MongoDB is set to update its namesake database, along with its Atlas cloud service, with new capabilities the vendor introduced on Tuesday at its MongoDB World 2022 conference in New York City. The ...
Updates announced at the company’s annual MongoDB World conference this week include new analytics capabilities, a data lake for its Atlas database as a service, and the ability to query encrypted ...
Microsoft unveiled a swath of new database and analytics capabilities aimed at enabling agentic AI development and analysis, including a NoSQL database in Fabric and a chat feature in Power BI. Azure ...
NoSQL databases have emerged to address the limitations of traditional relational systems when managing massive, heterogeneous datasets generated by modern applications. They dispense with rigid ...
ZL Technologies, Inc. (ZL), a leader in unified enterprise information governance and analytics, formally announced ZL NoSQL DB™, the company’s core processing and storage engine for massive-scale ...
The modern sense of NoSQL, which dates from 2009, refers to databases that are not built on relational tables, unlike SQL databases. Often, NoSQL databases boast better design flexibility, horizontal ...
Enterprise NoSQL database provider MarkLogic Corporation has partnered with business intelligence vendor Tableau Software to offer analytics and visualization over unstructured big data. The ...
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Learn the key differences between relational and NoSQL databases with this in-depth comparison. There’s nothing wrong with the traditional relational database management system. In fact, many NoSQL ...
NoSQL databases, also referred to as non-relational, continue to grow in popularity both on-premises and in the cloud. Of the 395 different database management systems tracked by site DB-engines, more ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More ScyllaDB has made a name for itself in recent years as a high-performance ...
The way organisations store, manage and analyse data will always be a challenging issue given the constant assault of data on corporate IT systems. It’s as though IT teams are always playing catch-up.
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