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Qry

For data teams

Fewer requests in the queue, more time to build

Qry takes the stream of “can you pull me…” off your queue — answered under your grants, with the SQL on show — and gives you notebooks, pipelines and migration tooling in the same place.

Govern

Answers you can audit

Every answer carries the SQL it ran and the tables it read. Grants and row filters apply to every query, and the model never chooses whose permissions it uses. Skills hold your definitions, and Skill Health tells you when one stops matching the data.

  • Grants from datasource to table, by user and group
  • Attribute-based row filters
  • Single sign-on with directory groups
Answers you can audit

Explore

Notebooks on your own compute

SQL, Python and PySpark cells — the Spark ones on your own cluster through Livy. Secrets out of the code, Git with cell-level merge, scheduled runs in isolated runtimes.

  • AI help that writes cells and fixes the ones that fail
  • Variables like {{yesterday}} in scheduled runs
Notebooks on your own compute

Build

Pipelines that run in your engine

Lakeflow jobs chain SQL, Python, prompts and conditions. Inside one warehouse, SQL tasks run in the engine itself: bronze to gold over 37.5 million rows in 25 seconds on a Databricks 2X-Small warehouse, with lineage.

  • Graph and YAML, kept as written
  • Quality gates that stop what depends on them
  • Stuck runs closed, stale tables flagged
Pipelines that run in your engine

Migrate

Move off the legacy platform — and prove it

Forge migrates Oracle, Teradata, SQL Server and SAS — tables and code — to BigQuery, Cloudera, PostgreSQL, AlloyDB or Oracle, and proves each object by running both sides.

  • Assessment report before you start
  • Procedure, view and function parity checks
  • Export as a dbt project
Move off the legacy platform — and prove it

  • Integrate

    From your own tooling

    A chat API that answers as the token's owner, data products over HTTP with Nexus, MCP servers, Git folders for notebooks, pipelines and skills, and an operator CLI that checks an installation before and after every upgrade.

See it on your own data

We'll set up Qry against a dataset you choose and walk you through it — one hour, no slides.

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