지금 Current 2022: The Next Generation of Kafka Summit에 등록해서 데이터 스트리밍의 미래를 라이브로 확인해 보세요!
Get your data to the right place, in the right format, at the right time to build data products faster and unlock endless use cases.
"With Confluent, we have a much more flexible architecture that makes it possible for our teams to operate more independently, and that ultimately leads to greater speed across the organization.
We’re removing technology barriers and getting data to the teams that need it faster, and that’s enabling us to take advantage of new opportunities and implement new experiences that will help our IBOs and customers."
Instant decision-making and agile development with uninterrupted streaming, continuous processing and self-service governed data access.
Use continuously flowing and evolving high-fidelity real-time data for all your use cases
Allow teams closest to the data to create and share data streams across the enterprise
Separate data flow and processing logic to optimize cost and performance at scale
Bring software delivery practices to pipelines to experiment, test and deploy with agility
Balance self-service access with security and compliance rules by governing end-to-end
Build modern data flows to promote data reusability, engineering agility and greater collaboration, so more teams can use well-formed data to unlock its full potential.
Power all your operational, analytical and SaaS use cases with high quality real-time data streams
Maintain data contracts and enable self-service search and discovery to trustworthy data products
Express data flow logic and let the infrastructure flex automatically to process data at scale
Easily iterate, evolve and reuse data flows with DevOps toolchain integrations and an open platform
Track where your data goes, how it got there, and who has access to it with end-to-end governance
Set up your data pipeline in minutes. Simplify the way you build real-time data flows and share your data everywhere.
Create and manage data flows with an easy-to-use UI and pre-built connectors
Centrally manage, tag, audit and apply policies for trusted high-quality data streams
Use SQL to combine, aggregate, clean, process and shape data in real-time
Prepare well-formatted, trustworthy data products for downstream systems and apps
Securely collaborate on live streams with self-service data discovery and sharing