Apache Iceberg

Apache Doris

Execute SQL queries and retrieve metadata directly from Apache Doris databases without the need to switch contexts, simplifying the workflow and enhancing efficiency.

Apache IoTDB

Easily interact with Apache IoTDB time-series databases by utilizing a secure interface based on Python. Perform queries, view tables, and explore schemas effortlessly.

Trino (SQL Query Engine)

Enhance your AI applications by linking them to Trino/Iceberg databases for efficient SQL processing, data investigation, and table enhancement. Seamlessly manage connections and navigate catalogs for a streamlined experience.

Apache Iceberg

Explore Apache Iceberg tables on AWS effortlessly with the Model Context Protocol (MCP). Gain direct insights into catalogs, schemas, properties, and partition details without the need for intricate queries or coding.

Apache Doris

Connect seamlessly to the Apache Doris analytics platform via the MySQL protocol, unlocking robust capabilities for querying data and engaging in business intelligence and data analysis tasks.

Apache Pinot

Unlock the power of real-time analytics with seamless integration to Apache Pinot. Conduct SQL queries, analyze table schemas, inspect segments, and access cluster metadata for enhanced operational oversight and business intelligence insights.

SQLite

Unlock advanced database querying and business intelligence features by seamlessly connecting with SQLite through the Model Context Protocol (MCP). Elevate your data analysis with this powerful integration.

InstantDB

Experience high-performance database query execution with an advanced InstantDB server. Seamlessly retrieve query results and showcase code samples in various administrative, CLI, and data modeling scenarios.

Iceberg

Explore Apache Iceberg catalogs effortlessly with AI tools tailored for navigating data lakes. Discover namespaces, tables, schemas, properties, and partitions without the need for intricate catalog coding.