Feeling stuck with Segment? Say πŸ‘‹ to RudderStack.

Log in

Apache Kafka Source Integration

Connect Apache Kafka Source and send data from Apache Kafka Source with Rudderstack.

Source

Event Stream

Apache Kafka Source Integration

Connect Apache Kafka Source and send data from Apache Kafka Source with Rudderstack.

Source

Event Stream

By connecting Apache Kafka as RudderStack Source, you can ingest events from your existing Kafka topics, transform them in real-time, apply data governance rules, and forward events any of RudderStack's 200+ integrations.

Once the source is configured and enabled, all the events from Kafka will automatically start flowing to RudderStack.

By Adding Kafka as a Source in RudderStack, you can:

  • Skip custom integration work or pipeline management required to integrate Kafka data with other tools in your stack
  • Centralize and simplify transformation and data governance across Kafka topics
  • Forward Kafka messages to over 200 integrations, including business tools and data warehouses

Frequently Asked Questions

Apache Kafka is a event messaging service that enables developers to build and operate various kinds of data streams.

Difficulty can vary based on your existing tech stack and data streaming needs. Many users choose to simplify implementation by sending data to Apache Kafka through secure event messaging integration tools like RudderStack.

Pricing for Apache Kafka can vary depending on your use case and data volume. RudderStack offers transparent, volume-based event pricing. See RudderStack's pricing.

Apache Kafka is an open-source publish-subscribe messaging system that enables you to build scalable, fault-tolerant distributed applications with ease. The core architecture of Apache Kafka revolves around three major components - publishers, subscribers, and topics. You can also enable parallel processing and consumption of data by partitioning the topics. All the messages sent to Kafka are persisted and replicated to peer brokers. You can also configure the time period for which these messages are persisted.

Apache Kafka is used by thousands of companies worldwide for building high performance data pipelines and distributed applications at scale. Many companies use Apache Kafka in their technology stack for various other use-cases such as streaming analytics, data integration and building data-intensive applications. Apache Kafka is popular and widely-used for the following reasons: - It offers low latency and high throughput when it comes to delivering messages. This feature comes in handy in the Big Data space where ingesting and moving large amounts of data quickly and reliably is a critical requirement. - Kafka scales very well, allowing you to work with large data workloads with ease. - It integrates seamlessly with hundreds of event sources such as PostgreSQL, Elasticsearch, Amazon S3, and more. - As Kafka is an open-source project, there is a strong and vibrant community of users who are involved in continuously improving it. Kafka also supports a large ecosystem of other open-source tools.

Use the Apache Kafka Source integration with popular destinations

216 Integrations

About Apache Kafka Source

Apache Kafka is a popular distributed streaming platform. It allows you to handle large-scale workloads with high throughput and low latency. Apache Kafka is highly available and is used across the world for building real-time data pipelines and streaming applications.