How to Add Real Distributed Transactions to MongoDB – Ron Zavner

From time to time, I like to visit NoSQL conferences and talk to people from the community to see how they solve their problems. I guess I find it more neutral to do this sometimes, as opposed to speaking to

The next big thing in big data: fast data

The big data movement was pretty much driven by the demand for scale in velocity, volume, and variety of data. Those three vectors led to the emergence of a new generation of distributed data management platforms such as Hadoop for…

GigaSpaces is excited to announce a joint partnership with SanDisk today!

We are excited to announce a joint partnership with SanDisk today! With this partnership we have built a new product – called XAP MemoryXtend, that basically gives you extreme processing but at lower costs. How did it all start? We

NoSQLNoCompromises

NoSQL databases provide vast storage and high availability, but at the cost of losing transactions, relational integrity, consistency, and read performance. This post presents an architecture that combines and in-memory datagrid as a high performance transactional layer to a NoSQL

Class-Based Eviction Strategy: Going Beyond LRU

Consider you are building a financial back-office trade processing application. Trades are flowing in from the front-office system. To cope with the velocity and volume of the trades you want to use in-memory processing. The trades are usually settled no

Trade and Event Processing at a Massive Scale – QCon NY 2012

  Trade and Event Processing at a Massive Scale – QCon NY 2012 Here is Uri Cohen's presentation from his session at QCon NY. Session Abstract: Efficient, low-latency and in-order trade processing has always been at the focus of financial institutions