Connections
The connections module supports connecting to various structured, semi-structured, and unstructured data storage engines. Bring multi-dimensional data into the framework and realize the interaction between natural language and multi-dimensional data
The list of data sources we currently support is as follows.
| DataSource | support | Notes |
|---|---|---|
| MySQL | Yes | MySQL is the world's most popular open source database. |
| PostgresSQL | Yes | The World's Most Advanced Open Source Relational Database |
| Vertica | Yes | Vertica is a strongly consistent, ACID-compliant, SQL data warehouse, built for the scale and complexity of today’s data-driven world. |
| Spark | Yes | Unified Engine for large-scale data analytics |
| DuckDB | Yes | DuckDB is an in-process SQL OLAP database management system |
| Sqlite | Yes | |
| MSSQL | Yes | |
| ClickHouse | Yes | ClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics. |
| Oracle | No | TODO |
| Redis | No | The Multi-model NoSQL Database |
| MongoDB | No | MongoDB is a source-available cross-platform document-oriented database program |
| HBase | No | Open-source, distributed, versioned, column-oriented store modeled |
| Doris | Yes | Apache Doris is an easy-to-use, high performance and unified analytics database. |
| DB2 | No | TODO |
| Couchbase | No | TODO |
| Elasticsearch | No | Free and Open, Distributed, RESTful Search Engine |
| OceanBase | No | OceanBase is a distributed relational database. |
| TiDB | No | TODO |
| StarRocks | Yes | StarRocks is a next-gen, high-performance analytical data warehouse |