Confluent Blog

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

This blog post is the third in a series about the Streams API of Apache Kafka, the new stream processing library of the Apache Kafka project, which was introduced in Kafka v0.10.

Apache Kafka (the basis for the Confluent Platform) delivers an advanced stream processing platform for streaming data across AWS, GCP, and Azure at scale, used by thousands of companies. Amazon

This blog post is the first in a series about the Streams API of Apache Kafka, the new stream processing library of the Apache Kafka project, which was introduced in Kafka v0.10. Current

In previous blog posts we introduced Kafka Streams and demonstrated an end-to-end Hello World streaming application that analyzes Wikipedia real-time updates through a combination of Kafka Streams and Kafka Connect.

This post was written by guest blogger Rajiv Kurian from SignalFx. SignalFx is a member of the Confluent partner program. Rajiv is a software engineer with over five years experience building

Apache Kafka is a high-throughput distributed message system that is being adopted by hundreds of companies to manage their real-time data. Companies use Kafka for many applications (real time stream

Apache Kafka has a data structure called the “request purgatory”. The purgatory holds any request that hasn’t yet met its criteria to succeed but also hasn’t yet resulted in an

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,

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.