In this special guest feature, Rob Malnati, COO of thatDot, explains the data debate between stream vs. batch processing. Rob is a repeat entrepreneur focused on enterprise infrastructure as software.

StarTree Inc., the developer of a managed service based on the Apache Pinot real-time data analytics platform, today rolled out a set of enhancements aimed at helping organizations more efficiently ...

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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Developers can now leverage real-time data using standard ANSI SQL, with new functionality including elastic storage separated from compute, strict-serializability, active replication and horizontal ...

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 ...

Key Takeaways Real-time data analytics lets organizations act on events as they happen, turning speed into a competitive advantage.Streaming analytics eliminate ...

In a world of real-time data, why are we still so fixated on Hadoop? Hadoop, architected around batch processing, remains the poster child for big data, though its outsized reputation still outpaces ...

Real-time data streaming is still early in its adoption, but over the next few years organizations with successful rollouts will gain a competitive advantage Today, there are many data sources—such at ...