We Re The Central Nervous System For Data Streaming Says Confluent

By themelower On Apr 20, 2026

5 Tips For Enterprise Wide Adoption Of Data Streaming Confluent Jay kreps, confluent co founder, chairman and ceo, joins 'mad money' host jim cramer to talk hom the data streaming service works, how companies are utilizing confluent in connection to. Confluent’s cloud native platform is designed to unleash real time data. it acts as a central nervous system in companies, letting them connect all their applications around real time streams and react and respond intelligently to everything that happens in their business.

We Re The Central Nervous System For Data Streaming Says Confluent Confluent helps indian enterprises modernise legacy estates by putting a real‑time data streaming layer around existing systems, so they can evolve safely instead of “rip and replace,” while building in continuity for mission critical workloads. In this episode of the tech disruptors podcast, confluent’s cofounder and ceo jay kreps joins bloomberg intelligence senior software analyst sunil rajgopal to discuss the origins of apache kafka. Cnbc television published this video item, entitled “we’re the ‘central nervous system’ for data streaming, says confluent ceo jay kreps” – below is their description. It’s kind of a central nervous system that pulls data together and lets you work with it in real time. that has opened up data to modern applications, including artificial intelligence.

Perluas Cakupan Data Streaming Confluent Gandeng Alibaba Cloud Cnbc television published this video item, entitled “we’re the ‘central nervous system’ for data streaming, says confluent ceo jay kreps” – below is their description. It’s kind of a central nervous system that pulls data together and lets you work with it in real time. that has opened up data to modern applications, including artificial intelligence. In this exclusive interview, jay kreps, ceo of confluent and co creator of apache kafka, shares his insights on the transformative power of data streaming for modern enterprises. “the aspiration is to create something as essential as the data warehouse or operational databases—a central nervous system for real time data flows across the company,” explains ceo jay kreps. Ibm’s $11b purchase of confluent gives ibm a market leading, enterprise grade real time data streaming platform (apache kafka based) that plugs a critical gap in feeding low latency, governed data to generative agentic ai and hybrid cloud apps. Ibm has agreed to buy data infrastructure company confluent for $11 billion in cash, marking the technology giant's largest acquisition in years as it seeks to capitalize on surging enterprise demand for artificial intelligence capabilities.

Confluent The Data Streaming Platform In this exclusive interview, jay kreps, ceo of confluent and co creator of apache kafka, shares his insights on the transformative power of data streaming for modern enterprises. “the aspiration is to create something as essential as the data warehouse or operational databases—a central nervous system for real time data flows across the company,” explains ceo jay kreps. Ibm’s $11b purchase of confluent gives ibm a market leading, enterprise grade real time data streaming platform (apache kafka based) that plugs a critical gap in feeding low latency, governed data to generative agentic ai and hybrid cloud apps. Ibm has agreed to buy data infrastructure company confluent for $11 billion in cash, marking the technology giant's largest acquisition in years as it seeks to capitalize on surging enterprise demand for artificial intelligence capabilities.

Kora The Cloud Native Engine For Apache Kafka Ibm’s $11b purchase of confluent gives ibm a market leading, enterprise grade real time data streaming platform (apache kafka based) that plugs a critical gap in feeding low latency, governed data to generative agentic ai and hybrid cloud apps. Ibm has agreed to buy data infrastructure company confluent for $11 billion in cash, marking the technology giant's largest acquisition in years as it seeks to capitalize on surging enterprise demand for artificial intelligence capabilities.

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