float8, double precision S3: float | NULL | The average amount of time the rep waited before speaking after the customer finished speaking, in seconds |
QUESTION_RATE | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | The average number of questions the rep asked in the call |
TALK_RATIO | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | The percentage of time the user spoke in the call |
USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID of the user who participated in the call (from the users table) |
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates that the stats were deleted in Gong. The stats are also deleted in Snowflake when a conversation is deleted. Values are:
|
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
Workspaces
The WORKSPACES table contains a list of the workspaces in your org and includes the following:
Column name | Type | Value on delete | Description |
|---|---|---|---|
NAME | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The name of the workspace |
WORKSPACE_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The workspace ID |
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was modified |
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates whether the workspace was deleted in Gong. Values are:
|
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
Gong_usage
The GONG_USAGE table contains information on how team members use Gong on a daily basis. Each row contains the number of times a unique action was done on a specified day. So for example, if a team member listens to 6 calls in one day, but listens to one call twice, the CALLS_LISTENED_TO column will be 5. If a team member listens to the same call on two different days, this results in two records in this table.
Metrics on how many unique calls a team member listened to in a specific time period is available by downloading the Feature utilization report,
The metrics include actions done both on the mobile app and in the browser.
The table includes the following fields:
Column name | Type | Value on delete | Description |
|---|---|---|---|
ACCOUNTS_ASKED_ANYTHING | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of accounts for which the person asked at least one question on the USAGE_DATE. Asking multiple questions about the same account counts as one account. |
ACCOUNTS_WITH_BRIEFS_VIEWS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of accounts for which the person viewed a brief on the USAGE_DATE. Viewing the same brief multiple times counts as one account. |
ADDED_PEOPLE_TO_FLOWS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the user added a person to a flow in Engage |
AI_EMAILS_GENERATED | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the person clicked Generate follow-up email on the USAGE_DATE. Includes all clicks, regardless of where the option appears. |
ASKED_ANYTHING_ABOUT_A_CALL | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of questions the user asked anything about a call |
ASKED_ANYTHING_ABOUT_A_DEAL_OR_ACCOUNT | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of questions the user asked anything about a deal or account |
CALL_SCORECARDS_GIVEN | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Only shows data if the user is a manager. Number of scorecards the user filled in. |
CALLED_WITH_GONG_DIALER | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of calls the user made with the Gong dialer |
CALLS_ASKED_ANYTHING | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of calls for which the person asked at least one question on the USAGE_DATE. Asking multiple questions about the same call counts as one call. |
CALLS_LISTENED_TO | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of calls the user listened to in Gong |
CALLS_WITH_BRIEFS_VIEWS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of calls for which the person viewed a brief on the USAGE_DATE. Viewing the same brief multiple times counts as one call. |
COMMENTED_ON_CALLS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of comments the user made on calls |
COMPLETED_TO_DOS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of Engage to-dos completed |
CONDUCTED_FOLLOW_UP_STEPS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of follow-up steps such as inline edits, the user did on a deal |
CONTACTS_ASKED_ANYTHING | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of contacts for which the person asked at least one question on the USAGE_DATE. Asking multiple questions about the same contact counts as one contact. |
CONTACTS_WITH_BRIEFS_VIEWS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of contacts for which the person viewed a brief on the USAGE_DATE. Viewing the same brief multiple times counts as one contact. |
DEALS_ASKED_ANYTHING | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of deals for which the person asked at least one question on the USAGE_DATE. Asking multiple questions about the same deal counts as one deal. |
DEAL_BOARD_WITH_PLAYBOOK_VIEWS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of deal boards that include a playbook the person viewed on the USAGE_DATE. Viewing the same deal board multiple times counts as one. |
DEALS_WITH_BRIEFS_VIEWS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of deals for which the person viewed a brief on the USAGE_DATE. Viewing the same brief multiple times counts as one deal. |
HAD_GONG_ACTIVITY | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | When true, it indicates that the user was active in Gong on that date, even if the action was not captured by existing metrics. |
INSPECTED_DEALS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of deals the user looked at in detail (opened the deal panel) |
INTERACTED_WITH_CALL_SPOTLIGHT (deprecated) | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Returns 0 |
MINUTES_LISTENED_TO_CALLS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of minutes the user listened to calls in Gong |
PLAYBOOK_FIELDS_AI_SUGGESTIONS_USED | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the person validated an AI suggestion in a Playbook field on a deal board on the USAGE_DATE. |
PLAYBOOK_FIELDS_MANUAL_UPDATES | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of Playbook fields the person manually updated on the USAGE_DATE. Multiple updates to the same field count as one. |
