Destinations
Connect to data warehouses, data lakes, and databases where your synced data will be loaded.
What are Destinations?
Destinations are target systems where Supaflow loads your ingested data. Once connected, you can create pipelines that sync data from sources into these destinations.
To add a destination:
- Navigate to Destinations in the sidebar
- Click + New Destination
- Select your connector type
- Follow the connector-specific setup guide below
- Click Test & Save
Available Destination Connectors
Cloud Data Warehouses
Snowflake Industry-leading cloud data warehouse with native integration. Supports key-pair authentication and automatic schema creation.
Cloud Storage & Data Lakes
Amazon S3 Data Lake Load data as Parquet files or Apache Iceberg tables to Amazon S3. Supports AWS Glue and Snowflake Open Catalog for querying with Athena, Spark, Snowflake, and other analytics engines.
Amazon S3 (Legacy) Load data as Parquet files to Amazon S3 with optional AWS Glue Data Catalog integration for querying with Athena.
Databases
PostgreSQL Open-source relational database. Can be used as both source and destination.
Schema Management
Each pipeline gets a unique schema prefix (e.g., salesforce, hubspot_2) that determines where data is loaded:
- Sources without schemas (Salesforce, HubSpot): Prefix becomes the schema name
- Sources with schemas (PostgreSQL): Prefix is prepended to source schema names
Supaflow automatically creates target schemas in your destination warehouse.
Next Steps
After connecting a destination:
- Add a Source - Choose where to pull data from
- Create a Pipeline - Configure what data to sync
- Monitor Activities - Track pipeline execution
Support
Need help? Contact us at support@supa-flow.io
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