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, ...
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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 ...
Starburst, the well-funded data warehouse analytics service and data query engine based on the open source Trino project, today announced that it has acquired Varada, a Tel Aviv-based startup that ...
Query groups uses AI to cluster similar search queries. The new card shows total clicks per group and highlights groups trending up or down. Query groups will roll out over the coming weeks to high ...
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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