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 ...

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.

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 ...

We look at cloud data lakes, what they are, where they fit in the data management lifecycle, their benefits and the key providers in the hyperscaler clouds ...

The Cisco Data Fabric and Splunk Federated Search for Snowflake will enable enterprises to unify, analyze, and gain insights ...

Genie is a new data integration model that underlies the Salesforce platform with the aim of moving data wherever it’s needed most -- and doing it fast.

Fivetran's Managed Data Lake Service aims to remove the repetitive work of managing data lakes.

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 ...