
InQery
AI-native database editor for modern data workflows
Hey everyone — we’ve been quietly building a product called InQery for awhile now and are finally starting to open it up publicly.
InQery is an AI-native database development and exploration workspace built around real operational data workflows rather than just generic code generation.
Our background is in database-heavy consulting work and software development — ETL pipelines, analytics systems, compliance reporting, migrations, operational reporting, etc.
We were early adopters of AI tooling and while modern AI-assisted IDEs rapidly transformed software development, database tooling seems to have been left behind.
We started building internal tooling for ourselves to help with schema exploration, executable query workflows, cross-database analysis, reusable workflows, visualization generation, and AI-assisted operational data work.
The internal versions ended up becoming deeply embedded into our own workflows, which was the point where we realized this probably needed to become a commercialized product instead of staying an internal tool.
A few things we focused heavily on:
executable query result workflows
schema-aware SQL generation
cross-database analysis
advanced data science analysis
data visualization and report building
reusable workbook-style workflows
operational data tooling instead of isolated prompts
The product is live now in an extended free access period while we continue to prepare our launch materials ahead of the broader release (May 15th).
We also really wanted to reduce onboarding friction so we included 2 pre-connected demo database for every new InQery account.
Would genuinely love feedback from developers, DBAs, analytics engineers, data teams, or honestly anyone who spends a large amount of time working operationally inside databases.
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We feel modern AI tooling transformed software development but database tooling still lacks the native AI workflows and collaboration experience data teams need.

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