Confluent Blog

The Google Dataflow team has done a fantastic job in evangelizing their model of handling time for stream processing. Their key observation is that in most cases you can’t globally

In our previous post on the Streaming Pipelines track, we highlighted some of the sessions not to be missed at Kafka Summit NYC. As a follow on to that, let’s

Here at Confluent, our goal is to ensure every company is successful with their streaming platform deployments. Oftentimes, we’re asked to come in and provide guidance and tips as developers

This is a guest blog from Alexandra Wang, Software Engineer, Pandora Media. You can connect with her on LinkedIn. Also special thanks to Lawrence Weikum and Stu Thompson as contributors of the work in this post.

It is just a few weeks out until Kafka Summit NYC! Since we’re on the program committee for this event and are also the track leads for the Streaming Pipelines track,

Note: The blog post Ensure Data Quality and Data Evolvability with a Secured Schema Registry contains more recent information. If you use Apache Kafka to integrate and decouple different data

It’s Strata+Hadoop World this week, and the who’s who of the data management world will gather at the San Jose Convention Center to talk all things big data. I’m kind

Big news this month! First and foremost, Confluent Platform 3.2.0 with Apache Kafka® 0.10.2.0 was released! Read about the new features, check out all 200 bug fixes and performance improvements

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

We’re excited to announce the release of Confluent 3.2, our enterprise streaming platform built on Apache Kafka. At Confluent, our vision is to provide a comprehensive, enterprise-ready streaming platform that