As more and more organizations have come to rely on streaming data to provide real-time insights, a number of applications have sprung up to handle the myriad technical challenges that streaming data ...

Kafka wasn’t the first open source project I was involved in at LinkedIn. We’d also built a key-value store, a workflow system, and a number of other things. The biggest difference with Kafka was that ...

Analytics is often described as one of the biggest challenges associated with big data, but even before that step can happen, data has to be ingested and made available to enterprise users. That’s ...

Organizations building real-time stream processing systems on Apache Kafka will be able to trust the platform to deliver each messages exactly once when they adopt new Kafka technology planned to be ...

Shiny new objects are easy to find in the big data space. So when the industry’s attention shifted towards processing streams of data in real time–as opposed to batch-style processing that was popular ...

When the big data movement started it was mostly focused on batch processing. Distributed data storage and querying tools like MapReduce, Hive, and Pig were all designed to process data in batches ...

This article was originally published on the Confluent blog. COVID-19 has created extraordinary challenges in virtually every industry. While much attention has been focused on the pandemic’s effect ...

Apache Kafka startup Confluent Inc. today debuted a new infinite data retention feature within its Confluent Cloud platform that enables customers to store as much related information as they want.

Confluent Inc. is looking to raise about $200 million to $300 million in a funding round that could value it at $5 billion, Bloomberg reported on Thursday evening. The publication attributed the ...