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.
A common challenge organizations face is how to extract, transform, and load (ETL) Salesforce data into a data warehouse, so that the business can use the data. Salesforce (SFDC) is […]
The Confluent Q1 ‘22 Launch is live and packed full of new features that enable businesses to continue innovating quickly with real-time experiences fueled by data in motion. Our quarterly […]
While Self-Balancing Clusters (SBC) perform effectively in balancing Apache Kafka® clusters, one of the common themes we hear from our users is that they would love some visibility into the […]
Chances are your business is migrating to the cloud. But if you operate business applications in an on-premises datacenter, you know firsthand that the journey to the cloud is fraught […]
Collecting and indexing logs from servers, applications, and devices enables crucial visibility into running systems. A log analytics pipeline allows teams to debug and troubleshoot issues, track historical trends, or […]
An initial distributed deployment of Confluent Platform is often a necessary step toward supporting your first real-time data use case. We offer enterprise-grade deployment orchestration with Confluent for Kubernetes and […]
Sharing metadata on the data you store in your Confluent cluster is paramount to allow for effective sharing of that data across the enterprise. As the usage of real-time data […]
In our February 2020 blog post Celebrating Over 100 Supported Apache Kafka® Connectors, we announced support for more than 100 connectors on Confluent Platform. Since then, we have been focused […]
At Confluent, we’re serious about security, and we’re focused on simplifying security visibility across our cloud and on-premises solution. This blog demonstrates how to monitor Confluent Cloud authorization events using […]
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 […]
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 […]
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 […]
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 […]
Many Oracle Database customers currently still leverage Oracle 12c or 18c in their production environments, with some even using Oracle 11g. Most of these customers have moved to 19c or […]