Multi-Database Querying
Multi-database querying is the ability to connect to and query several different databases—often different engines entirely—from a single tool or interface.
In Depth
Real companies rarely have one database. Production runs on Postgres, an old service still uses MySQL, product events sit in MongoDB, and the new project is on Supabase. Multi-database querying means one interface speaks to all of them, translating questions into each engine's dialect, instead of forcing you to juggle four clients with four credential sets. The value is consolidation: one place to ask questions, one mental model, one access policy—regardless of where the data physically lives.
How AI for Database Helps
AI for Database connects to multiple databases—PostgreSQL, MySQL, SQL Server, MongoDB, Supabase, and more—so you can query each of them in plain English from one place.
Related Terms
Federated Query
A federated query is a single query that pulls and combines data from multiple separate databases or data sources as if they were one system.
Database Connector
A software component that enables applications to connect and communicate with specific database systems.
Database Connection String
A database connection string is a single line of text containing everything needed to connect to a database: the host address, port, database name, username, password, and options like SSL settings.
PostgreSQL
An advanced open-source relational database known for extensibility, standards compliance, and robust feature set.
MySQL
One of the world's most popular open-source relational databases, widely used for web applications.
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