Kafka

Keep Kafka fast, lean, and exactly-once—without the headaches.

A logistics company used Estuary Flow's Dekaf feature for real-time analytics, replacing a complex Kafka stack to reduce overhead, enhance data reliability, and optimize fleet management, resulting in quicker deliveries and higher customer satisfaction.

Streamlined Data Integration with Kafka Compatibility

Leverage your existing Kafka infrastructure with Estuary Flow’s robust and scalable data integration platform. No Kafka broker? No problem. With Dekaf, Flow makes it easy for tools to consume data using Kafka consumers.

Streamline Real-Time Data Integration with Kafka Compatibility

Estuary Flow's Dekaf ensures seamless Kafka API compatibility, allowing services and tools to easily consume real-time data streams using existing Kafka consumers.

Full Kafka API compatibility with Dekaf for smooth real-time data consumption.

Format any data collection as a stream of Kafka messages.

Effortlessly consume real-time data with existing Kafka-based services and tools.

Efficient Real-Time Data Streaming

Dekaf optimizes your real-time data architecture, enabling rapid data consumption with minimal latency. Perfect for services that rely on real-time insights, such as analytics platforms or monitoring tools.

Real-time data streaming with minimal latency for high-performance services.
Seamlessly connect to real-time data feeds with Kafka-based services.
Integrate with Tinybird, StarTree, Bytewax, and more.

Leverage Existing Kafka Infrastructure

Easily integrate into your Kafka ecosystem with Estuary Flow, empowering real-time services to consume data without the need for complex configurations or new infrastructure.

Simple, out-of-the-box integration with existing Kafka consumers using Dekaf.
Stream messages from or into an existing Kafka broker using original-flavor Kafka connectors.
Maximize your Kafka investment by extending its real-time capabilities to new services.

Smarter Real-time Pipelines for Any Scale

Replace traditional Kafka complexities with Estuary Flow's simplified, scalable architecture, delivering consistent performance for growing businesses.

Reduce the overhead of managing Kafka brokers.
Easily handles massive real-time data streams.
Adapts to enterprise-level demands effortlessly.

Explore Top Kafka Connectors

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RisingWave

RisingWave offers an unified experience for real-time data ingestion, stream processing, data persistence, and low-latency serving.

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Materialize

A real-time SQL database that lets you run continuous queries on streaming data with low latency and strong consistency.

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ClickHouse

An open-source columnar database designed for fast, high-performance OLAP analytics on large volumes of data.

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SingleStore

A unified database platform that combines transactional and analytical workloads with in-memory speed and SQL compatibility.

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StarTree

A real-time analytics platform powered by Apache Pinot, built to deliver personalized insights at scale with low-latency queries.

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Tinybird

A real-time data platform for building APIs and dashboards directly from streaming data using SQL.

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Dekaf

Estuary Flow’s Kafka API compatibility layer that lets you connect Kafka-native tools and applications to Flow without managing a Kafka cluster.

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Apache Kafka

Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by LinkedIn and maintained by the Apache Software Foundation. It is written in Java and Scala and aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

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