MindsDB Query Engine vs PGSpider
MindsDB Query Engine
github.comPGSpider
github.comSide by side
| Figure | MindsDB Query Engine | PGSpider |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Federation Software | 8.1 (#7) | 7.6 (#12) |
| Deployment | The project documents running the engine with Docker or installing it from PyPI. | The README documents building from source and installing to /usr/local/pgspider. |
| License | MindsDB Core is licensed under Elastic License 2.0, and the repository notes that some directories have their own licenses. | The included license permits use, copying, modification, and distribution without a fee, and disclaims warranties and an obligation to provide support or updates. |
| Purpose | MindsDB Query Engine provides semantic search over data through SQL and connects to more than 200 data sources. | PGSpider is a SQL cluster engine for distributed big data that accesses data sources through Foreign Data Wrappers. |
Plans
In their own words
MindsDB Query Engine
MindsDB Query Engine provides SQL access to connected data sources and semantic search, including for AI agents that need live, queryable data. It connects to more than 200 sources and runs federated queries against them in place, using one SQL dialect without copying data or using ETL pipelines. Listed source examples include PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, S3, and Slack. Users can work in an HTTP SQL editor or connect clients such as DBeaver and SQLAlchemy through MySQL and PostgreSQL wire protocols. For unstructured content, knowledge bases pair an embedding model with a vector store and, optionally, a reranking model. Hybrid search combines vector similarity with BM25 keyword matching. Projects organize work, views preserve cross-source transformations, and scheduled jobs run SQL at intervals. Deployment options include Docker and PyPI installation. The engine is available for Linux, web, API, and self-hosted use. The free plan is listed at free; MindsDB Core uses the Elastic License 2.0, and some repository directories have separate licenses.