MindsDB Query Engine vs openLooKeng
MindsDB Query Engine
github.comopenLooKeng
openlookeng.ioSide by side
| Figure | MindsDB Query Engine | openLooKeng |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Data Federation Software | 8.1 (#7) | 8.3 (#5) |
| Deployment | The project documents running the engine with Docker or installing it from PyPI. | The installation guide provides scripts for single-node and multi-node Linux deployments, including an offline installation option. |
| License | MindsDB Core is licensed under Elastic License 2.0, and the repository notes that some directories have their own licenses. | Huawei’s launch announcement states that openLooKeng is distributed under Apache License 2.0 for free use, modification, and redistribution. |
| Purpose | MindsDB Query Engine provides semantic search over data through SQL and connects to more than 200 data sources. | openLooKeng is an open-source data virtualization engine for querying data across disparate sources through a unified SQL interface. |
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.
openLooKeng
openLooKeng is a free, open-source data virtualization engine that lets teams query disparate systems through one SQL interface. It analyzes data where it resides, adding sources through connectors without requiring migration. Listed examples span relational databases, NoSQL systems, Hive, MPP warehouses, MySQL, Oracle, HBase, Elasticsearch, and Kafka. Queries can involve data centers, hybrid clouds, and geographically remote clusters using hierarchical deployment and cross-region plan optimization. Huawei describes interactive, batch, and streaming workloads, while noting that the first version supported interactive queries. Features include front scheduling, cross-source indexing, dynamic filtering, cross-source collaboration, horizontal scaling, and Coordinator active-active availability. The project is based on the open-source Presto SQL engine and uses Apache License 2.0. It is self-hosted, with Linux scripts for single-node, multi-node, and offline installation. Windows clients can connect through an ODBC driver supporting Windows 10 64-bit and Windows Server 2016 64-bit.