RECORDED_CALLS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of calls recorded in Gong for this user |
REVIEWED_CALLS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of calls the user reviewed |
REVIEWED_DEAL_ANALYTICS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the user viewed one of the deal analytics reports (win/loss, deal drivers) |
REVIEWED_FORECAST | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the user did an action in the Forecast page, not including loading the page |
REVIEWED_PIPELINE | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the user clicked on anything in the deal page |
SENT_EMAILS_VIA_GONG | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of emails the user sent via the Gong email composer |
SHARED_CALLS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of calls the user shared either internally or externally |
SUBMITTED_FORECASTS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the user submitted or updated a forecast |
USED_FORECAST_ANALYTICS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the user performed an action in the Forecast analytics page, not including loading the page |
USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The user’s Gong ID |
USER_NAME | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The user’s full name |
USAGE_DATE | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date the usage data is for |
VIEWED_ANALYTIC_REPORTS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the user viewed a report in Insights |
VIEWED_CALL_SPOTLIGHT (deprecated) | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Returns 0 |
VIEWED_INITIATIVE_BOARDS | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: FIXED_LEN_BYTE_ARRAY, Decimal | NULL | Number of times the user viewed an initiative board |
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates whether the record was deleted in Gong. Values are:
|
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table |
Comments
The COMMENTS table contains a row for each public comment made on a call. The COMMENTS table includes the following:
Column name | Type | Value on delete | Description |
|---|---|---|---|
COMMENT_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The Id of the comment |
COMMENT | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The comment |
COMMENT_TYPE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | The type of comment | |
CONVERSATION_KEY | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The unique identifier for the call the comment is associated with. (Unique) |
CREATED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date and time the comment was made |
MENTIONS | Snowflake: variant BigQuery: json Databricks: string Redshift: varchar(MAX) S3: UTF8 | NULL | A list of users tagged in the comment. Ids are separated with a comma |
REPLY_TO_COMMENT_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | ID of the original comment this comment is replying to. |
TAGS | Snowflake: variant BigQuery: json Databricks: string Redshift: varchar(MAX) S3: UTF8 | NULL | A list of tags set for the comment. Tags are phases prefixed with a #. Each tag in the list is separated with a comma |
TIME_IN_CALL_SEC | Snowflake: float BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: Float | NULL | The time in the call the comment was made, in seconds. |
USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Gong user ID for the person who made the comment. |
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates whether the comment was deleted in Gong. Values are:
|
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
Forecast_submissions
The FORECAST_SUBMISSIONS table contains the most current team and individual forecasts submissions. To see previous submissions use the FORECAST_SUBMISSIONS_HISTORY table.
The table contains the following fields:
Column name | Type | Value on delete | Description |
|---|---|---|---|
FORECAST_AMOUNT_UNIT | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The unit the forecast was made in |
FORECAST_CATEGORY_NAME | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The forecast category according to the values defined in the forecast board |
IS_TEAM | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | When true, the forecast is a team forecast |
LINE_OF_BUSINESS | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The name of the line of business the forecast is for |
LINE_OF_BUSINESS_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The Gong ID for the line of business |
NOTES | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | Notes the Gong user made on the forecast submission |
PERIOD_NUMBER | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The number representing the period the forecast is for. For example, if the forecast is for Q3, this value is 3. If the forecast is for August, this value is 8. |
PERIOD_TYPE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The period the forecast covers. Options are:
|
PERIOD_YEAR | Snowflake: integer BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric | NULL | The fiscal year the forecast covers |
SUBMIT_DATE | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date the forecast was submitted |
SUBMIT_BY_USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Gong user id of the user who submitted the forecast |
SUBMISSION_TYPE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The type of forecast submission. Options are:
|
USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The user Id of the Gong user the forecast is for. If a manager submits a forecast for their team member, the USER_ID is the user Id of the team member. If the forecast is a team forecast, this is the team manager's user Id. |
VALUE | Snowflake: float BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: Float | NULL | The forecast value |
WEEK | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: INT_64 | NULL | The week during the quarter that the forecast was submitted |
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates whether the forecast was deleted in Gong. Values are:
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ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
Forecast_submissions_history
The FORECAST_SUBMISSIONS_HISTORY table contains current and previous team and individual forecasts submissions. Use the SUBMIT_DATE to determine which is the most recent submission.
