Apache Kafka
AutomatedOpen-source distributed event streaming platform for high-performance data pipelines and streaming analytics.
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- Core capabilities
- High Throughput(Deliver messages at network limited throughput using a cluster of machines with latencies as low as 2ms.)
- Scalable(Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing.)
- Permanent Storage(Store streams of data safely in a distributed, durable, fault-tolerant cluster.)
- High Availability(Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions.)
- Built-in Stream Processing(Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing.)
- Connect to almost anything(Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more.)
- Mission Critical(Support mission-critical use cases with guaranteed ordering, zero message loss, and efficient exactly-once processing.)
- Trusted By Thousands of Orgs(Thousands of organizations use Kafka, from internet giants to car manufacturers to stock exchanges.)
- Vast User Community(Kafka is one of the five most active projects of the Apache Software Foundation, with hundreds of meetups around the world.)
- Client Libraries(Read, write and process streams of events in a vast array of programming languages.)
- Rich Online Resources(Rich documentation, online training, guided tutorials, videos, sample projects, Stack overflow, etc.)
- Large Ecosystem(Large ecosystem of open source tools: Leverage a vast array of community-driven tooling.)
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