The Arrival of Streaming: Confluent Raises $50 Million Series C
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 […]
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 preview of a new feature in Apache Kafka called Kafka Streams. Kafka Streams is a Java library for building distributed stream processing apps using […]
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 […]
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 […]