All blog posts
Illustration with person on laptop managing internal metadata.
Data & AI
,

Apache Kafka version 3.3 goes live

Avatar female
This is some text inside of a div block.
October 7, 2022
Avatar Taha Akbas
Taha Akbas
&
October 7, 2022
Kafka 3.3 is out – and introduces an important change of internal metadata management. The Apache Kafka Project is parting ways with ZooKeeper in order to make room for its successor KRraft, a self managed metadata quorum.

Introduction of ZooKeeper’s successor

Apache Kafka 3.3 heralds the end of ZooKeeper for internal metadata management: It is replaced by the solution-internal tool Kafka Raft (KRaft). KRaft was first introduced with the release of Kafka 2.8 as the successor to ZooKeeper, which managed distributed, open-source configuration and synchronization, as well as name registries for distributed applications in Kafka so far. However, KRaft remained in Early Access state since its release in spring 2021 and was not intended for production use – until now! With this week’s release of Kafka 3.3, KRaft has been granted «Production-Ready» status. This means that KRaft can now be deployed to new Kafka clusters.

Reasons for switching to KRaft

There are several reasons why Apache Kafka project managers have opted for a self-managed metadata quorum for the future. On the one hand, the move to KRaft aims to break the dependency on ZooKeeper and thus reduce the overall complexity of the Kafka architecture. In addition, the elimination of ZooKeeper simplifies both administration and operation of Kafka clusters, as separate components are no longer required to manage the controller. Other benefits of KRaft include faster failover times in the event of controller downtime, as well as a massive improvement in partition scaling. Particularly for this reason it is worthwhile for Kafka project administrators to switch from ZooKeeper to KRaft.  

Is KRaft backwards compatible?

But what can those without the luxury of a greenfield approach do? At present, existing Kafka clusters managed with ZooKeeper cannot be migrated to KRaft yet. Such functionality will be available with the next release planned for the end of 2022 at the earliest: The experimental support for migration from ZooKeeper to KRaft is then to follow with Kafka 3.4. However, effective migration of productive clusters to KRaft will not be possible until Bridge Release 3.5. But don’t worry: Currently, the transition phase to KRaft has just begun. Although ZooKeeper is expected to be deprecated as of Kafka 3.5, it will probably not give way to its successor until Kafka 4.0, leaving enough time for a clean migration to KRaft.

FAQ’s

Frequently asked questions

No items found.
Written by
Author Portrait
This is some text inside of a div block.
October 7, 2022
Avatar Taha Akbas
Taha Akbas
&
07.10.2022
Share this blog post
Author Portrait
This is some text inside of a div block.
October 7, 2022

Related Blog Posts

Business partners shaking hands with logos of mesoneer and squirro overlayed.
Partnership between mesoneer and Squirro
mesoneer AG has entered a partnership with Squirro AG. Together, their goal is to provide customers with a secure, controlled, and enterprise-wide GenAI platform that enables the use of chatbots, Retrieval Augmented Generation (RAG) and AI agents.
Read more
mesoneer
 | 
12.02.2026
What Is Data Management?
What Is Data Management?
Data is a key resource in the digital age, but only structured data management unlocks its true potential. Organizations aiming for better decisions, stronger compliance, and accelerated innovation need more than isolated tools. They require a strategic approach to data that combines governance, architecture, and cultural change. This article explores how data management becomes a long-term success factor for future-ready businesses: clear, practical, and business-driven.
Read more
Maximilian Walser
Dirk Budke
 | 
02.09.2025
RAG explained
RAG: Retrieval-Augmented Generation Explained Simply
This blog provides an overview of how RAG emerged, why it is so important for the use of LLMs in enterprises, and which application areas are particularly well-suited for it. Additionally, we illustrate how RAG works in practice using a project at a Swiss bank and highlight which aspects of data protection and compliance need to be considered.
Read more
Dirk Budke
Maximilian Walser
 | 
09.05.2025
View more articles