Trilogy Studio vs Data Studio

FKA Looker Studio FKA Data Studio

We're long-time fans of Google's Data Studio.

There was no faster way to get a quick visualization stood up and shared when you worked on the google stap.

We aspire Trilogy Studio to get to that same level of velocity, while shaving off some of the rough edges - just like we wanted to do with Trilogy vs SQL.

Some Comparison Notes

Trilogy studio is focused purely on SQL and provides generic acceleration through aggregate resolution, but is not tightly integrated with Google's ecosystem in the way data studio is. (BI Engine, we miss you!)

Trilogy studio has a public hosted option, but can also be served internally or run locally.

We think that the easy of modeling - write query directly - plus native cross-filtering provides a compelling 'time to value' vs datastudio, which is fast - but still a lot of clicks - and has limited flexibility for complex queries.

Feature Matrix

Feature	Trilogy Studio ✅	Looker Studio ✅
Connect to BigQuery	✅	✅
Connect to Snowflake	✅
Connect to DuckDB	✅
Connect to CSV/Parquet via DuckDB	✅
Connect to other Google backend products		✅
Rich Visualizations	✅	✅
Automatic Cross-filtering	✅
Community-contributed Charts		✅
Natural Language Filtering	✅
AI-Assisted Dashboard Generation	✅	✅

Why Trilogy Studio?

Trilogy Studio is a developer-friendly, open-source dashboard IDE with native support for Trilogy queries, SQL, and AI tooling. It’s built for fast iteration, shareable semantics, and direct database access—ideal for data teams who want power and clarity.

Try it here and explore the source code on GitHub.