Data is the fuel of AI applications, but the magnitude and scale of enterprise data often make it too expensive and time-consuming to use effectively. According to IDC’s Global DataSphere 1, ...
The move to the data lakehouse was full of promises—speed, agility, and cost-effective query performance, to name a few. Yet, many enterprises find it difficult to realize all these benefits at once; ...
New data engine architectures such as Speedb boost metadata performance, reduce latency, accelerate search time, and optimize CPU consumption. Here’s how. The rapid growth of data-intensive use cases ...
Databricks says new products LTAP and Lakehouse//RT unify transactional and analytical data for AI agents, delivering sub-100ms latency and no ETL pipelines.
Starburst Data Inc., developer of a commercial distribution of the Trino distributed SQL query engine, today said it has acquired Varada Ltd., a Tel Aviv-based maker of a data lake analytics ...
Open table formats such as Apache Iceberg standardize data and metadata semantics across engines, but they do not provide SQL dialect interoperability, leaving identifier resolution to each engine. In ...
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