"We have been very satisfied with Confluent Platform as the backbone of our persistence engine. The platform has been super reliable. We have stringent requirements for real-time performance and reliability, and we have confirmed – from proof-of-concept to deployment of a cutting-edge production trading platform – that we made the right decision.”
Chief Information Officer
completes Apache Kafka.
Deploy with confidence
on the platform built by the Kafka experts.
Stream at enterprise scale
and deliver sub-25ms latency at GBps throughput.
Secure your event streaming platform
with enterprise-grade encryption, authentication and authorization.
Complete event streaming platform
Connect all your apps and data
with the broadest ecosystem of clients and connectors for Kafka.
Process and respond in real-time
with Kafka Streams and KSQL - Confluent’s streaming SQL engine.
Monitor and manage
the health of your cluster and data streams.
Freedom of choice
Deploy on any cloud
public or private, with a consistent platform and operating model.
Stream across on-premises and public clouds with the industry’s only hybrid streaming service.
Choose your operational model
as self-managed software or fully-managed service with Confluent Cloud.
Complete event streaming platform for the enterprise.
Development and Connectivity
Management and Operations
Kafka Connect & Connectors
Easily stream data from popular data sources and into popular sinks with pre-built connectors developed by Confluent. Explore Confluent Hub
Use a central registry for all standard event schemas to guarantee data compatibility as you grow your event streaming platform.
Connect producers and consumers using non-Java languages, such as C/C++, Python, Go, and .NET.
Ensure universal access to Kafka from any network connected device via HTTP through a RESTful interface.
Enable access to Kafka from MQTT devices and gateways without the need for MQTT brokers in the middle.
Build mission-critical real-time applications with a simple Java library and a Kafka cluster - no additional framework or cluster needed.
Build real-time stream processing applications against Apache Kafka using simple SQL-like semantics.
Manage key operations and monitor the health and performance of Kafka clusters and data streams with curated dashboards directly from a GUI.
Replicate Kafka topics across data centers and public clouds to ensure disaster recovery and build distributed data pipelines.
Auto Data Balancer
Optimize your resource utilization by invoking a rack-aware algorithm that automatically rebalances partitions across a Kafka cluster.
Enable pass-through client credentials from REST Proxy / Schema Registry to Kafka broker. Map AD/LDAP groups to Kafka ACLs.
Automate deployment of the complete Confluent Platform, including Kafka, as a cloud-native application on Kubernetes.
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Superior customer experiences
RBC improves their customer experience through data while staying compliant with industry regulations.
HomeAway manages double-digit billion messages per day with Kafka Streams and Confluent Platform.