
Apache KafkaThe Apache Software Foundation
Apache Kafka is an open-source distributed event streaming platform used for building high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. It enables real-time data processing with scalability, fault tolerance, and low latency across diverse industries.
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The Apache Software Foundation
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Product details
Apache Kafka
Apache Kafka is an open-source distributed event streaming platform designed for building real-time data pipelines and streaming applications. It is used by thousands of companies, including over 80% of the Fortune 100, across industries such as banking, insurance, telecom, and manufacturing. Kafka enables high-throughput, low-latency, fault-tolerant data processing and integration, making it ideal for mission-critical applications.
Features
- High Throughput: Delivers messages at network-limited throughput with latencies as low as 2ms.
- Scalability: Supports clusters with thousands of brokers, trillions of messages per day, and petabytes of data.
- Permanent Storage: Stores data streams in a distributed, durable, fault-tolerant cluster.
- High Availability: Efficiently stretches clusters across availability zones or geographic regions.
- Stream Processing: Built-in capabilities for joins, aggregations, filters, transformations, and exactly-once processing.
- Connect Interface: Integrates with hundreds of event sources and sinks like Postgres, JMS, Elasticsearch, AWS S3.
- Client Libraries: Supports multiple programming languages for reading, writing, and processing streams.
Capabilities
- Event Streaming: Real-time publishing and subscribing to streams of records.
- Data Integration: Seamlessly connects disparate systems and applications.
- Durable Storage: Retains data reliably for long periods, even if not consumed immediately.
- Fault Tolerance: Ensures system resilience and data integrity under failure conditions.
- Distributed Architecture: Operates across multiple servers and data centers.
- Operational Simplicity: Simplifies deployment and management with built-in tooling and APIs.
Benefits
- Real-Time Insights: Enables immediate reaction to data events for analytics and decision-making.
- Modern Data Infrastructure: Supports event-driven architectures and microservices.
- Cost Efficiency: Reduces overhead by consolidating data pipelines and stream processing.
- Developer Productivity: Rich documentation, tutorials, and community support accelerate development.
- Enterprise-Grade Reliability: Guarantees message ordering, zero message loss, and exactly-once semantics.
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