Getting Started

Supported Databases

DB AI Magic talks to every popular database through a single adapter layer. Here's what works today and what's on the roadmap.

Relational engines

Relational databases get the full query editor, data editor, schema viewer, and reporting surface — everything DB AI Magic can do.

EngineStatusNotes
PostgreSQLReadyFull DDL/DML/DQL support. Streams large result sets.
MySQLReadyAuth modes including caching_sha2_password are supported.
Microsoft SQL ServerReadyEncrypted connections, instance/port detection.
SQLiteReadyUpload a .sqlite file and start querying instantly.

Document databases

Document databases get a browse-and-query experience with full read / write access. Charts work the same — DB AI Magic flattens the documents on the fly.

EngineStatusNotes
MongoDBReadyBrowse collections, run queries, edit documents.

On the roadmap

These engines have stub adapters in place and are queued for release. We prioritise based on customer demand — let us know if one of these is critical for you.

EngineStatusNotes
MariaDBComing soonTreated as MySQL-compatible — same driver, same features.
Azure SQLComing soonIdentical surface to SQL Server with secure defaults.
CockroachDBComing soonPostgres-compatible — works with the Postgres adapter.
Amazon RedshiftComing soonPostgres-compatible analytic engine.
GreenplumComing soonPostgres-compatible MPP engine.
OracleComing soonPublic roadmap.
SnowflakeComing soonPublic roadmap.
BigQueryComing soonPublic roadmap.
ClickHouseComing soonPublic roadmap.
DynamoDBComing soonPublic roadmap.
CassandraComing soonPublic roadmap.
RedisComing soonPublic roadmap.
ElasticsearchComing soonPublic roadmap.
IBM Db2Coming soonPublic roadmap.
CouchbaseComing soonPublic roadmap.

Feature parity

Universal capabilities

Browse, query, edit data, schema viewer, export, AI Chat, dashboards and reports all work for any stable engine. The interface looks identical regardless of which engine you're on.

Engine-specific behaviour

Some operations naturally depend on the engine — for example, MongoDB uses collections instead of tables, and SQLite is single-file. DB AI Magic hides the differences where it can and surfaces them clearly where you need to be aware.

Need a different engine?

Custom adapters are available on the Enterprise plan. If your team runs a database we don't yet support, we can build the adapter as part of your onboarding.

Requesting an engine

Reach out via the pricing page contact link with the engine name, the version you use, and a short note on what you need to do with it. Engines with multiple requests jump to the top of the queue.