Confluent Blog

At the beginning of June several Confluent team members attended Berlin Buzzwords 2016, where we gave three talks focused on stream processing and distributed computing. These talks, which we summarize

Important: The information in this article is outdated. With recent Kafka versions the integration between Kafka Connect and Kafka Streams as well as KSQL has become much simpler and easier.

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

For a long time, a substantial portion of data processing that companies did ran as big batch jobs — CSV files dumped out of databases, log files collected at the

Previously, I posted about the Kafka REST Proxy from Confluent, which provides easy access to a Kafka cluster from any language. That post focused on the motivation, low-level examples, and

This is an edited transcript of a talk I gave at the Craft Conference 2015. The video and slides are also available.

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,

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,

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