Data sources
Data sources are systems that allow Sifflet to interact with your data. These systems include (but are not limited to) data warehouses, databases, data lakes, data lakehouses, and query engines.
By connecting Sifflet to a data source, you'll be able to leverage Sifflet's three core capabilities:
- Catalog all of your data assets (with valuable metadata retrieved from the data source and enriched directly in Sifflet).
- Run monitors on your data assets to detect issues as soon as they arise and allow data consumers to trust the data.
- Benefit from Sifflet's end-to-end lineage that showcases your data pipelines but also the assets upstream and downstream of your data source.
Sifflet connects with a wide range of data sources:
- BigQuery
- Snowflake
- AWS Redshift
- Databricks
- Athena
- Hive/Atlas
- PostgreSQL
- MySQL
- SQL Server
- Oracle
- Azure Synapse
- Cloud SQL
- AlloyDB
Don't see your data platform on the list? Reach out to us and we'd be happy to discuss your use case!
Updated 3 days ago