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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.
Confluent is investing $200M over three years to expand its global partner ecosystem. This commitment will accelerate real-time data streaming adoption, unlock new revenue streams, and help partners capitalize on the more than $100 billion data streaming market driven by AI and event-driven archi...
Confluent Tableflow unifies operational and analytical data by integrating Kafka with zero ETL, leveraging open table formats such as Iceberg and Delta Lake. It offers advantages over traditional zero ETL by enabling data reuse, schema decoupling, and better scalability, streamlining data sharing.
Confluent's data streaming platform helps businesses like Swiggy, Sencrop, Citizens Bank, and GEP gain real-time insights, respond to market shifts, and optimize operations for significant cost savings and improved efficiency.
Read this Confluent Champion post to learn how a senior software engineer grows through continuous learning, deep collaboration, and a culture that fuels innovation.
Introducing NeuBird’s Hawkeye—a GenAI-powered SRE assistant purpose-built to streamline these operational demands. By intelligently ingesting telemetry, alert, and audit data from Confluent Cloud and automating diagnostic workflows, Hawkeye helps teams reduce MTTR and accelerate root cause analysis.
This blog post demonstrates building streaming ETL pipelines with Confluent Cloud for Apache Flink using SQL to transform and enrich UK flood monitoring data. It shows how to unpack nested JSON arrays, join multiple data sources, and use Tableflow to expose the enriched data as Iceberg tables for...
Confluent's data streaming platform helps businesses like EVO Banco and Bitvavo deploy features faster, enable real-time fraud detection, accelerate time to market, and deliver personalized customer experiences by processing data instantly.
A behind-the-scenes look at why hosted Kafka falls short—and how Confluent Cloud’s architecture solves for cost, resilience, and operational simplicity at scale.
Existing Confluent Cloud (CC) AWS users can now use Tableflow to easily represent Kafka topics as Iceberg tables and then leverage AWS Glue Data catalog to power real-time AI and analytics workloads.
Confluent Cloud is expanding on Jio Cloud in India. New features include Public and Private Link networking, the new Jio India Central region for multi-region resilience, and streamlined procurement via Azure Marketplace. These features empower Indian businesses with high-performance data streaming.
Confluent's new fully managed Snowflake Source connector eliminates operational overhead and transforms static Snowflake warehouse data into real-time operational insights for personalization engines, dashboards, and microservices architectures.
Explore how Flink Agents redefine enterprise AI with real-time data, event-driven processing, and scalable autonomy—built for the future of AI workflows.
We will use Chess to explain some of the core ideas behind Confluent Cloud for Apache Flink. We’ve used the chessboard as an analogy to explain the Stream/Table duality before, but will expand on a few other concepts. Both systems involve sequences, state, timing, and pattern recognition and...
AI is bringing changes in developer experience… we shared what we learned in this article about creating our new GitHub Copilot chat extension for data streaming engineers.