What data formats does Vectro support?
Vectro can load data from CSV, JSON, Arrow, plain arrays, or files larger than available memory.
Developer libraries
Vectro
Multi-core SQL and dataframes for JavaScript
- Community votes0
- DR by Ahrefs0 no change since last check
Ahrefs Domain Rating set in type 3 Nov 2026, reset 2 Nov 2026.
An analytics engine you import into your JavaScript app to load millions of rows, then filter, group, join and run SQL queries using every core of the machine.
The story so far
Vectro is a multi-core analytics engine for JavaScript that runs SQL queries and dataframe operations directly where your data is, in Node servers, web browsers, or edge runtimes like Cloudflare Workers, without requiring a separate database or server.
The engine loads data from CSV, JSON, Arrow, plain arrays, or files larger than available memory. You can query this data using SQL or JavaScript methods like filter, groupBy, and join. It is written in pure JavaScript and WebAssembly and works across different platforms with no native dependencies.
According to benchmarks on 10 million rows, Vectro matches the performance of DuckDB, a leading embedded analytics database, while using significantly less memory. The engine uses block-level min/max values to skip unnecessary data blocks during queries.
Typeset features
- SQL queries on datasets
- Support for multiple data formats (CSV, JSON, Arrow, arrays)
- JavaScript API with filter, groupBy, join methods
- Runs on Node, browser, and edge runtimes
- Query datasets larger than available memory
- Serve tables over PostgreSQL protocol
- Live streaming windows and nearest-neighbor search
- MCP server for AI assistants integration
- Multi-core processing
- No dependencies or native installation required
Pricing
Pricing model: Open source
Free and open source under the MIT License.
Vectro metrics
| Metric | Value |
|---|---|
| Domain Rating | 0 no change since last check |
| Trust Flow | 0 no change since last check |
| Citation Flow | 0 no change since last check |
| Referring domains | 0 no change since last check |
| External backlinks | 0 no change since last check |
Ahrefs Domain Rating set in type 3 Nov 2026, reset 2 Nov 2026. Majestic set 2 Nov 2026, reset 2 Nov 2026. Link data typeset by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.
Vectro domain colophon
Read the colophon
| Domain age | 3 days |
|---|---|
| Registered | |
| Expires | |
| Registrar | CloudFlare, Inc. |
| DNSSEC | Not signed |
Vectro launch colophon
Measured after Vectro went live on Zivaro Launch on 2 November 2026.
- Domain Rating (Ahrefs)
- 0
- First measured 2 Nov 2026
- Referring domains (Majestic)
- 0
- First measured 2 Nov 2026
Day 0 since launch. Next receipt: day 30, 2 Dec 2026. These are measurements, not proof of cause: many things move these numbers. Figures we have not measured are left out.
Compare and explore
Questions and answers
How do I query data with Vectro?
You can query data using SQL with the sql() function, or using JavaScript methods like filter, groupBy, and join.
Where does Vectro run?
Vectro runs on Node servers, in web browsers, and on edge runtimes like Cloudflare Workers. It is written in pure JavaScript and WebAssembly.
How much memory does Vectro use?
Vectro uses only 0.37 GB of memory to query a billion rows from a file on disk, significantly less than DuckDB which used 6.9 GB for the same file.
Is there anything to install or set up?
No. Vectro is one npm package with no dependencies and nothing native to install.
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Vectro has a free listing. The owner can unlock the full profile with a paid launch for $5:
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