Faster insights, reduced complexity, and a more efficient approach to data processing. “The future of analytics isn’t about choosing between streaming, batch, or real-time processing—it’s ...

Confluent, Inc. (Nasdaq: CFLT), the data streaming pioneer, announced new Confluent Cloud capabilities that make it easier to process and secure data for fas ...

Streaming media services are another popular use case for real-time analytics. The big streaming providers capture billions of data points about which shows are popular and who’s watching what.

Another stream processing vendor to keep an eye on is RisingWave Labs.The company, which builds a distributed SQL streaming database, recently launched a fully managed version of its product. Dubbed ...

In Confluent Cloud, snapshot queries let teams unify historical and streaming data with a single product and language, enabling consistent, intelligent experiences for both analytics and agentic AI.

Anisha Nainani, a prominent data technologist, has made significant strides in data streaming applications and big data analytics. Her groundbreaking contributions earned her the 2024 Global ...

Stream processing is used to power services such as real-time analytics and alerts, internet of things device tracking, user activity monitoring and online application data serving.

But the gear shift from batch processing to real-time streaming has proven to be a game-changer, launching the innovative capabilities of F1 into the stratosphere. Batch data processing vs real-time ...

Confluent, Inc., the data streaming pioneer, announced new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and decision-making. Snapshot queries ...