mnemiq
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.
At a glance
- Editor score8.8 / 10
- PricingOpen source
- Best forTeams prioritizing SQL safety and evaluation
- Paid fromFree
- Facts checked20 Sep 2026

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.
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mnemiq pricing
mnemiq fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Free |
| Query explanations | Not verified |
| Query optimization | Not verified |
| Database connections | Not verified |
| Deployment | Self_hosted |
| SQL dialects | Not verified |
| Schema context | Yes |
| Deployment | Self-hosted |
| Platforms | Web |
| Built for | Enterprise (editorial estimate) |
| Integrations | 6 integrations: PostgreSQL, SQLite, DuckDB, Oracle, Snowflake, Databricks |
| Pricing | Open source |
| Website | agenticfabriq.com |
| Facts checked | 20 Sep 2026 |
mnemiq integrations
mnemiq lists 6 integrations on its own site.
- PostgreSQL
- SQLite
- DuckDB
- Oracle
- Snowflake
- Databricks
Alternatives to mnemiq
- NatureQueryBroad AI SQL coverage with a useful free tier and a $20 Pro plan.9.4
- Outerbase AIA broad, collaboration-focused SQL assistant with a capable free plan.9.2
- Wren AIWren AI combines semantic context, SQL generation, governance, and self-hosted deployment options.9.1
mnemiq vs the competition
- mnemiq vs NatureQuery
- mnemiq vs Outerbase AI
- mnemiq vs Wren AI
- mnemiq vs Vanna AI
- mnemiq vs Natural Language SQL
- mnemiq vs Savvina AI
Compare mnemiq with any tool side by side →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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