Supported sources
Connect your
data sources.
Sync your business tools to your warehouse, or query the databases you already use.
Explore sourcesSync to warehouse
Bring selected data into your managed warehouse. Refresh schedules and delete handling vary by source.
- PostgresFull load and continuous change capture.Setup guide
- SupabaseFull load and continuous change capture on Postgres 17+.Setup guide
- SnowflakeStream-based replication of inserts, updates, and deletes.Setup guide
- SalesforceAccounts, opportunities, contacts, leads, and CRM activity.Setup guide
- StripeCustomers, catalog, subscriptions, invoices, payments, refunds, and payouts.Setup guide
- HubSpotCRM records, activities, owners, pipelines, associations, commerce objects, and custom objects.Setup guide
- PostHogProduct usage, people, sessions, definitions, flags, experiments, and optional research data.Setup guide
- AmplitudeRaw events, event and property definitions, annotations, and cohort metadata.Setup guide
- MixpanelEvents, people profiles, cohorts, cohort membership, funnels, and annotations.Setup guide
- ApolloContacts, accounts, opportunities, tasks, sequences, and CRM stages.Setup guide
- Google SheetsSpreadsheet tabs refreshed as warehouse tables.Setup guide
Query your existing stack
Connect a database or warehouse for catalog discovery and queries where your data already lives.
- SupabaseQuery Supabase schemas.Setup guide
- Azure SQLQuery data in Azure SQL.Setup guide
- Azure Cosmos DBQuery Cosmos DB containers.Setup guide
- Azure PostgreSQLQuery data in Azure PostgreSQL.Setup guide
- Azure MySQLQuery data in Azure MySQL.Setup guide
- DatabricksQuery with Databricks SQL.Setup guide
- BigQueryQuery BigQuery with read access.Setup guide
- Amazon Athena + GlueQuery Glue tables with Athena.Setup guide
- PostgreSQLQuery data in PostgreSQL.Setup guide
- SnowflakeQuery Snowflake with read access.Setup guide
- Amazon RedshiftQuery Amazon Redshift securely.Setup guide
- MySQLQuery data in MySQL.Setup guide
Catalog & lineage
Understand tables and how data moves. These connections read metadata, not source rows.
Team context
Search conversations using the connected user’s permissions.
Beta
Available to connect now. Setup and table coverage may change before general availability.
Follow the work
behind the data.
Bring in transformation and pipeline evidence through dbt manifests, SQLMesh and DataHub exports, or OpenLineage events from Airflow, Spark, Flink, and custom applications.
These are artifact and event integrations. Each setup guide explains what evidence is supported.
Browse the source guidesDon’t see your source?
Tell us what you use and what you want to learn from it.