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Shift Processing and Governance left to maximize the ROI of your data warehouses. Reduce data quality issues by up to 60%, cut compute costs by 30%, and improve engineering productivity.
Shift Left: Unifying Operations and Analytics With Data Products
Read EbookConfluent is a partner with Snowflake
Read BlogWhat is a Headless Data Architecture?
See videoMaintain high-fidelity data that’s continuously flowing, evolving, and being processed with real-time data streaming and in-flight processing.
Shape data into multiple contexts on the fly and enable self-service search and discoverability across teams.
Process and govern data once at the source. Reduce data quality issues by 40-60% and free up your data engineering team to work on more strategic projects.
Use 120+ self-managed and 80+ fully managed zero-code and CDC connectors for instant connectivity to existing data systems
Bring your own connector and run it confidently and cost-effectively on our fully managed cloud service
Enjoy instant access to streaming data directly within AWS, Azure and GCP, so you never have to leave the tool of your choice
Clean, filter, join, and enrich streams on-the-fly to drive greater data reuse
Process continuously and serve incrementally updated views of data in milliseconds
Use a Unified API that supports stream processing, batch processing and ad-hoc analytics
Program in Java, Python, & SQL with 150+ built-in functions
Build trusted, high quality data products with explicit data contracts and schema management
Help data consumers securely self-serve to search and repurpose data products via the Data Portal
Convert Kafka topics and associated schemas to Apache Iceberg tables in one click with Tableflow
“ [Data cleaning] It’s a pricey way of pushing it down to the Deltalake. De-duplication within Confluent is a cheaper way of doing it. We can only do it once.”
“ I love the vision of this [Shift Left]. This is how we would make datasets more discoverable. I knew that Confluent had an integration with Alation but it's awesome to hear that you have other ways [Data Portal] of enabling those capabilities”
We work together with our partners to maximize the value of high quality data products across the ecosystem.
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