Confluent Blog

This is an edited transcript of a talk given by Alan Woodward and Martin Kleppmann at FOSDEM 2015. Traditionally, search works like this: you have a large corpus of documents, […]

As part of Confluent Platform 1.0 released about a month ago, we included a new Kafka REST Proxy to allow more flexibility for developers and to significantly broaden the number […]

The Apache Kafka community just announced the 0.8.2.1 release. This is a a bug fix release and fixes 4 critical issues reported in the 0.8.2.0 release (the full list of […]

Note: The blog post Apache Kafka Supports 200K Partitions Per Cluster contains important updates that have happened in Kafka as of version 2.0. This is a common question asked by […]

This is an edited and expanded transcript of a talk I gave at Strange Loop 2014. The video recording (embedded below) has been watched over 8,000 times. For those of […]

If you are getting started with Kafka one thing you’ll need to do is pick a data format. The most important thing to do is be consistent across your usage. […]

We are very excited to announce general availability of Confluent Platform 1.0, a stream data platform powered by Apache Kafka, that enables high-throughput, scalable, reliable and low latency stream data […]

This is the second part of our guide on streaming data and Apache Kafka. In part one I talked about the uses for real-time data streams and explained the concept of […]

Data systems have mostly focused on the passive storage of data. Phrases like “data warehouse” or “data lake” or even the ubiquitous “data store” all evoke places data goes to […]

Some people call it stream processing. Others call it event streaming, event sourcing, or CQRS. Some even call it complex event processing. Sometimes, such buzzwords are just smoke and mirrors, […]