In Fabi.ai
You're a data team exploring a warehouse in collaborative Python + SQL notebooks.
Comparison
nlqdb vs Fabi.ai
Pick Fabi.ai if you're a data team that wants AI-assisted Python + SQL notebooks and scheduled dashboards over a warehouse you already run. Pick nlqdb if you're building a product or agent that needs English-to-SQL over a database it provisions — embeddable, API-first, every write diff-previewed.
The same goal, two ways.
> monthly revenue by plan tier for the last 12 months
In your HTML
<nlq-data goal="monthly revenue by plan tier for the last 12 months"></nlq-data>A grouped, time-bucketed query nlqdb answers as SQL over the database your app owns — the live data layer your product queries, not a notebook an analyst schedules.
What's different
Four dimensions that decide it
| Dimension | nlqdb | Fabi.ai | Note |
|---|---|---|---|
| Owns the database (provisions + migrates) | Fabi.ai connects to your existing warehouse or Postgres; it doesn't provision or own a database your app writes to. | ||
| Natural-language data questions | Fabi.ai's AI Analyst Agent writes and debugs SQL/Python in the notebook; nlqdb compiles SQL from English against a Postgres it owns and returns typed rows. | ||
| Embeddable answer element + SDK + API | Fabi.ai publishes dashboards and shares Smartbooks; nlqdb ships `<nlq-data>`, an SDK, and an HTTP API to query a database your product owns. | ||
| MCP server (agent-callable) | Fabi.ai's Analyst Agent MCP server exposes its notebook agent to external LLMs; nlqdb's `nlqdb_query` materialises a tenant Postgres on first reference. |
Show 5 more rows
| Dimension | nlqdb | Fabi.ai | Note |
|---|---|---|---|
| Charts, dashboards + scheduled workflows | Fabi.ai builds dashboards and schedules workflows with Slack/email delivery; nlqdb returns typed result rows you render in your own UI. | ||
| Python notebook cells + DuckDB compute | Fabi.ai's Smartbooks mix Python and SQL with an embedded DuckDB engine; nlqdb's output contract is SQL plus rows, not a notebook runtime. | ||
| App connectors (Stripe, HubSpot, Salesforce…) | Fabi.ai pulls from Stripe/HubSpot/Salesforce/GA for analysis; nlqdb is the Postgres your app writes to, not a connector hub. | ||
| Auto-migration via NL ('add a column for tags') | |||
| Destructive-op diff preview before apply | Fabi.ai reads and analyses; it doesn't manage your schema. nlqdb previews writes and DDL before applying. |
shipped · partial · not shipped
When to choose nlqdb
- You're embedding data answers in your product or agent, not authoring notebooks.
- An AI agent must provision and query its own database, callable over MCP.
- You ship one HTML element or an API, not a notebook analysts drive.
- Writes and schema changes should be diff-previewed before they apply.
When to choose Fabi.ai
- You're a data team exploring a warehouse in collaborative Python + SQL notebooks.
- You want an AI analyst agent that suggests, writes, and debugs your queries.
- You connect Snowflake, BigQuery, Redshift or Postgres, not provision a new database.
- You want scheduled dashboards and Slack/email delivery of recurring analyses.
Questions buyers ask
- Can I use Fabi.ai and nlqdb together?
- Yes — they serve different stages. Fabi.ai is where a data team explores a warehouse and publishes dashboards; nlqdb is the database your product or agent queries in plain English at runtime. Use Fabi.ai for analysis and reporting, nlqdb for the data layer your app ships on.
- Does nlqdb have Python notebooks like Fabi.ai's Smartbooks?
- No. nlqdb returns typed result rows from SQL it compiles; it doesn't ship Python/SQL notebooks, DuckDB cells, or dashboards. If a collaborative notebook with an AI analyst is the goal, Fabi.ai is the right shape; nlqdb's contract is the data, which you render in your own UI.
- Fabi.ai connects to my warehouse — why provision a new database with nlqdb?
- Fabi.ai reads your existing Snowflake/BigQuery/Redshift/Postgres for analysis. nlqdb owns the database your app writes to: it provisions Postgres, migrates the schema via English, and diff-previews destructive writes. Connecting-to-read and owning-the-write-path are different jobs.
- Does Fabi.ai have an MCP server like nlqdb?
- Yes, but a different shape. Fabi.ai ships an Analyst Agent MCP server that exposes its notebook agent to external LLM interfaces. nlqdb's MCP is database-shaped: `nlqdb_query` materialises a Postgres on first reference, so an agent provisions and queries its own database rather than driving an analyst's notebook.
- Is Fabi.ai's AI Analyst Agent the same as nlqdb's natural-language querying?
- Both compile English to queries, but for different users. Fabi.ai's Analyst Agent helps a data team write and debug SQL/Python inside a notebook. nlqdb compiles English into SQL against a Postgres it provisions and owns, returns typed rows, and diff-previews any write — built to be embedded in a product or called by an agent.
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