Minimize Financial Risk in Real-time Using In-Memory Data Management

Financial Services industry is one of the first adopters of big data solutions. The regulatory and risk environment for a financial services company makes it mandatory to continuously innovate and implement solutions that will help overcome the challenges of big data. The financial crisis in the last few years has made the situation tougher by [...]


Boosting Hibernate Performance with In-Memory Data Management

One of the great benefits of persistence frameworks like Hibernate is that they allow architects and developers to mange data in ultra-fast machine memory, or RAM. By default, a first-level cache — at the Hibernate session level — is always enabled. A second-level cache, at the session-factory tier, is optional, but can result in huge performance gains at [...]


Too Big to Scale? Why Financial Services can Benefit from In-Memory Data Management

Financial services organizations make money by managing a variety of tradeable assets. These assets rely on data from multiple sources to make the business of managing money run efficiently. With the recent growth in data volumes and data velocity, the wheels of this financial engine are slowing down due to pressure on existing applications to [...]


Mainframe Offload with In-Memory Data Management

Tech pundits sometimes talk about mainframes as if they disappeared along with leisure suits, punk rock, and the Deutschmark. But as CIOs and technology architects know all too well, mainframes are quite alive — if not altogether well — in a surprising number of today’s big enterprises. In fact, their tendency to become bottlenecks is [...]


Eliminate Telecom Fraud using In-Memory Data Management

Fraud impacts all organizations. Most organizations are unable to fully eliminate fraud and hence have to live with it as the cost of doing business.  A recent survey estimates global telecom fraud losses at $40.1 Billion USD or approximately 1.88% of revenue. This number is based on only the known fraud transactions, adding the unknown [...]


In-Memory Data Management: Solving Telecom’s Big Data Pains

Telecom is one of the leading verticals reeling from big data pains. These pains started showing after the iPhone was launched in 2007. Before the iPhone, the Telecom business mostly had customers that were on pay-per-use data plans resulting in few scalability challenges and infrequent network outages. Then came the iPhone that made the all-you-can-eat [...]


Showing off Terracotta In-Genius – 2013 AFCEA San Diego Plugfest Participation

A couple of weeks ago (end of January 2013), 2 colleagues and I participated (under our company banners, Terracotta and Software AG) in a government “plugfest”…and we won first place! Check out this other article in CTO Vision that also talks about our win - and if you’re in a rush, jump directly to the short 3 [...]


Hadoop + BigMemory: Run, Elephant, Run!

When many of us hear the term Big Data, we think Hadoop. That’s only natural as Hadoop has helped countless organizations overcome huge Big Data challenges, at relatively low cost.  No surprise, therefore, that analysts expect global demand for Hadoop to grow to $13.95 billion by 2017. That said, Hadoop isn’t a complete answer to [...]


3 Maxims for Customer Delight

These are challenging times for online retailers. Customer loyalty is short lived and just one unpleasant experience can lead to losing the customer for life. Customers not only expect a great experience across all touchpoints but also demand the best price and an accurate understanding of their needs. Get this mix right, though, and loyalty [...]