Data Management | News, how-tos, features, reviews, and videos
AutoML frameworks and services eliminate the need for skilled data scientists to build machine learning and deep learning models
5 in-memory computing platform capabilities that support analytical processing of both data lake data and operational streams
Flexible, distributed document database offers an easy query language, mobile synch, independently scalable services, and strong consistency within a cluster
Microsoft builds on its existing Azure database tool to deliver hyperscale versions of PostgreSQL and Azure SQL
MapR gives HPE superior big data analytics technology and expertise, but not what HPE needs most
Most companies have foundational databases. As you move to the cloud, decide if those databases are vintage models or clunkers ready for the scrap heap
Highly flexible and hugely scalable, NoSQL databases offer a range of data models and consistency options to suit your application
These stellar databases combine horizontal scalability with highly efficient engines for storing and analyzing connected data