MindsDB Query Engine vs Presto
MindsDB Query Engine
github.comPresto
prestodb.github.ioSide by side
| Figure | MindsDB Query Engine | Presto |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Federation Software | 8.1 (#7) | 7.7 (#11) |
| Deployment | The project documents running the engine with Docker or installing it from PyPI. | The documentation describes installing Presto from a server tarball and deploying it with Homebrew, Docker, or Helm. |
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.
Presto
Presto is an open-source distributed SQL query engine for working with large datasets across different data sources. Its ANSI SQL interface can query information where it is stored and combine data from multiple sources in one query, for both interactive and batch workloads. The project lists ad hoc queries, reporting and dashboards, and open lakehouse workloads among its uses. Documented connectors include BigQuery, Cassandra, Delta Lake, Elasticsearch, Hive, Iceberg, Kafka, MongoDB, MySQL, PostgreSQL, and Redis. Presto can be installed from a server tarball or deployed with Homebrew, Docker, or Helm. Security options include Kerberos, LDAP, password-file authentication, access controls, secure internal communication, and OAuth 2.0. Users can work through its CLI or Console, connect with DBeaver or Tableau, use Java, Python, Go, or JavaScript clients, or access the REST API. The project is free and open source, overseen by the Presto Foundation, which describes it as independent of any single company. The documentation identifies release 0.299, while the getting-started page still refers to version 0 from June 2022.