IBM buys data streaming platform Confluent
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Hadoop and big data platforms were originally known for scale, not speed. But the arrival of high performance compute engines like Spark and streaming engines have cleared the way for bringing batch and real-time processing together. But what happens when ...
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IBM drops $11B on Confluent to feed next-gen AI ambitions
Big Blue’s latest mega-buy hands it a real-time data-streaming powerhouse built on Kafka IBM has cracked open its wallet again, agreeing to shell out $11 billion for Confluent in a bid to glue together the data sprawl underpinning the next wave of enterprise AI.
“Many organizations are interested in using a single software environment for streaming and batch processing, while taking advantage of the power of the Apache Spark compute platform for analytics and the speed and resiliency of Apache Kafka for low ...
eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details problems and solutions as AI plays an expanding role in ...
Analysts forecast accretion: JPMorgan estimates 15% EPS boost by year three, citing 90% gross margins on Confluent Cloud. IBM’s dividend aristocrat status, yielding 3.5% appeals to value hunters amid Nasdaq froth.
The culprit is misconfigured Kafdrop interfaces, used for centralized management of the open-source platform. Some of the world’s largest companies have exposed reams of sensitive information from the cloud, researchers said – thanks to misconfigured ...
eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More After a yearlong beta period, Apache Kafka on Azure HDInsight is now ready to take on production workloads with ...
Apache Kafka, the open-source distributed messaging system, has steadily carved a foothold as the de facto real-time standard for brokering messages in scale-out environments. And if you think you have seen this opener before, it's because you have.