MindsDB Query Engine vs PlyDB

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.

PlyDB has no write-up on Specifiction yet; its figures are above.