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Stream Processing
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...
AI Tools for Builders — Confluent's MCP Server & Agent Skills
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
New in Confluent Intelligence: Real-Time Context Engine Upgrade, New Model Support, ML Functions, and More
Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.
Data Enrichment in ksqlDB Using UDTFs
This blog post applies to ksqlDB version 0.8.1 and later. Keeping a datacenter up and running is no walk in the park. It’s a job that involves mind-boggling amounts of […]
Measuring and Monitoring a Stream Processing Cloud Service: Inside Confluent Cloud ksqlDB
While preparing for the launch of Confluent Cloud ksqlDB, the ksqlDB Team built a system of metrics and monitoring that enabled insight into the experience of operating ksqlDB, the associated […]
Announcing ksqlDB 0.10.0
We’re excited to announce the release of ksqlDB 0.10.0, available now in the standalone distribution and on Confluent Cloud! This version includes a first-class Java client, improved Apache Kafka® key […]
Unifying Streams and State: The Seamless Path to Real Time
More than ever before, people demand immediacy in every aspect of their lives. Expectations for how we shop, bank, and commute have completely evolved over the last decade. When you […]
Stream Processing with IoT Data: Challenges, Best Practices, and Techniques
The rise of IoT devices means that we have to collect, process, and analyze orders of magnitude more data than ever before. As sensors and devices become ever more ubiquitous, […]
Consistent Metastore Recovery for ksqlDB Using Apache Kafka Transactions
This is the second of a series of posts (part 1 | part 3) that dive deep into key improvements made to ksqlDB to prepare for production availability in Confluent […]
Building a Clickstream Dashboard Application with ksqlDB and Elasticsearch
Using a powerful, event-driven application can help you unlock insights contained in the event streams of your business. Before we get into the technology, let’s go over some questions you […]
Kafka Streams Interactive Queries Go Prime Time
What is stopping you from using Kafka Streams as your data layer for building applications? After all, it comes with fast, embedded RocksDB storage, takes care of redundancy for you, […]
Announcing ksqlDB 0.9.0
We’re pleased to announce the release of ksqlDB 0.9.0! This version includes support for multi-join statements, enhanced LIKE expressions, and a host of usability improvements. We’ll go through a few […]
From Eager to Smarter in Apache Kafka Consumer Rebalances
Everyone wants their infrastructure to be highly available, and ksqlDB is no different. But crucial properties like high availability don’t come without a thoughtful, rigorous design. We thought hard about […]
Highly Available, Fault-Tolerant Pull Queries in ksqlDB
One of the most critical aspects of any scale-out database is its availability to serve queries during partial failures. Business-critical applications require some measure of resilience to be able to […]
ksqlDB Execution Plans: Move Fast But Don’t Break Things
The ksqlDB Engineering Team has been hard at work preparing ksqlDB for production availability in Confluent Cloud. This is the first in a series of posts that deep dives into […]
Real-Time Data Replication with ksqlDB
Data can originate in a number of different sources—transactional databases, mobile applications, external integrations, one-time scripts, etc.—but eventually it has to be synchronized to a central data warehouse for analysis […]
ksqlDB: The Missing Link Between Real-Time Data and Big Data Streaming
Is event streaming or batch processing more efficient in data processing? Is an IoT system the same as a data analytics system, and a fast data system the same as […]