Run analytics across any data source. No pipeline-wiring required.
Connect your databases, warehouses, and APIs into one query layer. Ship insights in hours, not sprints.
Data engineering was never meant to take two sprints per question
Most teams spend more time wiring connectors and fixing broken pipelines than actually running analysis. Every new data source means another ETL project.
Nava Labs flips the model: connect a source once, query it forever alongside everything else you already have.
How the Platform WorksThree layers. One query surface.
Connect
Pre-built connectors for PostgreSQL, Snowflake, BigQuery, Redshift, S3, and more. New sources go live in under an hour with credential-only setup.
View connectorsQuery
Write standard SQL that spans every connected source. The engine handles federation, pushdown, and optimization automatically. No new dialect to learn.
See the query engineObserve
Automatic schema drift detection, row-count alerts, and latency tracking across every connected source. Know before your dashboard does.
Observability overviewWorks with the tools you already run
Pre-built connectors for the sources your team already has. One more just means adding credentials.
Teams running Nava Labs in closed beta
"We connected our Redshift warehouse and three PostgreSQL databases in the same afternoon. Running joined queries across all four sources before end of day."
"The schema drift alerts caught a column type change in our upstream Kafka topic before it propagated to the dashboard. Saved us a nasty Friday incident."