Innovative approaches to in-memory database computing offer enterprise clients improved speed and storage for Big Data applications. Altibase recently announced that it is working with Intel, to help with the process of capturing and organizing large amounts of memory. Specifically, Altibase’s HybridDB, which merges an in-memory database and on-disk database into a single, fully ACID compliant, SQL standard compliant DBMS engine, is using the Intel® Xeon® processor E7 v2 family to help support the large amounts of memory it needs to satisfy clients’ insatiable appetite for faster processing and memory.
According to Altibase, “Altibase conducted a test of HDB with the Intel Xeon processor E7 v2 family. The results showed that the in-memory data performance improved in comparison to the previous-generation Intel.”
So what does it all mean for enterprise customers seeking extreme performance, capacity, and scalability? The collaboration between Altibase and Intel allows higher speed processing, incorporating large volumes of data that is leading to measurable improvements of processing in-memory. This is one of a number of successful recent collaborations between Altibase and Intel that are accelerating the advancement and deployment of in-memory database technology across businesses of all sizes.
For example, a few months ago, Altibase connected its HyrbidDB with the Intel® Distribution for Apache Hadoop (Intel Distribution) to allow users to execute real-time, high performance database processing from its HybridDB database management system while users were still able to scale and store data indefinitely using the Intel Distribution.
In this most recent announcement, Altibase noted that, “Intel Xeon processor E7 v2 family-based platform, and the in-memory data processing performance of Altibase … improved by 1.94 times compared to the previous-generation Intel Xeon processor E7 family-based platform.”
This improvement is enabling enterprise customers to experience unsurpassed in-memory database performance without sacrificing speed or storage.