In the fast-evolving world of data engineering, two methods of data analysis have emerged as the dominant, yet competing, approaches: batch processing and stream processing. Batch processing, a ...

On Confluent Cloud for Apache Flink®, snapshot queries combine batch and stream processing to enable AI apps and agents to act on past and present data New private networking and security features ...

Overview: The best tools for real-time data science analytics in 2025 enable instant insights from streaming data.Apache ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...

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 ...

DeltaStream, Inc., the serverless stream processing platform, today announced the broader availability of DeltaStream Fusion, ...

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.

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DeltaStream, Inc., the serverless stream processing platform, announced the broader availability of DeltaStream Fusion-the unified streaming data platform that brings streaming, real-time, and batch ...

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 ...