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, the company that built a streaming service on top of the open source Apache Kafka project, has always been about helping companies capture streams of data. First it was on prem, then later ...

Using workarounds to pipe data between systems carries a high price and untrustworthy data. Bharath Chari shares three possible solutions backed up by real use cases to get data streaming pipelines ...

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 ...

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 ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

The so-called modern data stack is getting a facelift and perhaps a complete body makeover. As the point of control shifts from the database management system to the governance layer, we cite three ...