Apache Doris

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.

OracleDB

Enhances connectivity to Oracle Database, facilitating automatic identification of tables and columns, executing queries securely, and accessing metadata using conversational language, benefitting data analysts and developers.

Redis

Enhances Redis database functionality by facilitating rapid key-value operations in memory, supporting caching, session handling, and live data manipulation.

DuckDB

Leverage the capability of AI systems to retrieve and scrutinize information using DuckDB, a specialized in-memory database designed for handling complex analytical tasks efficiently. This database is tailored for OLAP operations, offering seamless compatibility with various file formats such as CSV, Parquet, and JSON, and facilitating access to external data repositories like S3.

Redis

Unlock the potential of Redis databases through seamless integration, accelerating data processing for AI tasks with in-memory capabilities.

Databricks

Facilitates seamless connectivity between AI applications and Databricks environments, allowing streamlined access to data repositories, schema structures, tables, and SQL databases to support efficient querying and data analysis within Databricks datasets.

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.

MySQL

Integrates artificial intelligence platforms with MySQL databases to enable seamless SQL query execution and advanced data manipulations, eliminating the need for direct database interaction.

Redis

Enhance your data storage capabilities with seamless integration with Redis and AWS MemoryDB. Optimize performance with fast, in-memory storage for caching, session handling, and dynamic analytics.

Apache Iceberg

Access and manage Apache Iceberg tables seamlessly using a SQL interface connected to Iceberg REST catalogs and S3-compatible storage. Facilitating data exploration in data lakes without the need to change workflows, this protocol empowers data analysts with efficient querying capabilities.

DolphinDB

Facilitates seamless connection between DolphinDB time-series database and intuitive language interface, allowing effortless data retrieval and management for professionals in finance and data analysis.

SQLAlchemy ODBC Bridge

Facilitates seamless connectivity between databases and SQL/SPARQL queries via ODBC links, allowing for schema discovery, table administration, and execution of queries with well-organized outcomes.

ODBC Database Connector

Facilitate the integration of artificial intelligence (AI) with relational databases using ODBC connection. Empower users to conduct data exploration, analysis, and knowledge graph tasks using SQL, SPARQL, and hybrid SpaSQL queries.

PyODBC

Enhance communication between artificial intelligence platforms and ODBC-compliant databases. Facilitates seamless interaction through SQL queries, table navigation, and schema identification. Tailored to leverage Virtuoso DBMS functionalities, including optimized support for SPARQL queries.