Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
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.
Maintain high-fidelity data that’s continuously flowing, evolving, and being processed with real-time data streaming and in-flight processing.
Deliver ready-to-use, trustworthy data products by shaping it into multiple contexts on the fly and enable self-service search and discoverability for your engineering 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 from and 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
Unified API that supports stream processing, batch processing and ad-hoc analytics
Supports Java, Python, & SQL with 150+ built-in functions
Help engineers securely search, discover and explore existing data assets across the organization, effortlessly request access to these streams directly within the GUI and easily build and manage data products to power real-time pipelines or applications.
Get a ‘google maps’ view for your real-time data and a drill-down magnification for answering complex data relationships and questions in visual graphs.
Specify schemas, metadata, rules, semantic context and access the data you need in exactly the format your analytics query engines need it in.
“ [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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