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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...
Unlock Cost Savings with Freight Clusters–Now in General Availability
Confluent Cloud Freight clusters are now Generally Available on AWS. In this blog, learn how Freight clusters can save you up to 90% at GBps+ scale.
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.
3 Reasons Why Storyblocks Chose Confluent Over Other Apache Kafka Services
Storyblocks is the world’s first stock media subscription service offering video, audio, and images. To support this fast-growing business, the Storyblocks platform produces millions of events every day, ranging from […]
Defrag Your Data Architecture
With many operating systems you have to periodically run a disk defragmenter program (“defrag”) to restore your system efficiency. By reorganizing the data stored on disk, sequential data becomes more […]
Streaming SFDC Data to BigQuery for Real-Time Customer Analytics
A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is […]
Thierry Mbemba Grows with Confluent, Emerging as a Sales Leader
In four years, Thierry Mbemba has gone from an entry-level sales rep at Confluent to one of the leading producers on the company’s worldwide sales team. A customer relationships driver […]
AWS and Confluent Announce Deepened Strategic Collaboration
Today we’re announcing an exciting Strategic Collaboration Agreement (SCA) with Amazon Web Services (AWS). This new five-year agreement builds on our strong existing collaboration, with the goal of making it […]
IoT Reference Architecture and Implementation Guide Using Confluent and MongoDB Realm
The Internet of Things (IoT)—connecting physical objects to software components—has created several innovations and opportunities for enterprise companies, and continues to grow in top industries, including healthcare, smart factories, energy, […]
Adopt Data Streaming with The Definitive Guide
Enabling data in motion within an organization involves much more than simply setting up a Confluent cluster, piping in a few data sources, and writing a set of streaming applications. […]
What’s New in Apache Kafka 3.1.0
On behalf of the Apache Kafka® community, it is my pleasure to announce the release of Apache Kafka 3.1.0. The 3.1.0 release contains many improvements and new features. We’ll highlight […]
Customer Support at Confluent: Good People, Rapid Growth
What’s it really like to spend your days helping Confluent customers? Below, Alex Altman (Senior Director of Americas Support), Sam Hecht (VP, Global Support and Success Engineering), and Anna McDonald […]
Introduction to Streaming Data Pipelines with Apache Kafka and ksqlDB
A data pipeline is a method for getting data from one system to another, whether for analytics purposes or for storage. Learning the elements that make up this proven architecture […]
How Instacart Upscaled Its Data Pipelines to Handle 10 Years of Growth in 6 Weeks
Instacart’s core mission—to create a world where everyone has access to the food they love and more time to enjoy it together—took on a new level of importance and urgency […]
Announcing the Confluent Q1 ‘22 Launch
The Confluent Q1 ‘22 Launch is live and packed full of new features that enable businesses to continue innovating quickly with real-time experiences fueled by data in motion. Our quarterly […]
Announcing ksqlDB 0.23.1
We’re pleased to announce ksqlDB 0.23.1! This release allows you to now perform pull queries on streams, which makes it much easier to find a given record in a topic. […]
5 Common Pitfalls When Using Apache Kafka
Whether you’re a seasoned Apache Kafka® developer or just getting started you’re likely to hit a snag at some point or another—either in configuring and understanding your clients or setting […]