Community

General information, troubleshooting, and questions

Join the community in the #ksqldb Slack channel and the ksql-users discussion group.

Community Slack and Google Group registration are both free and self-service.

Development discussion

The ksqlDB team coordinates day-to-day design and implementation on GitHub.

We use KLIPs (ksqlDB improvement proposals) to discuss major changes.

Blog posts by customers & users
Intrusion Detection with ksqlDB
How PushOwl Uses ksqlDB to Scale Their Analytics and Reporting Use Cases

This article illustrates how ksqlDB was added to PushOwl’s Python tech stack and walks through our journey of using various solutions before adding Apache Kafka® and ksqlDB to our toolkit.
Data Enrichment in ksqlDB Using UDTFs

Broadcom Modernizes Machine Learning and Anomaly Detection with ksqlDB
Real-Time Data Replication with ksqlDB at Bolt
Real-Time Small Business Intelligence with ksqlDB

What if you’re a small-sized or medium-sized enterprise with data, and have a desire to do more with it—can you make use of Kafka?
ksqlDB: The Missing Link Between Real-Time Data and Big Data Streaming

Is ksqlDB just another pre-hominid in our technological evolution, or is it the real missing link between big data and fast data systems?
Articles from the ksqlDB team + Confluent
How to Efficiently Subscribe to a SQL Query for Changes

Readings in Streaming Database Systems

How ksqlDB Works: Internal Architecture and Advanced Features

The New Streaming Foreign-Key Join Feature in Kafka Streams
Online, Managed Schema Evolution with ksqlDB Migrations
Analysing Historical and Live Data with ksqlDB and Elastic Cloud

Building data pipelines isn’t always straightforward. The gap between the shiny “hello world” examples of demos and the gritty reality of messy data and imperfect formats is sometimes all too easily glossed over.
How Real-Time Stream Processing Safely Scales with ksqlDB, Animated

Announcing Pull Queries in Preview in Confluent Cloud ksqlDB

Bounding ksqlDB Memory Usage
How Real-Time Materialized Views Work with ksqlDB, Animated

ksqlDB Meets Java: An IoT-Inspired Demo of the Java Client for ksqlDB
How Real-Time Stream Processing Works with ksqlDB, Animated
The Curious Incident of the State Store in Recovery in ksqlDB
I've got the Key, I've Got the Secret. Here's How Keys Work in ksqlDB 0.10.0

ksqlDB 0.10 includes significant changes and improvements to how keys are handled. This is part of a series of enhancements that will ultimately end with ksqlDB supporting multiple key columns and multiple key formats.
Measuring and Monitoring a Stream Processing Cloud Service: Inside Confluent Cloud ksqlDB

Consistent Metastore Recovery for ksqlDB Using Apache Kafka Transactions
Learning All About Wi-Fi Data with Apache Kafka and Friends
Building a Clickstream Dashboard Application with ksqlDB and Elasticsearch
Building a Telegram Bot Powered by Apache Kafka and ksqlDB
From Eager to Smarter in Apache Kafka Consumer Rebalances
Highly Available, Fault-Tolerant Pull Queries in ksqlDB

ksqlDB Execution Plans: Move Fast But Don’t Break Things
Confluent Cloud KSQL is Now Available
Building a Materialized Cache with ksqlDB
Exploring ksqlDB with Twitter Data
Kafka Streams and ksqlDB Compared – How to Choose

The biggest question when evaluating ksqlDB and Kafka Streams is which to use for our stream processing applications and why. The answer boils down to a composite of resources, team aptitude, and use case.
Introducing ksqlDB

Contribute

Contributions to the code, examples, documentation, etc. are very much appreciated.