Note:
This table shows manual user submissions. As forecasts in Gong may also include automated submissions, you may see forecast submissions in Gong which are not exported to Snowflake.
The table contains the following fields:
Column name | Type | Value on delete | Description |
|---|---|---|---|
FORECAST_AMOUNT_UNIT | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The unit the forecast was made in |
FORECAST_CATEGORY_NAME | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The forecast category according to the values defined in the forecast board |
IS_TEAM | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | When true, the forecast is a team forecast |
LINE_OF_BUSINESS | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The name of the line of business the forecast is for |
LINE_OF_BUSINESS_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The Gong ID for the line of business |
NOTES | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | Notes the Gong user made on the forecast submission |
PERIOD_NUMBER | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The number representing the period the forecast is for. For example, if the forecast is for Q3, this value is 3. If the forecast is for August, this value is 8. |
PERIOD_TYPE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The period the forecast covers. Options are:
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PERIOD_YEAR | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: decimal | NULL | The fiscal year the forecast covers |
SUBMIT_DATE | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date the forecast was submitted |
SUBMIT_BY_USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Gong user id of the user who submitted the forecast |
USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The user Id of the Gong user the forecast is for. If a manager submits a forecast for their team member, the USER_ID is the user Id of the team member. If the forecast is a team forecast, this is the team manager's user Id. |
VALUE | Snowflake: float BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: Float | NULL | The forecast value |
WEEK | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: Decimal | NULL | The week during the quarter that the forecast was submitted |
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates whether the forecast was deleted in Gong. Values are:
|
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
Forecast_targets
The FORECAST_TARGETS table contains targets set for each team or for specific users. The table contains the following fields:
Column name | Type | Value on delete | Description |
|---|---|---|---|
IS_TEAM | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | When true, the target is a team target |
LINE_OF_BUSINESS | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The name of the line of business the forecast is for |
LINE_OF_BUSINESS_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The Gong ID for the line of business |
PERIOD_NUMBER | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: Decimal | NULL | The number representing the period the forecast is for. For example, if the forecast is for Q3, this value is 3. If the forecast is for August, this value is 8. |
PERIOD_TYPE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The period the forecast covers. Options are:
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PERIOD_YEAR | Snowflake: integer BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric | NULL | The fiscal year the forecast covers |
SUBMIT_DATE | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date the forecast was submitted |
SUBMIT_BY_USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Gong user id of the user who submitted the forecast |
TARGET_AMOUNT_UNIT | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The currency code the forecast is submitted in |
USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The user Id of the Gong user the forecast is for. If a manager submits a forecast for their team member, the USER_ID is the user Id of the team member. If the forecast is a team forecast, this is the team manager's user Id. |
VALUE | Snowflake: float BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: Float | NULL | The forecast value |
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates whether the forecast target was deleted in Gong. Values are:
|
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
Deal_likelihood_scores
The DEAL_LIKELIHOOD_SCORES table shows a ranking Gong gives to each deal. This is a score that indicates the relative deal health according to the company's historical closed-won and closed-lost deal scores. It is calculated daily, and the new score added to the table, providing history of how the deal likelihood changed.
