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mnemiq

Free#6 of 19 in AI SQL Generators

mnemiq: A self-hosted SQL generator with policy controls, validation, traces, and evaluation tools. Ranked #6 of 19 in AI SQL Generators by our editors (8.8/10); pricing: Open source; best for teams prioritizing SQL safety and evaluation.

8.8/10Editor score
mnemiq8.8 Visit mnemiq

At a glance

  • Editor score
    8.8 / 10
  • Pricing
    Open source
  • Best for
    Teams prioritizing SQL safety and evaluation
  • Paid from
    Free
  • Facts checked
    20 Sep 2026
mnemiq screenshot
  • Where it wins

    • Read-only enforcement with row- and column-level access policies
    • Dialect, EXPLAIN, and query-plan checks before execution
    • Evaluation harness, refusal reasons, and SQL execution traces
  • Where it doesn't

    • Self-hosted deployment requires your team to run the engine
    • Model endpoint configuration is part of the deployment setup
    • Focused on governed SQL generation rather than a broad analytics suite

Our verdict on mnemiq

mnemiq is an open-source text-to-SQL engine for enterprise data agents. It turns natural-language questions into SQL with a language model, enriches and retrieves schema context, and runs in the user's environment. Teams building data agents that need controlled database access can use it through web, API, or self-hosted deployment, with support for OpenAI-compatible model endpoints.

Governance is the product's defining strength. Before execution, mnemiq can enforce read-only queries, apply row- and column-level access policies, and validate SQL dialects, EXPLAIN output, and query plans. When a request is unsupported, it can refuse with stated reasons instead of returning an unchecked query. Execution traces show which tables were accessed, giving teams a direct record of query scope. These controls suit environments where generated SQL must be constrained and explainable.

The engine connects with PostgreSQL, SQLite, DuckDB, Oracle, Snowflake, and Databricks. Its evaluation harness lets teams assess performance against custom databases and benchmarks, while the MCP server exposes read-only database tools for compatible agent workflows. Setup centers on self-hosting, schema enrichment, model-endpoint configuration, and database connectivity, so it fits teams prepared to operate their own environment. Choose mnemiq when policy enforcement, validation, and evaluation matter more than a managed analytics workspace; consider a broader platform if you need turnkey hosting or capabilities beyond governed text-to-SQL.

Your product? Our editors can test mnemiq in depth and publish a review, labelled as paid · from $149/mo →

mnemiq pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on agenticfabriq.com

mnemiq fact sheet

Free planNot verified
Paid fromFree
Query explanationsNot verified
Query optimizationNot verified
Database connectionsNot verified
DeploymentSelf_hosted
SQL dialectsNot verified
Schema contextYes
DeploymentSelf-hosted
PlatformsWeb
Built forEnterprise (editorial estimate)
Integrations6 integrations: PostgreSQL, SQLite, DuckDB, Oracle, Snowflake, Databricks
PricingOpen source
Websiteagenticfabriq.com
Facts checked20 Sep 2026

mnemiq integrations

mnemiq lists 6 integrations on its own site.

  • PostgreSQL
  • SQLite
  • DuckDB
  • Oracle
  • Snowflake
  • Databricks

Alternatives to mnemiq

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mnemiq vs the competition

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Featured on iTechGuides

Featured on iTechGuides — mnemiq 8.8/10

mnemiq is listed in our AI SQL Generators directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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