Confluent Blog

The rise in schema-free and document-oriented databases has led some to question the value and necessity of schemas. Schemas, in particular those following the relational model, can seem too restrictive, […]

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 a guest blog post written by Kostas Tzoumas and Stephan Ewen from data Artisans. Stream processing is becoming very popular with open source projects like Apache Kafka, Apache […]

I was at ApacheCon 2015 in Austin, Texas a couple of weeks ago. The following is a short summary of some of the trends that I observed at the conference. […]

Summary: Confluent is starting to explore the integration of databases with event streams. As part of the first step in this exploration, Martin Kleppmann has made a new open source […]

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, […]

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, […]