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Stream Processing
Introducing Confluent Private Cloud: Cloud-Level Agility for Your Private Infrastructure
Confluent Private Cloud (CPC) is a new software package that extends Confluent’s cloud-native innovations to your private infrastructure. CPC offers an enhanced broker with up to 10x higher throughput and a new Gateway that provides network isolation and central policy enforcement without client...
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
Confluent announces the General Availability of Queues for Kafka on Confluent Cloud and Confluent Platform with Apache Kafka 4.2. This production-ready feature brings native queue semantics to Kafka through KIP-932, enabling organizations to consolidate streaming and queuing infrastructure while...
New in Confluent Intelligence: A2A, Multivariate Anomaly Detection, Vector Search for Cosmos DB, Amazon S3 Vectors, and More
Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.
Delivery Guarantees and the Ethics of Teleportation
This blog post discusses the two generals problems, how it impacts message delivery guarantees, and how those guarantees would affect a futuristic technology such as teleportation.
Stream Processing in Your Native Tongue
Stream processing has long forced an uncomfortable trade-off: choose a framework based on its power, or in your preferred programming language. GraalVM may offer an alternative solution to avoid having to choose.
Combining CDC Transactional Messages Using Kafka Streams
An Approach to combining Change Data Capture (CDC) messages from a relational database into transactional messages using Kafka Streams.
Succeeding with Change Data Capture
Change data capture (CDC) converts all the changes that occur inside your database into events and publishes them to an event stream. You can then use these events to power analytics, drive operational use cases, hydrate databases, and more. The pattern is enjoying wider adoption than ever before.
Building Event Streaming Applications in .NET
In this post, we introduce how to use .NET Kafka clients along with the Task Parallel Library to build a robust, high-throughput event streaming application...
A (Stream Processing) Recipe for Thankfulness
This Thanksgiving-themed blog post walks through a brand new stream processing use case recipe for analyzing survey responses in real-time and gives ideas for how to spice it up and make the recipe your own!
Debugging of a Stream-Table Join: Failing to Cross the Streams
Joining two topics to aggregate the data is one of the fundamental operations in stream processing. But that's not to say that it's simple. Let me show you what can go wrong!
Announcing ksqlDB 0.28.2 and Improvements to ksqlDB in Confluent Cloud
We are excited to announce the ksqlDB 0.28.2 release as well as new cloud-specific improvements! This release simplifies the getting started experience, helps to run and monitor critical pipelines
Serverless Stream Processing with Apache Kafka, Azure Functions, and ksqlDB
Serverless stream processing with Apache Kafka® is a powerful yet often underutilized field. Microsoft’s Azure Functions, in combination with ksqlDB and Confluent’s sink connector, provide a powerful and easy-to-use set […]
Announcing ksqlDB 0.27.1
We are excited to announce the ksqlDB 0.27.1 release! This iteration brings forth new functionality for dynamic data access against multi-schema topics, a host of improvements relating to working with […]
Announcing ksqlDB 0.26
We are excited to bring forward yet another ksqlDB release with ksqlDB 0.26. This time we have focused on improving your experience with aggregate functions, JOINs, and schemas. We have […]
Stream Processing vs. Batch Processing: What to Know
With more data being produced in real time by many systems and devices than ever before, it is critical to be able to process it in real time and get […]
Announcing ksqlDB 0.25.1
We are thrilled to announce ksqlDB 0.25! It comes with a slew of improvements and new features. In particular, we improved how UDAFs work with complex types like Structs and […]
Introducing Stream Processing Use Case Recipes Powered by ksqlDB
From fraud detection and predictive analytics, to real-time customer experiences and cyber security, stream processing has countless benefits for use cases big and small. By unlocking the power of continuous […]