Confluent Blog

Dive into the inner workings of brokers as they serve data up to a consumer.

This is the Q4 CwC announcement blog—a quarterly installment introducing new entrants into the Connect with Confluent technology partner program. Every blog has a new theme, this blog focused on shift left and new use cases for SAP and GenAI.

Since its inception, change data capture (CDC) technology has significantly evolved, transitioning from a tool primarily used for database replication and migration to a cornerstone of real-time streaming. Its pivotal role in modern data architectures enables businesses to harness real-time data...

From joining Confluent as one of the first engineers on the security team to now managing a team of four, Tejal has had incredible opportunities to learn and grow during her six years at the company.

Let’s learn more about Tejal and how Confluent fosters an environment of constant learning—all...

We are proud to announce the release of Apache Kafka 3.9.0. This is a major release, the final one in the 3.x line. This will also be the final major release to feature the deprecated Apache ZooKeeper® mode. Starting in 4.0 and later, Kafka will always run without ZooKeeper.

Join Confluent at AWS re:Invent 2024 to learn how to stream, connect, process, and govern data, unlocking its full potential. Explore innovations like GenAI use cases, Apache Iceberg, and seamless integration with AWS services. Visit our booth for demos, sessions, and more.

This blog explores how cloud service providers (CSPs) and managed service providers (MSPs) increasingly recognize the advantages of leveraging Confluent to deliver fully managed Kafka services to their clients. Confluent enables these service providers to deliver higher value offerings to wider...

A year in at Confluent, Product Manager Surabhi Singh has learned a lot about data streaming—and even more about herself. In this fast-paced environment, Surabhi is highly motivated and committed to her work strategically planning, coordinating, and delivering product improvements for customers...

Building a headless data architecture requires us to identify the work we’re already doing deep inside our data analytics plane, and shift it to the left. Learn the specifics in this blog.

The Confluent for Startups AI Accelerator Program is a 10-week virtual initiative designed to support early-stage AI startups building real-time, data-driven applications. Participants will gain early access to Confluent’s cutting-edge technology, one-on-one mentorship, marketing exposure, and...

Imagine competing in a high-stakes, gamified environment where you're tasked with solving real-world data challenges, all while exploring AWS and Confluent services hands-on. Welcome to AWS GameDay—an experience like no other.

A headless data architecture means no longer having to coordinate multiple copies of data, and being free to use whatever processing or query engine is most suitable for the job. This blog details how it works.

In this third installment of a blog series examining Kafka Producer and Consumer Internals, we switch our attention to Kafka consumer clients, examining how consumers interact with brokers, coordinate their partitions, and send requests to read data from Kafka topics.