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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.
Implement a Cross-Platform Apache Kafka Producer and Consumer with C# and .NET
Sometimes you’d like to write your own code for producing data to an Apache Kafka® topic and connecting to a Kafka cluster programmatically. Confluent provides client libraries for several different […]
Announcing ksqlDB 0.20.0
We’re pleased to announce ksqlDB 0.20.0! The 0.20 ksqlDB release includes support for the DATE and TIME data types, along with functionality for working with these types. The DATE type […]
Confluent and Google Cement Their Ever-Stronger Partnership with Another Smart Analytics Partner of the Year Award
We are thrilled to be named Google Cloud Technology Partner of the Year – Smart Analytics for the third straight year. By building on Google’s open cloud with Confluent’s open […]
Announcing the Confluent Q3 ’21 Release
The Confluent Q3 ‘21 release is here and packed full of new features that enable the world’s most innovative businesses to continue building what keeps them on top: real-time, mission-critical […]
Announcing the Azure Cosmos DB Sink Connector in Confluent Cloud
Today, Confluent is announcing the general availability (GA) of the fully managed Azure Cosmos DB Sink Connector within Confluent Cloud. Now, with just a few simple clicks, you can link […]
Designing and Architecting the Confluent CLI
It is often difficult enough to build one application that talks to a single middleware or backend layer; e.g., a whole team of frontend engineers may build a web application […]
The New One-Stop Shop for Learning Apache Kafka
Today, I’m very excited to announce an all-new website dedicated to Apache Kafka®, event streaming, and associated cloud technologies. The site is called Confluent Developer, and it represents a significant […]
Protecting Data Integrity in Confluent Cloud: Over 8 Trillion Messages Audited Per Day
It’s about maintaining the right data even when no one is watching. Last year, Confluent announced support for Infinite Storage, which fundamentally changes data retention in Apache Kafka® by allowing […]
From On-Prem to Cloud-Native: Multi-Tenancy in Confluent Cloud
Multi-tenancy brings cost-efficiency to infrastructure, and when done correctly, creates an economy of scale. Done incorrectly and you degrade the user experience and create maintenance nightmares for operators. This is […]
Reduce Your Data Infrastructure TCO with Confluent’s New Splunk S2S Source Premium Connector
Data is at the center of our world today, especially with the ever-increasing amount of machine-generated log data collected from applications, devices, and sensors from almost every modern technology. The […]
Kafka Summit APAC 2021 Recap
The second of this year’s three online Kafka Summits is now complete! We hope you were able to join us for Kafka Summit APAC 2021 yesterday. We had over 13,000 […]
Speed, Scale, Storage: Our Journey from Apache Kafka to Performance in Confluent Cloud
At Confluent, we focus on the holy trinity of performance, price, and availability, with the goal of delivering a similar performance envelope for all workloads across all supported cloud providers. […]
Making Apache Kafka Serverless: Lessons From Confluent Cloud
Serverless offerings in the cloud are a favorite among software engineers—a prime example are object stores such as AWS S3. For the system designer, however, it is an engineering challenge […]
Design Considerations for Cloud-Native Data Systems
Twenty years ago, the data warehouses of choice were Oracle and Teradata. Since then, growth and innovation has shifted to the cloud, and a new generation of data systems have […]