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  • MongoGraph Brings Semantic Web Features to MongoDB Developers

    MongoGraph from AllegroGraph brings semantic web features to MongoDB developers. They implemented a MongoDB interface to AllegroGraph database to give Javascript programmers both joins and the semantic web capabilities. InfoQ spoke with AllegoGraph CEO Jans Aasman about this new approach and how it helps the NoSQL developers.

  • NoSQL OODB with Smalltalk-based Ruby VM: MagLev 1.0 Released

    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.

  • eBay readies next generation search built with Hadoop and HBase

    eBay presented a keynote at Hadoop World, describing the architecture of its completely rebuilt search engine, Cassini, slated to go live in 2012. It indexes all the content and user metadata to produce better rankings and refreshes indexes hourly. It is built using Hadoop for hourly index updates and HBase to provide random access to item information.

  • Big Data: Evolution or Revolution?

    Recently Steve Jones, from Cap Gemini, questioned whether NoSQL/Big Data is the panacea that some vendors would have us believe. He suggests that in some cases in-memory RDBMS may well be the optimal solution and that approaches such as Map Reduce could be too difficult to understand for typical IT departments. He concludes with a suggestion some sometimes Big Data may be a Big Con.

  • MongoDB’s Reliability Questioned

    Recently there have been two fairly high profile field reports on MongoDB that show it in a very unfavorable light. The majority of the criticism centers on a combination of performance problems and data loss.

  • Distributed Cache as a NoSQL Data Store?

    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.

  • Cassandra 1.0.0. Is Ready for the Enterprise

    Apache has announced the release of Cassandra 1.0.0, the first major milestone of the distributed column-based data store coming with data compression and several performance improvements and optimizations.

  • Does NoSQL have an impact on REST?

    Statelessness has been a central principle of RESTful design and implementation. However, with the advent of NoSQL implementations, Ganesh Prasad wonders whether that is no longer true and suggests that REST+NoSQL offers a way to remove this restriction, providing stateful sessions, scalability and fault tolerance.

  • Usergrid: a New Open Source Platform for Mobile and Rich Client Applications

    Last week, Ed Anuff, founder of Usergrid, announced the first source code release available on GitHub. Usergrid is a comprehensive platform stack for mobile and rich client applications. It can be deployed as a highly scalable Cloud service, it is built in Java and runs on top of Cassandra.

  • Spring Roo 1.2 M1: Apache Licensed with JPA Repositories, MongoDB and Services Layer

    SpringSource has released Spring Roo 1.2.0.M1. This release has improved performance, is released under ASL 2, is hosted in GitHub, supports JPA and MongoDB Repositories, supports a services layer, has improved GWT support, has multi-schema DBRE, and has shell improvements.

  • Oracle Joins the NoSQL Club

    Oracle has announced the Big Data Appliance running with Oracle NoSQL Database, a new key-value store based on Oracle Berkeley DB Java Edition. Some of features include: billions of rows of storage capacity in records and terabytes in B-tree, ACID transactions, CRUD, sharding, no single point of failure, disaster recovery via datacenter replication.

  • William McKnight on Columnar Databases

    Columnar databases offer better data storage capabilities for certain business use cases compared to the traditional relational database management systems. William McKnight spoke at NoSQL Now 2011 Conference last week about the columnar databases and how they can be effective for certain data storage needs.

  • Windows Server AppFabric adds Read-Through and Write-Behind Support

    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.

  • Interview: Richard Hipp on UnQL, a New Query Language for Document Databases

    This interview with Richard Hipp, creator of SQLite, unveils the details of UnQL, a new query language for JSON document databases. Hipp mentions UnQLite, an embedded document database he plans to create.

  • Google Has Open Sourced LevelDB, A Key-Value Datastore

    Google has open sourced LevelDB under the New BSD license. LevelDB is an embedded key-value datastore whose keys and associated values are arbitrary byte arrays sorted by key, a sorting mechanism that can be overridden. The datastore is pretty simple, accepting Put, Get, and Delete commands along with forward and backward iterations.

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