Activate your dbt Models with
Self-Service Analytics
Streamline the workflow from data
transformation to business insights
Stop modeling your data with stored procedures and creating a web of inconsistency. Ship trusted data faster with dbt’s in-database transformation capabilities, then connect to your model with ThoughtSpot for instant self-service business insights.
Model data in-database with SQL or Python
Develop, test and document, and deploy trusted datasets for reporting, analytics, and operational workflows directly within your cloud data warehouse.
Connect to your models with a few clicks
Enter your dbt Cloud credentials or upload a .zip file from dbt Core and ThoughtSpot immediately turns your dbt models into searchable worksheets.
Search your data for instant business insights
Start asking questions of your data and uncover meaningful insights in seconds. Or direct-query and visualize metrics via the dbt Semantic Layer.
Run live queries where your data resides
ThoughtSpot live queries data in your cloud platform or directly to the dbt Semantic layer. So whether you are using Snowflake, Databricks, or defining metrics directly in dbt’s Semantic Layer, your data stays where it resides - no data movement involved.
With ThoughtSpot and dbt, we can quickly model and ship trusted data to generate business insights, saving us hours of productivity a week!
Jay Kotecha
Senior Data Scientist at Huel
Our modern data stack with dbt, Snowflake, and ThoughtSpot helps us provide all colleagues with aligned, accessible analytics.
Henry Pearce
Head of Data at Totally Money
We’ve recently adopted dbt as our core in-database modeling layer and ThoughtSpot’s direct integration with both Snowflake and dbt is a perfect fit.
Tran Zha
Software Engineer at Loan Market Group
See for yourself
Check out ThoughtSpot and dbt’s integration to see how you can use
the power of search and AI to run live queries on your dbt data models
and metrics directly in Snowflake,
Databricks, or dbt’s Semantic Layer.
Resources
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