This whitepaper from Imply Data Inc. explains why delivering real-time analytics on a data lake is so hard, approaches companies have taken to accelerate their data lakes, and how they leveraged the same technology to create end-to-end real-time analytics architectures.
Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
Introducing Apache Druid
Sponsored Post Apache Druid was invented to address the lack of a data store optimized for real-time analytics. Druid combines the best of real-time streaming analytics and multidimensional OLAP with the scale-out storage and computing principles of Hadoop to deliver ad hoc, search and time-based analytics against live data with sub-second end-to-end response times. Today, […]
Manage Deploys MemSQL for Real-Time Analytics
MemSQL, provider of the database platform for real-time analytics, revealed that Manage, a leader in programmatic mobile marketing and advertising, has deployed MemSQL to power real-time analytics. Manage helps enterprises like Uber, Wish, and Amazon manage global mobile marketing campaigns by buying real-time programmatic inventory to drive the most engaging users to mobile applications.
Bigstep Launches Real-Time Container Service
Bigstep, the big-data cloud provider, launched Bigstep Real-Time Container Service designed especially for real-time streaming applications, microservice-based architectures and memory-intensive workloads that require low latency and high performance.
Interview: Dr. William Bain, Founder and CEO at ScaleOut Software
I recently caught up with Dr. William Bain, Founder and CEO at ScaleOut Software, to discuss his perspectives on real-time analytics as well as the benefits and challenges for businesses adopting this technology.