DatriseAI-first ETL

Microsoft SQL Server to ThoughtSpot Integration

AI-first ETL from Microsoft SQL Server into ThoughtSpot. Governed entities, incremental sync, typed landing tables.

How Datrise loads Microsoft SQL Server into ThoughtSpot

Datrise syncs Microsoft SQL Server's tables, rows, schemas, indexes, primary keys, and change tracking into ThoughtSpot as warehouse tables ThoughtSpot indexes for search. Flexible or custom fields land in flattened columns for searchable fields, and timestamps such as created, updated, and status changes are typed as date/time columns.

Sync is incremental: Datrise uses incremental refresh of the indexed tables, so re-runs update only what changed. Date-partitioned facts for live-query performance. ThoughtSpot search relies on clear names and relationships, so Datrise lands well-named, joinable tables.

Ideal for natural-language search analytics over a warehouse.

Endpoints

Microsoft SQL Server: Microsoft SQL Server transactional databases.

ThoughtSpot: Search-driven analytics with AI-assisted insights on warehouse data.

How Microsoft SQL Server entities map to ThoughtSpot

Microsoft SQL Server entityThoughtSpot objectNotes
tablesmssql_sql_server_tablesid PK · custom fields → flattened columns for searchable fields
rowsmssql_sql_server_rowsid PK · linked to mssql_sql_server_tables
schemasmssql_sql_server_schemasid PK · linked to mssql_sql_server_tables
indexesmssql_sql_server_indexesid PK · linked to mssql_sql_server_tables

FAQ

How does Datrise handle Microsoft SQL Server's custom fields in ThoughtSpot?

Flexible values are stored as flattened columns for searchable fields, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native ThoughtSpot types.

How does the Microsoft SQL Server to ThoughtSpot sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the indexed tables.

Related pipelines

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