Hazelcast, an open source in-memory data grid solution introduces a MapReduce API for its offering.
There is so much to learn about the latest Mobile Backend as a Service provider AnyPresence's 5.0 platform geared for the enterprise that this second post was needed. Co-founder Rich Mendis provides further insight for InfoQ readers…
Mobile Backend as a Service provider AnyPresence continues to hone their chops. Launching the fifth update to their self-titled platform geared for the enterprise. Co-founder Rich Mendis provides some insights for InfoQ readers…
Latest version of open source Java In-Memory Data Grid Hazelcast supports entry processing, multi-thread execution, continuous queries and lazy indexing. They have also re-implemented all of the existing distributed objects like map, queue, executor service using Service Provider Interface (SPI).
Open source in-memory data grid company Hazelcast received funding from Bain Capital Ventures. Joining the board of the company are Rod Johnson (founder of SpringSource), Salil Deshpande (a prominent venture capitalist who focuses heavily on open source and software infrastructure) and Ali Kutay (former CEO of WebLogic).
Big Data, NoSQL databases and In-Memory computing are some of the technologies that will play key role in modernizing information management in 2013 and beyond, according to Gartner. A recent report released by Gartner team identifies the top technology trends that will have impact on the information infrastructure and governance.
Terracotta’s BigMemory 4.0 and In-Genius products offer real-time analytics and insights from Big Data sources and integration with Hadoop. Terracotta recently announced the release of the new version of in-memory data platform BigMemory and In-Genius, an in-memory intelligence platform for Big Data.
List & Label 18 recently released by combit provides support for back side printing, NuGet, cross page export including integration with Amazon web services and Visual Studio 2012.
Terracotta Inc has released BigMemory 3.7, an off-heap store snap-in for Enterprise Ehcache. BigMemory speeds up applications by keeping data in memory, without the long garbage collection pauses that is common for large JVM heap sizes. New in this version is support for multi-terabyte servers, lower search indexing overhead, and enhanced security.
In their presentation posted at InfoQ systems and data architects Ben Stopford, Farzad Pezeshkpour and Mark Atwell show how RBS leveraged new technologies in their architectures while facing difficult challenges such as regulation, competition and tighter budgets. They also need to cope with stringent technical challenges, for instance with efficiency and scalability.
In-Memory Databases are very near to becoming widely adopted, says David Campbell of Microsoft in his article “The coming in-memory database tipping point”. He also explains Microsoft’s strategy around this space.