Integrations
Connect databases, data warehouses, and data pipelines to D23.
D23 connects to 50+ databases and data warehouses out of the box using Apache Superset's native connectors, all secured with encrypted credential storage.
Supported databases
| Category | Databases |
|---|---|
| Cloud data warehouses | Snowflake, BigQuery, Redshift, Databricks, Synapse |
| OLAP / columnar | ClickHouse, Druid, Pinot, Trino, Presto, StarRocks |
| Relational | PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite |
| Lakehouse | Delta Lake, Apache Hudi, Iceberg (via Trino/Spark) |
| Other | Elasticsearch, Google Sheets, CSV upload |
Browse the full list in the integrations directory.
Connecting a database
- Go to Settings → Database Connections → + Database.
- Select your database type.
- Enter your connection string or fill in the guided form.
- Click Test connection to verify, then Save.
D23 stores connection credentials encrypted at rest, scoped to your workspace.
dbt integration
If you use dbt, D23 can import your dbt models and semantic layer definitions:
- dbt models appear as ready-to-chart virtual datasets.
- dbt metrics feed the Superset semantic layer so your business metrics stay consistent.
Connect via the dbt Cloud API or by pointing D23 at your dbt project's manifest.json.
MCP connector
D23 exposes your Superset datasets and dashboards as Model Context Protocol (MCP) resources. Any MCP-compatible AI client — including Claude — can query your data, fetch chart data, and list dashboards without writing SQL.
Read more on the MCP page.
Scoped and governed
Every connection is scoped to your workspace. Credentials are encrypted and never shared across workspaces. All queries are logged for audit. See Governance.