Confluent Blog

I have some exciting news to share: we’ve completed a $50 million investment led by our newest partner, Sequoia Capital and Matt Miller of Sequoia will be joining our board […]

If you are using Apache Kafka from a language other than Java one of the first questions you probably have is something like, “Why are there two (or five!) clients […]

Most people think that what’s exciting about distributed systems is the ability to support really big applications. When you read a blog about a new distributed database, it usually talks […]

I’m really excited to announce a major new feature in Apache Kafka v0.10: Kafka’s Streams API. The Streams API, available as a Java library that is part of the official […]

It is my pleasure to announce that Confluent has raised a Series B funding of $24M, led by Index Ventures and joined by our Series A investor, Benchmark. Mike Volpi […]

Testing is one of the hardest parts of building reliable distributed systems. Kafka has long had a set of system tests that cover distributed operation but this is an area […]

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. […]

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 […]

Today I’m excited to announce that Neha Narkhede, Jun Rao, and I are forming a start-up called Confluent around realtime data and the open source project Apache Kafka that we […]