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Data Products, Data Contracts, and Change Data Capture
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Introducing Confluent Cloud Freight Clusters
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Contributing to Apache Kafka®: How to Write a KIP
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | December 2016
This month saw the proposal of a few KIPs which will have a big impact on Apache Kafka’s semantics as well as Kafka’s operability. KIP-95 : Incremental Batch Processing for […]
Announcing the 2017 Kafka Summits!
This year, we were pleased to host the inaugural Kafka Summit, the first global summit for the Apache Kafka community. Kafka Summit 2016 contributed valuable content to help Kafka users […]
Announcing the Availability of Confluent Platform in Azure Marketplace
Confluent and Microsoft are pleased to announce the successful integration of Confluent Platform into Microsoft’s Azure Marketplace. Users can now rapidly deploy a complete Confluent Platform cluster with the click […]
Announcing Confluent 3.1 with Apache Kafka 0.10.1.0
Today, we are excited to announce the release of Confluent 3.1, the only stream processing platform built entirely on Apache Kafka. At Confluent, our vision is to not only ship […]
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | November 2016
Last month the Apache Kafka community released version 0.10.1.0, the announcement blog contains a good description of new features and major improvements. In other exciting news, the PMC for Apache […]
Confluent Contributions to the Apache Kafka™ Client Ecosystem
If you are using Apache Kafka from a language other than Java one of the first questions you probably have is something like, “Why are there two (or five!) clients […]
Unifying Stream Processing and Interactive Queries in Apache Kafka
This post was co-written with Damian Guy, Engineer at Confluent, Michael Noll, Product Manager at Confluent and Neha Narkhede, CTO and Co-Founder at Confluent. We are excited to announce Interactive […]
Apache Kafka for Real-Time Retail at Walmart Labs
This post is by Anil Kumar, Global eCommerce Engineer at Walmart Labs. Anil specializes in enabling stream processing, cloud computing, ad technology, search services, information retrieval, transport and application layer protocols, […]
Announcing Apache Kafka 0.10.1.0
The Apache Kafka community is pleased to announce the release of Apache Kafka 0.10.1.0. This is a feature release which includes the completion of 15 KIPs, over 200 bug fixes and […]
Streaming Data from Oracle using Oracle GoldenGate and the Connect API in Kafka
Note As of February 2021, Confluent has launched its own Oracle CDC connector. Read this blog post for the latest information.
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | October 2016
This month the community has been focused on the upcoming release of Apache Kafka 0.10.1.0. Led by the fearless release manager, Jason Gustafson, we voted on a release plan, cut […]
Introducing Apache Kafka™ for the Enterprise
In May, we introduced our first enterprise-focused feature, Confluent Control Center, with the 3.0 release of Confluent. Today, more than 35% of the Fortune 500 companies use Kafka for mission-critical […]
