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docs: add documentation for Arc to Superset's supported databases (#35585)

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Ignacio Van Droogenbroeck
2025-10-14 11:16:59 -03:00
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docs/docs/configuration/databases.mdx
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@@ -49,6 +49,7 @@ are compatible with Superset.
| [Apache Pinot](/docs/configuration/databases#apache-pinot) | `pip install pinotdb` | `pinot://BROKER:5436/query?server=http://CONTROLLER:5983/` |
| [Apache Solr](/docs/configuration/databases#apache-solr) | `pip install sqlalchemy-solr` | `solr://{username}:{password}@{hostname}:{port}/{server_path}/{collection}` |
| [Apache Spark SQL](/docs/configuration/databases#apache-spark-sql) | `pip install pyhive` | `hive://hive@{hostname}:{port}/{database}` |
| [Arc (Basekick Labs)](/docs/configuration/databases#arc) | `pip install arc-superset-dialect` | `arc://{api_key}@{hostname}:{port}/{database}` |
| [Ascend.io](/docs/configuration/databases#ascendio) | `pip install impyla` | `ascend://{username}:{password}@{hostname}:{port}/{database}?auth_mechanism=PLAIN;use_ssl=true` |
| [Azure MS SQL](/docs/configuration/databases#sql-server) | `pip install pymssql` | `mssql+pymssql://UserName@presetSQL:TestPassword@presetSQL.database.windows.net:1433/TestSchema` |
| [ClickHouse](/docs/configuration/databases#clickhouse) | `pip install clickhouse-connect` | `clickhousedb://{username}:{password}@{hostname}:{port}/{database}` |
@@ -1256,6 +1257,20 @@ The expected connection string is formatted as follows:
hive://hive@{hostname}:{port}/{database}
```
#### Arc
The recommended connector library is [arc-superset-dialect](https://pypi.org/project/arc-superset-dialect/). Install with `pip install arc-superset-dialect`.
The connection string looks like:
```
arc://{api_key}@{hostname}:{port}/{database}
```
##### Multi-Database Support
Arc supports multiple databases (schemas) within a single instance. In Superset, each Arc database appears as a schema in the SQL Lab, and cross-database queries are supported using `database.table` syntax.
#### SQL Server
The recommended connector library for SQL Server is [pymssql](https://github.com/pymssql/pymssql).