Introducing Streamhouse: the open data architecture for AI | Learn More
Confluent Blog
Aiven, Confluent, Redpanda, StreamNative and Ververica Form Streamhouse Working Group
New industry initiative establishes an open category for data architectures that power real-time applications and AI agents
KCP: How to Migrate to Confluent Cloud in Days, Not Weeks
Learn how to migrate to Confluent Cloud in hours using Confluent’s open source Kafka Copy Paste tool. Get an in-depth introduction to the KCP tool and a walk-through of the four steps of migrating from MSK to Confluent Cloud using the tool.
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.
Proven: Up to 73% Fewer Brokers With Confluent Private Cloud – and More
Confluent Private Cloud matches Kafka performance with up to 73% fewer brokers. Benchmarks prove massive TCO savings, while Centralized Policy Enforcement streamlines data governance and broker-native multi-tenancy provides the isolation needed to end "noisy neighbor" issues for good.
New in Confluent Cloud: Making Data, Pipelines, and Ops Accessible for AI-Ready Streaming
Confluent Cloud’s Q2 ‘26 launch makes AI-ready streaming accessible by delivering SQL-based workflows via the dbt adapter for Flink, enhanced developer tooling with managed MCP server and Agent Skills, production-grade AI solutions through Streaming Agents and Real-Time Context Engine, and more.
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.
InfiniteWatch + Confluent: Turning Customer Interaction Data into Real-Time Intelligence
InfiniteWatch is building an AI-native customer interaction intelligence platform that unifies these streams into a continuous, real-time understanding of customer behavior and operational state. At its core is Confluent.
Designing Sovereignty in Real-Time Data Streaming
Confluent's architectural approach to digital sovereignty for real-time streaming, showcasing our deployment spectrum, zero-access guarantees, and open-source foundation
Feed Your Data Lake With Real-Time, Analytics-Ready Tables for 30-50% Lower Cost Using Tableflow
Confluent Tableflow simplifies the process of feeding data lakes and lakehouses by turning Kafka topics directly into analytics-ready Iceberg or Delta Lake tables, eliminating complex traditional ETL stacks leading to 30%–50% lower total ingestion costs.
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.
More Signal, Less Guesswork: New Kafka Observability Updates in Confluent Cloud
Confluent Cloud rolled out new observability updates that give operators direct visibility into streaming workload performance. New Metrics API signals expose client throttling by principal, consumer group rebalance duration, connection attempt spikes, and compacted partition counts.
Modernizing IBM MQ Integrations With Confluent’s Fully Managed Connectors
Confluent's fully-managed IBM MQ Source and Sink connectors eliminate the operational overhead of self-managed Kafka Connect, securely bridging IBM MQ's transactional reliability with modern event streaming platforms like Kafka.