Before creating a destination, review the target connectors overview to revisit the shared throughput, schema, and governance parameters.
Relational databases & warehouses
- Snowflake – Feed your Snowflake warehouses with analytics-ready pipelines.
- Postgres – Publish transformed data into dedicated Postgres schemas.
- MySQL – Push output tables into your MySQL or MariaDB instances.
- Oracle – Synchronize datasets to Oracle Database securely.
- Teradata – Load analytical tables optimized for your Teradata workloads.
- IBM i – Expose Popsink results in DB2 for i for your legacy applications.
- MSSQL – Distribute Popsink transformations to Microsoft SQL Server.
- ClickHouse – Deliver high-frequency data into ClickHouse.
NoSQL, vector, and cloud services
- BigQuery – Make Popsink datasets available in BigQuery for serverless analytics.
- MongoDB – Write into MongoDB Atlas or self-hosted collections.
- Cosmos DB – Synchronize multi-model Azure Cosmos DB containers.
- Pinecone – Keep your Pinecone vector indexes aligned with Popsink pipelines.