Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding ...

Since its debut, Tableflow has transformed how organizations make streaming data analytics-ready. It eliminates brittle ETL jobs and manual Lakehouse integrations that slow teams down. With Delta Lake ...

SAN MATEO, Calif., Sept. 26, 2019 (GLOBE NEWSWIRE) -- Rockset, the serverless search and analytics company that enables SQL on NoSQL data, today announced the capability to analyze raw events from ...

The terms “real-time data” and “streaming data” are the latest catch phrases being bandied about by almost every data vendor and company. Everyone wants the world to know that they have access to and ...

The exponential growth in data-generating events—spurred by an increasingly digital world—requires businesses to evolve their strategies to properly store, process, leverage, and monetize their data.

Today’s analytical requirements are putting unprecedented pressures on existing data infrastructures. Performing real-time analytics across operational and stored data is typically critical to success ...

Business intelligence platform provider Arcadia Data Inc. is bidding to democratize real-time streaming analytics with a new visual analytics tool for the Apache Kafka publish-subscribe messaging ...

The ability to ingest and process large volumes of data in real time is something interesting to more and more organizations. This is an area seeing rapid growth, as the use cases can translate to ...

The red-hot market for real-time analytics in the cloud just got another entrant with StarRocks Inc.’s announcement today of a cloud-native version of its SQL online analytics processing database ...

Tinybird has raised a $37 million Series A round led by CRV and Singular Ventures. Your company may have stored a ton of data in a warehouse — everything is in there. But what do you do with it now?