We live in a world in motion. Stream processing allows us to record events in the real world so that we can take action or make predictions that will drive better business outcomes. The real world is ...

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 ...

Stream processing unifies applications and analytics by processing data as it arrives, in real-time, and detects conditions within a short period of time from when data is received. The key strength ...

At MongoDB.local in New York, the company announced general availabiity of Atlas Stream Processing and other long-awaited features. MongoDB has made Atlas Stream Processing, a new capability it ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Cory Benfield discusses the evolution of ...

In one of its most significant product updates since going public, Confluent Inc. today introduced a new cloud-based toolkit to help enterprises analyze real-time data from their systems more ...

Overview: Modern organizations rely on integrated data platforms to process massive datasets and generate real-time insights.Cloud-native platforms like Snowfla ...

Overview: Big data analytics enables businesses to make faster, evidence-based decisions using large volumes of structured data.Companies improve workflows, sup ...