As the table is a standalone table, to get the details of the deal, retreive the deal details from the CRM according to the CRM_DEAL_ID. The table contains the following fields:
Column name | Type | Description |
|---|---|---|
CRM_DEAL_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | The Id of the deal in the CRM that the deal likelihood score is for. Use this field to get the deal details from the CRM. |
LAST_UPDATED | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | The date the score was last calculated |
SCORE | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: decimal | The numerical score for the deal likelihood |
SCORE_CATEGORY | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | The category for the deal likelihood score. Values are: 1-29: Low 30-75: Fair 76-99: High |
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | The date and time the data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | The ID to identify the row in the table |
Scorecard_questions
The SCORECARD_QUESTIONS table contains a row for each question in a scorecard. The row includes the scorecard data such as the scorecard name and the date it was created. The answers for the questions are stored in the SCORECARD_ANSWERS table. The table contains the following fields:
Column name | Type | Value on delete | Description |
|---|---|---|---|
IS_DELETED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates whether the scorecard or the question were deleted |
QUESTION_CREATED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date and time the question was defined |
QUESTION_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The Id of a question included in the scorecard |
QUESTION_IS_OVERALL_SCORE | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | Indicates whether the question enables providing an overall assessment of the call |
QUESTION_MAX_RANGE | Snowflake: integer BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric | NULL | For questions with a numerical score, the maximum number that can be chosen |
QUESTION_MIN_RANGE | Snowflake: integer BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric | NULL | For questions with a numerical score, the minimum number that can be chosen |
QUESTION_MODIFIED_BY_USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Id of the user who modified the question |
QUESTION_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date and time the question was last modified |
QUESTION_RESPONSE_OPTIONS | Snowflake: variant BigQuery: json Databricks: string Redshift: varchar(MAX) S3: UTF8 | NULL | The possible options in a multiple choice question |
QUESTION_TEXT | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The text of the question |
QUESTION_TYPE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The type of question. Options are:
|
SCORECARD_CREATED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date and time the scorecard was created |
SCORECARD_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The scorecard Id |
SCORECARD_IS_ENABLED | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | Indicates whether the scorecard is enabled or not |
SCORECARD_MODIFIED_BY_USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Id of the Gong user who last modified the scorecard |
SCORECARD_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date and time the scorecard was last modified |
SCORECARD_NAME | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The scorecard title |
WORKSPACE_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Id of the workspace the scorecard is associated with |
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was modified |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
Scorecard_answers
The SCORECARD_ANSWERS table contains a row for each answer given in the scorecard. The row includes scorecard details, the question details and the answer given. The table contains the following fields:
Column name | Type | Value on delete | Description |
|---|---|---|---|
ACCESSIBLE_TO | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The users who have permissions to view the scorecard. Options are:
|
ANSWER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID for the answer |
ANSWER_CREATED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date and time the answer was created |
ANSWER_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | The date and time the answer was last modified | |
ANSWER_NOT_APPLICABLE | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | Unchanged | Indicates if the answer is not applicable |
ANSWER_SELECTED_OPTIONS | Snowflake: variant BigQuery: json Databricks: string Redshift: varchar(MAX) S3: UTF8 | NULL | The options selected in a multiple choice question |
ANSWER_SCORE | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: decimal | NULL | The score given to the question |
ANSWER_TEXT | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The text of the answer |
CONVERSATION_KEY | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The key for the conversation the scorecard is being filled in for |
GAVE_SCORECARD_USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Id of the user who filled in the scorecard |
LAST_PUBLISHED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | NULL | The date and time the answer was last published |
QUESTION_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Id of the question |
QUESTION_IS_OVERALL_SCORE | Snowflake: boolean BigQuery: bool Databricks: boolean Redshift: boolean S3: Boolean | NULL | Indicates whether the question enables providing an overall assessment of the call |
QUESTION_MAX_RANGE | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: decimal | NULL | For questions with a numerical score, the maximum number that can be chosen |
QUESTION_MIN_RANGE | Snowflake: number BigQuery: decimal, numeric Databricks: decimal, dec, numeric Redshift: decimal, numeric S3: decimal | NULL | For questions with a numerical score, the minimum number that can be chosen |
QUESTION_RESPONSE_OPTIONS | Snowflake: variant BigQuery: json Databricks: string Redshift: varchar(MAX) S3: UTF8 | NULL | The possible options in a multiple choice question |
QUESTION_TEXT | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The text of the question |
QUESTION_TYPE | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The type of question. Options are:
|
RECEIVED_SCORECARD_USER_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Id of the user who the scorecard was for |
SCORECARD_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The scorecard Id. FK from the SCORECARD_QUESTIONS table. |
SCORECARD_NAME | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The name of the scorecard |
WORKSPACE_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | NULL | The Id of the workspace the scorecard is associated with |
ETL_MODIFIED_DATETIME | Snowflake: timestamp_tz BigQuery: timestamp Databricks: timestamp Redshift: timestamp, timestamptz S3: INT64, TIMETAMP_MICROS | Unchanged | The date and time the data was changed |
ROW_ID | Snowflake: varchar BigQuery: string Databricks: string Redshift: varchar(MAX) S3: Byte_array, UTF8 | Unchanged | The ID to identify the row in the table. |
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