Confluent named a Leader in the Forrester Wave: Streaming Data Platforms | Access the report
Confluent Private Cloud (CPC) is a new software package that extends Confluent’s cloud-native innovations to your private infrastructure. CPC offers an enhanced broker with up to 10x higher throughput and a new Gateway that provides network isolation and central policy enforcement without client...
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...
Explore new Confluent Intelligence features: A2A integration, multivariate anomaly detection, vector search for Cosmos DB and S3 Vectors, Private Link, and MCP support.
At Current 2023, we announced that Confluent Cloud is now up to 10x faster than Apache Kafka®, thanks to Kora, The Cloud-Native Kafka engine that powers Confluent Cloud. In this blog post, we will cover what that means in more depth.
British Telecom (BT) is a multinational telecommunications company headquartered in London, England. It was founded in 1980 and has since grown to become one of the largest telecommunications companies in the world, providing a wide range of services including fixed-line services, broadband, mobile.
Confluent Access Management, developed alongside Microsoft Azure, allows organization admins to add and manage users and user permissions after they are created via the Azure portal. See how it works.
Whether on shore or on land, cruise companies need to be moving fast and in real time to bring customers stellar experiences. See how a real-time data streaming platform can bridge the gaps for smooth sailing.
Ratish had been monitoring Confluent’s growth and performance for some time and upon speaking with the team, he was convinced that Confluent would be an excellent place to work, especially given the number of talented engineers that he knew previously, who had also joined the business.
Our latest updates to Confluent Cloud focus on enabling customers to realize a seamless experience using our data streaming platform. With these improvements, we aim to provide a more streamlined and secure experience, allowing users to focus on leveraging real-time data to drive business outcomes.
When you are focused on protecting more than 500 million people worldwide, you’re always exploring avenues that can get you to the next frontier of empowering individuals against cyber threats.
It's estimated that by 2024, global spending on telecom services will exceed $1.5 trillion. As the critical enabler of growth and innovation across many industries, telecommunication service providers are adopting a cloud-first approach to accelerate time to market, integrate with leading...
Imagine easily enriching data streams and building stream processing applications in the cloud, without worrying about capacity planning, infrastructure and runtime upgrades, or performance monitoring. That's where our serverless Apache Flink® service comes in.
Gartner has placed Confluent as a “Niche Player” in the 2023 Gartner Data Integration Tools Magic Quadrant*, noting this key strength: “Depth of data streaming/Apache Kafka understanding and support: Confluent has comprehensive stand-alone and fully managed service offerings for Apache Kafka..."
Learn how to configure Azure Active Directory DS (Azure AD DS) and Confluent Cloud so that the Azure Directory can be used to authenticate and authorize applications to use Confluent Cloud clusters.
As companies increase their use of real-time data, we have seen the proliferation of Kafka clusters within many enterprises. Often, siloed application and infrastructure teams set up and manage new clusters to solve new use cases as they arise. In many large, complex enterprises, this organic growth
Machines in motion, much like data in motion, require an engine to drive their journey. While Confluent and Apache Kafka® are your data-based engine, transitioning the perspective from software and data to hardware requires a more literal engine. No matter the machine—planes, trains, or automobiles