This past April, Confluent hosted the inaugural Kafka Summit in San Francisco. Bringing together the entire Kafka community to share use cases, learnings and to participate in the hackathon. The […]
Update: Today, KSQL, the streaming SQL engine for Apache Kafka®, is also available to support various stream processing operations, such as filtering, data masking and streaming ETL. It is complementary […]
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 […]
We are very excited to announce the general availability of Confluent Platform 2.0. For organizations that want to build a streaming data pipeline around Apache Kafka, Confluent Platform is the […]
I am very excited that LinkedIn’s deployment of Apache Kafka has surpassed 1.1 trillion (yes, trillion with a “t”, and 4 commas) messages per day. This is the largest deployment of Apache […]
Apache Kafka is widely used to enable a number of data intensive operations from collecting log data for analysis to acting as a storage layer for large scale real-time stream […]
This post has been written in collaboration with Derrick Harris from Mesosphere and Joe Stein, a Kafka committer. For an updated version of this article, please see Apache Mesos, Apache Kafka and […]
This is a repost of a recent article that I wrote for ODBMS. In the last few years, there has been significant growth in the adoption of Apache Kafka. Current […]
Some of us from Confluent will be speaking at QCon NYC next week about Apache Kafka and Confluent’s stream data platform. Here are some things to look forward to from […]
