In MindsDB
You need one endpoint federating many existing sources (Postgres, Snowflake, Slack, files).
Comparison
nlqdb vs MindsDB
Pick MindsDB if you need one endpoint to query across many existing data sources — and to train ML models in SQL — self-hosted and open source. Pick nlqdb if you want a Postgres provisioned from plain English, queried in English with the compiled SQL shown, no sources to connect first.
The same goal, two ways.
> top 5 products by total revenue this quarter
In your HTML
<nlq-data goal="top 5 products by total revenue this quarter"></nlq-data>A federated engine assumes you've connected and modelled the sources first; nlqdb answers the same aggregate from one English goal over a Postgres it provisioned.
What's different
Four dimensions that decide it
| Dimension | nlqdb | MindsDB | Note |
|---|---|---|---|
| Provisions + owns the database (from English) | MindsDB federates databases you already run; it doesn't provision a fresh Postgres your app writes to. nlqdb materialises one from the first English goal. | ||
| Federates many existing data sources (200+) | MindsDB's whole shape is one endpoint over 200+ sources; nlqdb owns one Postgres, or connects a single Postgres you run (BYO connect) — no 200-source federation. | ||
| Natural-language → SQL with compiled SQL shown | MindsDB is primarily its own SQL dialect; NL arrives via its agents. nlqdb compiles English to SQL and returns the SQL with every answer so you can audit the grain. | ||
| MCP server (agent-callable) | MindsDB's MCP federates your connected sources to an agent; nlqdb's `nlqdb_query` materialises a tenant Postgres on first reference (no separate create verb). |
Show 6 more rows
| Dimension | nlqdb | MindsDB | Note |
|---|---|---|---|
| Destructive-op diff preview before apply | MindsDB queries and federates; it doesn't gate writes to your sources with a preview. nlqdb diff-previews writes and DDL before applying. | ||
| Auto-migration via NL ('add a column for tags') | |||
| HTML embed element + anonymous try | nlqdb ships `<nlq-data>` and anonymous mode (first answer before sign-in); MindsDB is an engine you deploy or sign up for, not an embeddable element. | ||
| In-database ML model training + predictions | MindsDB's `CREATE MODEL` trains and serves ML/forecasts in SQL (its original 'AI Tables'); nlqdb is NL→SQL over relational data, with no model training. | ||
| Knowledge bases / RAG over unstructured data | MindsDB indexes and retrieves unstructured data (docs, Slack, Gmail) as knowledge bases; nlqdb is Postgres-first and ships no unstructured-retrieval layer. | ||
| Self-host / open source | MindsDB is open source and self-hostable; nlqdb's platform is hosted-only during pre-beta (SDKs/CLI/elements open at GA). |
shipped · partial · not shipped
When to choose nlqdb
- You want a Postgres provisioned from plain English — no data sources to connect first.
- You want every answer to show the compiled SQL so you can audit the grain.
- You want destructive writes and migrations diff-previewed before they apply.
- You want to embed an answer in HTML, or try it before signing up.
When to choose MindsDB
- You need one endpoint federating many existing sources (Postgres, Snowflake, Slack, files).
- You want a self-hosted, open-source query engine you run and extend yourself.
- You need to train and serve ML models in SQL (CREATE MODEL, predictions).
- You want knowledge bases / RAG retrieval over unstructured enterprise data.
Questions buyers ask
- Is nlqdb a replacement for MindsDB?
- No — they're different shapes. MindsDB federates 200+ existing data sources behind one endpoint and adds in-database ML and knowledge bases on top of data you already have. nlqdb provisions and owns a single Postgres, compiles English to SQL with the SQL shown, and diff-previews writes. One connects-and-augments; the other provisions-and-owns.
- Can MindsDB and nlqdb work together?
- Yes. MindsDB is the federated layer when you already have many sources to query under one roof; nlqdb is the provisioned analytical store an agent or app writes to and aggregates in English. An agent could read across sources via MindsDB and keep its own structured working data in nlqdb.
- Does nlqdb connect to my existing databases like MindsDB's 200+ integrations?
- Not as a federation. nlqdb provisions its own Postgres, or you connect a single Postgres you already run with the signed-in BYO connect verb. There's no 200-source federation layer — if querying across Snowflake, Slack, Gmail and files behind one endpoint is the job, MindsDB is the right shape.
- Does nlqdb train ML models in SQL the way MindsDB does?
- No. MindsDB's `CREATE MODEL` trains and serves ML models and forecasts inside the query layer. nlqdb compiles natural language into SQL over your relational data and returns rows plus the SQL — it does no model training or prediction.
- Both expose an MCP server — what's the difference?
- MindsDB's MCP server exposes its federated view of the sources you connected, so an agent can read and write across them. nlqdb's `nlqdb_query` materialises a tenant-scoped Postgres on first reference and returns the compiled SQL — the agent provisions and queries its own database rather than reaching into pre-connected sources.
Try nlqdb in 30 seconds
No sign-in. The anonymous database lasts 72 hours; adopt it with one click if you keep it.
Start with a goal →