In-memory technology was around long before Big Data became a buzzword. Parallel computing dates back to the 1980s. With lower cost memory and greater workload demand, in-memory computing has emerged as a key technology. A diverse array of industries, such as finance, retail and ecommerce, looking to capture business opportunities in real-time, are turning to in-memory.
As Big Data has come to the forefront of the next wave of technological innovation, in-memory data grids have become a powerful tool. ScaleOut Software has identified five ways organizations can use in-memory technology.
Maintaining high quality data is reliant on regular updating, standardization and de-duplication. However, if these processes are flawed, the data can negatively sway organizational spend and productivity. ... More >>
You've probably used a product or service powered by a graph database within the last few hours. From social media sites like Twitter and Facebook to real-time recommendations on eBay, graphs affect our lives everyday. ... More >>
The two camps have evolved significantly, and the question still remains: When should you use a SQL-based database to solve your problem, and when should you turn to NoSQL? ... More >>