To gain insights, data must be transformed and moved out of the lake into an analytical database such as Splunk, MySQL, or Oracle, depending on the use case. This process is complex, slow, and costly.

ChaosSearch, a leading log analytics platform, today announced the release of Chaos LakeDB – the first data lake database designed to power generative artificial intelligence (AI), SQL, and Live ...

A data lake is a centralized repository that allows companies to store all of its structured and unstructured data at any scale, whereas a data warehouse is a relational database designed for query ...

There's still life in the data lake concept, as evidenced by the growing success of Dremio. Dremio describes itself as 'the cloud data lake' platform. It provides a cloud-based engine that layers over ...

The MySQL Heatwave Lakehouse changes that paradigm, enabling the database to query data that is stored in cloud object storage, commonly referred to as a data lake.

The data lakehouse – it’s not a summer retreat for over-worked database administrators (DBAs) or data scientists, it’s a concept that tries to bridge the gap between the data warehouse and ...

Teradata today rolled out a pair of new products designed to broaden its appeal to a new generation of users, including a new data lake called VantageCloud Lake that melds the workload management ...

The Finance Ministry's large database, also known as a data lake, is expected to help it design fiscal policies tailored to the specific needs of different regions of the country, says finance ...

Yellowbrick Data, a SQL data platform, announced today that CRN®, a brand of The Channel Company®, recognized Yellowbrick as part of its 2025 Big Data 100 li ...