VMware releases SQLFire 1.0 a distributed SQL database geared towards high availability and horizontal scalability which offers table replication, table partitioning and parallel execution of queries.
With the release of version 4.0.24, the cache for Caucho's Resin Application Server now provides a memcached interface for both the client and the server. This means that Resin can function as a drop-in replacement for memcached solutions.
The MagLev project has released version 1.0 of their Ruby VM. The Ruby implementation is based on the GemStone/S Smalltalk VM which comes with GemStone's distributed cache, ACID transactions, and persistence system (OODB). InfoQ caught up with Monty Williams of the MagLev project to talk about where MagLev fits on the NoSQL spectrum, and much more.
NoSQL data stores offer alternative data storage options for non-relational data types like document based, object graphs, and key-value pairs. Can a distributed cache be used as a NoSQL store? Greg Luck from Ehcache wrote about the similarities between a distributed cache and a NoSQL data store. InfoQ caught up with him to talk about this use case and its advantages and limitations.
JSR-347 is the data grid specification. This specification came to life with a bit of controversy and confusion. InfoQ got a chance to catch up with Manik Surtani to get his take on JSR 347 and JSR 107 as well as his thoughts on caching, NoSQL, data grids and related topics.
Around January 2011, Memcached became the number one caching solution based on Java developer job demand. Memcached expanded beyond its LAMP roots. InfoQ caught up with Dustin Sallings, the implementer of Spymemcached the leading Java Memcached client, to get his perspective on the rise of Memcached in the Java world.
Second Level Caching is one of the features that is not present out-of-the-box in Entity Framework. In an MSDN article “Second-Level Caching in the Entity Framework and AppFabric” Julie Lerman shows how to implement Second Level Caching with Entity Framework to take advantage of caching services like Microsoft AppFabric.
Distributed caching is the tip of the spear for performance, yet Java does not have a standard API. JSR-107 has gained some notoriety over the years because its old yet not done. Given the increased demand for caching, it seems JSR-107 will finally see the light of day, and be part of Java EE 7. InfoQ caught up with Greg Luck, JSR-107 specification and Ehcache lead developer to discuss.
The new Read-Through and Write-Behind support in AppFabric 1.1 allow developers to improve performance while at the same time reduce the complexity of their applications. This is done by moving the logic for reading from and writing to the database into the caching server itself. Other improvements include lazy-loading of session state information and support for ASP.NET output caching.
VMware vFabric SQLFire is an in-memory distributed SQL-based cache which can work with a traditional database to persist data to disk.
Software AG, one of the leaders in the SOA and BPM market acquired San Francisco based Terracotta that is behind prominent open source products such as EhCache, Big Memory and Quartz. Terracotta products fill in the application performance and scalability needs for cloud based offerings from Software AG. In this article, InfoQ talks to Ari Zilka regarding the future of this acquisition.
Oracle has today released version 3.7 of Coherence, its distributed in-memory data grid. The new product introduces a feature called Elastic Data. According to Cameron Purdy, Vice President of Development for the Coherence product, this allows near memory speed access to data, regardless of storage medium.
Attribute Based Caching provides declarative method-level caching and cache invalidation for .NET applications. Attributes applied to a method specify how it should be cached with no additional code necessary.
DataStax unveiled Brisk, a new distribution that enhances the Hadoop and Hive platform with scalable low-latency data capabilities. This results in a single platform that can act as the low-latency database for extremely high-volume web and real-time applications while providing tightly coupled Hadoop and Hive analytics.
GlassFish Server 3.1 Supports JavaEE 6 Web Profile & Full Platform, Clustering and High Availability
The latest version of GlassFish application server supports JavaEE 6 Web Profile & Full Platform, improved OSGi support, clustering and high availability. Oracle recently released version 3.1 of commercial (Oracle GlassFish Server) and community (GlassFish Server Open Source Edition) versions of the server. New release also provides centralized administration and improved JDBC monitoring.