New in Confluent Cloud: Making Data & Pipelines Accessible for AI-Ready Streaming | Learn More
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...
Confluent's AI developer tools are now GA: an open-source local MCP server, a managed MCP server, and Agent Skills. Together they give AI coding assistants direct access to your streaming platform — the tools to act on it and the domain knowledge to build correctly.
Explore new Confluent Intelligence features: enhanced querying with Real-Time Context Engine, PII detection, sentiment analysis, and support for TimesFM, Anthropic, and Fireworks AI models.
The distributed architecture of Apache Kafka® can cause the operational burden of managing it to quickly become a limiting factor for adoption and developer agility. For this reason, it is […]
Data governance initiatives aim to manage the availability, integrity, and security of data used across an organization. With the explosion in volume, variety, and velocity of data powering the modern […]
Today, as part of our expanded partnership with Elastic, we are announcing an update to the fully managed Elasticsearch Sink Connector in Confluent Cloud. This update allows you to take […]
The Confluent Q3 ‘21 release is here and packed full of new features that enable the world’s most innovative businesses to continue building what keeps them on top: real-time, mission-critical […]
Today, Confluent is announcing the general availability (GA) of the fully managed Azure Cosmos DB Sink Connector within Confluent Cloud. Now, with just a few simple clicks, you can link […]
It is often difficult enough to build one application that talks to a single middleware or backend layer; e.g., a whole team of frontend engineers may build a web application […]
It’s about maintaining the right data even when no one is watching. Last year, Confluent announced support for Infinite Storage, which fundamentally changes data retention in Apache Kafka® by allowing […]
Multi-tenancy brings cost-efficiency to infrastructure, and when done correctly, creates an economy of scale. Done incorrectly and you degrade the user experience and create maintenance nightmares for operators. This is […]
Data is at the center of our world today, especially with the ever-increasing amount of machine-generated log data collected from applications, devices, and sensors from almost every modern technology. The […]
At Confluent, we focus on the holy trinity of performance, price, and availability, with the goal of delivering a similar performance envelope for all workloads across all supported cloud providers. […]
Serverless offerings in the cloud are a favorite among software engineers—a prime example are object stores such as AWS S3. For the system designer, however, it is an engineering challenge […]
Twenty years ago, the data warehouses of choice were Oracle and Teradata. Since then, growth and innovation has shifted to the cloud, and a new generation of data systems have […]
To the developer or architect seeking to provide their business with as much value as possible, what is the best way to start working with data in motion? Choosing Apache […]
This blog post is the fourth in a four-part series that discusses a few new Confluent Control Center features that are introduced with Confluent Platform 6.2.0. It focuses on removing […]