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Confluent Blog
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.
The Connect API in Kafka Cassandra Sink: The Perfect Match
The Connect API in Kafka is a scalable and robust framework for streaming data into and out of Apache Kafka, the engine powering modern streaming platforms. At DataMountaineer, we have worked on many big data and fast data projects across many industries from financial...
Event sourcing, CQRS, stream processing and Apache Kafka: What’s the connection?
Event sourcing as an application architecture pattern is rising in popularity. Event sourcing involves modeling the state changes made by applications as an immutable sequence or “log” of events. Instead […]
Announcing Confluent Platform 3.0.1 & Apache Kafka 0.10.0.1
A few months ago, we announced the release of open-source Confluent Platform 3.0 and Apache Kafka 0.10, marking the availability of Kafka Streams — the new stream processing engine of […]
Flink and Kafka Streams: a Comparison and Guideline for Users
This blog post is written jointly by Stephan Ewen, CTO of data Artisans, and Neha Narkhede, CTO of Confluent. Stephan Ewen is PMC member of Apache Flink and co-founder and CTO […]
Sharing is Caring: Multi-tenancy in Distributed Data Systems
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 […]
Data Reprocessing with the Streams API in Kafka: Resetting a Streams Application
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.
The Top Sessions from This Year’s Kafka Summit Are…
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 […]
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | August 2016
It is August already, and this marks exactly one year of monthly “Log Compaction” blog posts – summarizing news from the very active Apache Kafka and stream processing community. Hope […]
Secure Stream Processing with the Streams API in Kafka
This blog post is the second 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 […]
Elastic Scaling in the Streams API in Kafka
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 […]
Log Compaction | Highlights in the Apache Kafka and Stream Processing Community | July 2016
Here comes the July 2016 edition of Log Compaction, a monthly digest of highlights in the Apache Kafka and stream processing community. Want to share some exciting news on this […]
Build and monitor Kafka pipelines with Confluent Control Center
On May 24, we announced Confluent Control Center, an application for managing and monitoring a Kafka-based streaming platform. Control Center has a beautiful user interface, and under the surface we […]
Distributed, Real-time Joins and Aggregations on User Activity Events using Kafka Streams
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. […]
Apache Kafka and Kafka Streams at Berlin Buzzwords
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 […]