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Technology
Queues for Apache Kafka® Is Here: Your Guide to Getting Started in Confluent
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...
AI Tools for Builders — Confluent's MCP Server & Agent Skills
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.
New in Confluent Intelligence: Real-Time Context Engine Upgrade, New Model Support, ML Functions, and More
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.
Best Tutorials for Getting Started with Apache Kafka
Each one of the more than 50 tutorials for Apache Kafka® on Confluent Developer answers a question that you might ask a knowledgeable friend or colleague about Kafka and its […]
A Guide to Stream Processing and ksqlDB Fundamentals
Event streaming applications are a powerful way to react to events as they happen and to take advantage of data while it is fresh. However, they can be a challenge […]
How to Efficiently Subscribe to a SQL Query for Changes
Imagine that you have real-time data about what’s happening in the stock market, and you want to support a large number of customized dashboards displaying the data as it comes […]
Announcing ksqlDB 0.22.0
We’re pleased to announce ksqlDB 0.22.0! This release includes source streams and source tables as well as improved pull query (for key-range predicates) and push query performance. All of these […]
Easily Copy or Migrate Schemas Anywhere with Schema Linking
Schema Linking is a new feature that’s available in preview for both Confluent Cloud and Confluent Platform 7.0 and can be used to complement Cluster Linking, in order to keep […]
Building Real-Time Hybrid Architectures with Cluster Linking and Confluent Platform 7.0
Companies are increasingly moving to the cloud, undergoing a transition that is often a multi-year journey across incremental stages. Along this journey, many companies embrace hybrid cloud architectures, either temporarily […]
Scaling Apache Druid for Real-Time Cloud Analytics at Confluent
How does Confluent provide fine-grained operational visibility to our customers throughout all of the multi-tenant services that we run in the cloud? At Confluent Cloud, we manage a large number […]
How Do You Change a Never-Ending Query?
There’s a philosophical puzzle of the Ship of Theseus where throughout a long voyage planks in a ship are individually replaced as they begin to rot. At the end, there […]
4 Key Design Principles and Guarantees of Streaming Databases
Classic relational database management systems (RDBMS) distribute and organize data in a relatively static storage layer. When queries are requested, they compute on the stored data and then return results […]
The Future of SQL: Databases Meet Stream Processing
SQL has proven to be an invaluable asset for most software engineers building software applications. Yet, the world as we know it has changed dramatically since SQL was created in […]
Readings in Streaming Database Systems
What will the next important category of databases look like? For decades, relational databases were the undisputed home of data. They powered everything: from websites to analytics, from customer data […]
Stream Governance – How it Works
At the recent Kafka Summit, Confluent announced the general availability of Stream Governance–the industry’s only governance suite for data in motion. Offered as a fully managed cloud solution, it delivers […]
A Guide to Kafka Streams and Its Uses
Kafka Streams is an abstraction over Apache Kafka® producers and consumers that lets you forget about low-level details and focus on processing your Kafka data. You could of course write […]
Using ksqlDB for Real-Time Lead Management and Reporting at Leadnomics
How do you continuously process half a terabyte of data in real time? That’s the exact question we had to answer. Leadnomics is a digital marketing company that helps companies […]