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Distributed event streaming platform that stores data as a durable, replayable log, built for high-throughput real-time pipelines rather than traditional point-to-point queuing.

• Backend

Distributed messaging and streaming platform built for financial-grade transactional reliability at very high throughput.

• Backend

Distributed messaging and streaming platform that unifies traditional queuing and event streaming with built-in multi-tenancy.

• Backend

Unified programming model for defining batch and stream data processing pipelines that can run portably across multiple execution engines.

• Analytics

Distributed stream processing engine for computing over continuous, unbounded data streams with exactly-once correctness guarantees.

• Analytics

Unified analytics engine for large-scale batch and stream data processing, one of the most widely adopted big data frameworks.

• Analytics

Kubernetes operator that automates running Apache Kafka clusters, handling deployment, configuration, and lifecycle management.

• Backend