Data Platforms
What's a data platform?
Data platforms are the beating heart of your data architecture. They're the systems that centralize your data and allow you to interact with it at scale for different use cases like analytics and data exploration. These systems include (but are not limited to) data warehouses, data lakes, data lakehouses, and query engines.
Why connect Sifflet to your data platform(s)?
By connecting Sifflet to your data platform, you'll be able to leverage Sifflet's three core capabilities:
- Catalog all 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 and the assets upstream and downstream of your data platform.
Sifflet's data platform integrations
Sifflet connects with a wide range of data platforms:
- BigQuery
- Snowflake
- AWS Redshift
- Databricks
- Amazon Athena
- Apache Hive (with Apache Atlas)
- Azure Synapse
Don't see your data platform on the list? Reach out to us and we'd be happy to discuss your use case!
Data platforms default refresh frequency
By default, Sifflet performs a daily metadata refresh for data platform sources, ensuring that new assets are visible in Sifflet within 24 hours of creation.
Updated 22 days ago