In a connected world, real-time data pipelines power applications and insights, providing the digital infrastructure for active data. This helps data-driven companies understand how their customer ...

Even though systems such as Hadoop and Spark can grapple with large amounts of data, their tools for analyzing and parsing this information efficiently and in real-time are still limited. A two-year ...

The actual definition of real-time database versus the abused interpretation used by marketers of real fast database systems. The interplay of transient and persistent memory, and hard and soft ...

A single legacy data source is no longer enough. Industry 4.0 operations pull from dozens of telemetry streams that traditional historians were never built to handle. Modern manufacturers are ...

What are the database management system (DBMS) requirements for complex real-time sensor data fusion? What application modifications are needed if a DBMS isn’t being used? Different definitions of ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More As demand for AI continues to grow, so too is interest and demand in ...

Tinybird Inc., a startup with a platform for powering real-time analytics projects, today announced that it has raised $30 million in funding. Balderton Capital led the Series B investment with ...

Last week, application-performance monitoring service provider New Relic launched an offering that allows customers to mine its operational data for business intelligence. The new beta offering, ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. When Snowflake announced its $250 million acquisition of Crunchy Data two weeks ago at its ...

Healthcare is rapidly adopting AI, with large language models (LLMs)—AI systems trained on massive datasets to understand and generate human-like language—now supporting clinical documentation, ...