Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
Author: Victoria Xia
Introducing Versioned State Store in Kafka Streams
Versioned key-value state stores, introduced to Kafka Streams in 3.5, enhance stateful processing capabilities by allowing users to store multiple record versions per key, rather than only the single latest version per key as is the case for existing key-value stores today...
Keys in ksqlDB, Unlocked
One of the most highly requested enhancements to ksqlDB is here! Apache Kafka® messages may contain data in message keys as well as message values. Until now, ksqlDB could only […]
ksqlDB Meets Java: An IoT-Inspired Demo of the Java Client for ksqlDB
Stream processing applications, including streaming ETL pipelines, materialized caches, and event-driven microservices, are made easy with ksqlDB. Until recently, your options for interacting with ksqlDB were limited to its command-line […]
Announcing ksqlDB 0.11.0
We’re pleased to announce ksqlDB 0.11.0, which takes a big step forward toward improved production stability. This is becoming increasingly important as companies like Bolt and PushOwl use ksqlDB for […]
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 0.8.0
The latest ksqlDB release introduces long-awaited features such as tunable retention and grace period for windowed aggregates, new built-in functions including LATEST_BY_OFFSET, a peek at the new server API under […]