Data streaming solutions are a powerful tool for industries that depend on real-time data processing, from fintech companies managing transactions to e-commerce platforms providing personalized ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem plaguing generative AI investments—lack of fresh, trustworthy data—by ...

Confluent has unveiled new capabilities that unite batch and stream processing to enable more effective AI applications and agents. The aim? Confluent wants to position itself as an essential platform ...

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Confluent, Inc., the data streaming pioneer, is announcing a series of new capabilities for Confluent Cloud, forwarding the company’s mission of delivering a comprehensive data streaming platform that ...

AUSTIN, Texas--(BUSINESS WIRE)--Confluent, Inc. (NASDAQ:CFLT), the data streaming pioneer, today announced the Confluent OEM Program. The new program for managed service providers (MSPs), cloud ...

Receiving the highest scores possible in 14 criteria, Confluent was recognized for strengths in messaging, processing, and event-driven enterprise applications. Confluent, Inc. (NASDAQ:CFLT), the data ...

IBM is betting $11 billion that real-time data infrastructure will become as critical to AI deployments as databases were to enterprise applications. The company's just-announced acquisition of ...

Akamai Cloud offers Redpanda for high performance edge data streaming and agentic applications with added simplicity and efficiency ...

Streamlio, the intelligent platform for fast data, announced availability of Apache Pulsar 2.0, a significant new release of the streaming messaging solution at the core of the Streamlio platform.

The developer community is “getting its feet under us” with data streaming, but the transition will require organisations to create well-managed data products, Confluent’s vice-president of developer ...

What if the very foundation of your organization’s data strategy was holding you back? For years, data lakes have promised flexibility and scalability, yet many businesses find themselves grappling ...