In-memory databases work faster than databases with disk storage. This is because they use “internal” optimization algorithms, which are simpler and faster, and this type of system requires fewer CPU instructions than a disk storage system. Additionally, accessing data that has been stored “in-memory” eliminates the need for seek time while searching for data. As […]
Hybrid Database Architectures Lead the Way
Hybrid databases have evolved in the last decade, with a focus on cloud environments. In 2013, Gartner created the term “Hybrid Transaction/Analytical Processing” (or HTAP), which is defined by Gartner as: “An emerging application architecture that ‘breaks the wall’ between transaction processing and analytics. It enables more informed and ‘in business real time’ decision making.” […]
Three Ways to Cut the Fluff Out of Big Data Analytics in the Cloud
Click to learn more about author Mathias Golombek. I think there are three key things you can do to make sure you take the right approach to Big Data Analytics in the cloud. These days everyone is talking about Big Data in the hope that it will transform their business and many now see the […]
In-Memory Database Advancements Lead to Data-Driven Success
“Our recent research shows that companies now agree that data is the most important asset in an organization today – sometimes even more than human resources,” said Mathias Golombek, CTO for Exasol in a recent DATAVERSITY® interview. Yet evolving technology and organizational issues have led to separated systems, data silos, and lost opportunities. “The question […]
Enhanced Real-Time Data Processing with Redis Labs’ In-Memory Database Solution
In 2009, Salvatore Sanfilippo began the Redis project, a supplemental software program designed to improve LLOOGG (currently an open source project), by helping it to process data more quickly and efficiently. From there, the Redis project blossomed into Redis Labs, providing services and products to augment a customer’s Data Management potential through an advanced, NoSQL, […]
Kinetica Aims to be The Data Science Company with its GPU-Accelerated Database
“I feel the need…the need for speed.” That quote could be as easily applied to business users eager for the power to move forward with Advanced Analytics as it could to generations of Naval pilots inspired by Tom Cruise in the 1986 movie Top Gun. With Version 6.0 of its GPU-accelerated database, released in January, […]