Fueling Your Competitive Edge with Data Management for Speed and Scale

Data has continued to grow at an exponential pace, and along with that trend, more businesses are beginning to take advantage of data. Businesses have begun to rely more and more on their IT departments to be able to leverage their data quicker than their competition. However, it is difficult to get the most out of data as fast as organizations would like to do so.

Recently, DBTA held a special roundtable webcast to provide education on new data management technologies and techniques for meeting increasing requirements posed by modern applications for speed, scale and flexibility. From high volume transactions, to the analytical processing of new data sources and types, modern applications are more demanding than ever — on commodity hardware or in cloud. The webcast featured with Susan Lee, product marketing manager, developer solutions, of MarkLogic; Nikita Ivanov, CTO of GridGain Systems; and Brian Bulkowski, CTO and co-founder of Aerospike.

With the continued growth in data in size and type, databases have had to evolve as well to keep up. MarkLogic is able to offer a flexible database that is schema agnostic. What has been setting MarkLogic apart is semantics. “At a high level, semantics state facts in a manner that a computer can easily understand. They perform “triples” which is a subject, predicate, and object,” explained Lee. Semantics better allow computers to draw conclusions and come to the right answers better than before. This allows MarkLogic’s customers better efficiency when it comes to their data projects, said Lee, who pointed to benefits MarkLogic has offered Springer, an industry leader in scientific and medical publishing. “MarkLogic was able to make complex things simpler for Springer. Springer was able to build four applications in the time and budget they allocated for one,” stated Lee.

Apache Ignite is an in-memory data fabric that slides in between the data sources on the bottom and a variety of applications on top. “The word ‘fabric’ is important because we don’t want to be a one-trick pony,” stated GridGain’s Ivanov.  “Lots of customers use Apache Ignite as a system of records and we provide a variety of different ways as to how you can process or access this In-Memory data layer,” stated Ivanov.  The fabric is versatile and contains numerous capabilities ranging from data grid to streaming and many more. “The idea behind the fabric is to have a universal approach to in-memory computing, not just one way, but to essentially have a universal storage layer that many projects can use,” noted Ivanov.

Aerospike provides an open-source, flash-optimized, in-memory NoSQL key-value store that began with the idea of there being a need for greater level of production capabilities in databases.  “When a company is generating millions of transactions per second, second after second, to make the most informed choice possible is when you should start looking at NoSQL solutions,” explained Bulkowski.  Enterprises who have taken on the NoSQL pattern have found faster development times and faster times to market according to Bulkowski. Industries such as fraud detection and billing, which generate millions of transactions per second, are prime candidates for the high-speed NoSQL that Aerospike offers.

To watch a replay of this webinar, go here.

Related Articles

MarkLogic Pushes NoSQL Further Into the Enterprise

Posted September 24, 2015