Confluent was founded by the original creators of Apache Kafka to provide an enterprise-grade, cloud-native event streaming platform. It eliminates the operational burdens of self-managing open-source Kafka by offering a fully managed cloud service (Confluent Cloud) and a comprehensive on-premises/hybrid solution (Confluent Platform)
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Apache Kafka is an open source distributed system used to publish, subscribe to, store, and process streams of events or records in real time.
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Originally created to handle real-time data feeds at LinkedIn, Kafka quickly evolved from a messaging queue to a powerful event streaming system, capable of handling over one million messages per second or trillions of messages per day.
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It is designed for high throughput, fault tolerance, and horizontal scalability, and is commonly used for building real-time data pipelines and event-driven applications. Learn how its inherent scalability and reliability is transforming modern applications, analytics, and AI.
- A fully managed, serverless Kafka service natively integrated across AWS, Google Cloud, and Microsoft Azure.Confluent
- Platform: A self-managed package that brings cloud-native Kafka capabilities, like Tiered Storage and Self-Balancing Clusters, into private data centers or hybrid environments.
- Confluent Warpstream: A Bring-Your-Own-Cloud (BYOC) architecture that stores all data directly in cloud blob storage (like AWS S3) to significantly reduce infrastructure costs.
FeaturesWhile open-source Apache Kafka provides the core messaging engine, Confluent extends it with critical production-ready tools:
- Schema Registry: Centrally manages and validates message schemas (Avro, Protobuf, JSON Schema) to ensure data consistency and prevent application breaks.
- Pre-built Connectors: Offers over 120+ pre-built connectors to easily stream data to/from external databases, cloud services, and storage systems without writing custom producer/consumer code.
- Stream Governance & Security: Adds enterprise-grade security like OAuth authentication, Role-Based Access Control (RBAC), audit logs, and data lineage tracking.
- ksqlDB: Allows you to process, transform, and analyze streaming data using standard SQL queries.
- Flink Integration: Provides seamless serverless stream processing via built-in Apache Flink, enabling real-time data enrichment and transformations
- For developers looking to integrate Confluent Kafka into their applications, Confluent provides highly optimized client libraries. Notably, their confluent-kafka-python library is built on the C library librdkafka, offering significantly higher throughput, lower latency, and better async/await support than pure Python alternatives.