MongoDB 2.6: Our Biggest Release Ever

MongoDB 2.6: Our Biggest Release Ever In the five years since the initial release of MongoDB, and after hundreds of thousands of deployments, we have learned a lot. The time has come to take everything we have learned and create a basis for continued innovation over the next ten years. Today I’m pleased to announce that, with the release of MongoDB 2.6, we have achieved that goal. With comprehensive core server enhancements, a groundbreaking new automation tool, and critical enterprise features, MongoDB 2.6 is by far our biggest release ever. You’ll see the benefits in better performance and new innovations. We re-wrote the entire query execution engine to improve scalability, and took our first step in building a sophisticated query planner by introducing index intersection. We’ve made the codebase easier to maintain, and made it easier to implement new features. Finally, MongoDB 2.6 lays the foundation for massive improvements to concurrency in MongoDB 2.8, including document-level locking. From the very beginning, MongoDB has offered developers a simple and elegant way to manage their data. Now we’re bringing that same simplicity and elegance to managing MongoDB. MongoDB Management Service (MMS), which already provides 35,000 MongoDB customers with monitoring and alerting, now provides backup and point-in-time restore functionality, in the cloud and on-premises. We are also announcing a game-changing feature coming later this year: automation, also with hosted and on-premises options. Automation will allow you to provision and manage MongoDB replica sets and sharded clusters via a simple yet sophisticated interface. MongoDB 2.6 brings security, integration and analytics enhancements to ease deployment in enterprise environments. LDAP, x.509 and Kerberos authentication are critical enhancements for organizations that require a single authentication mechanism across their entire infrastructure. To enhance security, MongoDB 2.6 implements TLS encryption, user-defined roles, auditing and field-level redaction, a critical building block for trusted systems. IBM Guardium also now offers integration with MongoDB, providing more extensive auditing abilities. These are only a few of the key improvements; read the full official release notes (http://docs.mongodb.org/master/release-notes/2.6/) for more details. MongoDB 2.6 was a major endeavor and bringing it to fruition required hard work and coordination across a rapidly growing team. Over the past few years we have built and invested in that team, and I can proudly say we have the experience, drive and determination to deliver on this and future releases. There is much still to be done, and with MongoDB 2.6, we have a foundation for the next decade of database innovation. Regards, Eliot Horowitz, CTO and Co-Founder Join us on April 17th for a webinar on What's New in MongoDB 2.6
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Thriving in the Big Data Era

Join us for a five-part webinar series and learn how to harness the power of Big Data. Despite the hype, Big Data is more than just a buzzword. Big Data is enabling organizations to create new products, to outpace their competitors and to save tens of millions of dollars. See how you can take advantage of this emerging trend to benefit your business as well. Episodes include: Part 1: Build Apps You Couldn’t Build Before (July 16th) Part 2: Adapt in a Competitive Market (July 23rd) Part 3: Make Customers Happy (July 30th) Part 4: Save Money (August 6th) Part 5: Considerations for Decision Makers (August 13th) 10gen is the company behind MongoDB, the leading NoSQL database. MongoDB is reinventing data management and powering big data. For more information on MongoDB, including free whitepapers, demos, additional webinars and more, visit 10gen.com. To contact a 10gen representative, please visit http://www.10gen.com/contact. Regards, The 10gen Team     10gen is the company behind MongoDB, the leading NoSQL database. We're here to help — contact us with questions!

NoSQL DB comparison

Cassandra vs MongoDB vs CouchDB vs Redis vs Riak vs HBase vs Couchbase vs Neo4j vs Hypertable vs ElasticSearch vs Accumulo vs VoltDB vs Scalaris comparison

 

(Yes it's a long title, since people kept asking me to write about this and that too :) I do when it has a point.)
While SQL databases are insanely useful tools, their monopoly in the last decades is coming to an end. And it's just time: I can't even count the things that were forced into relational databases, but never really fitted them. (That being said, relational databases will always be the best for the stuff that has relations.)
But, the differences between NoSQL databases are much bigger than ever was between one SQL database and another. This means that it is a bigger responsibility on software architects to choose the appropriate one for a project right at the beginning.
In this light, here is a comparison of Cassandra, Mongodb, CouchDB, Redis, Riak, Couchbase (ex-Membase), Hypertable, ElasticSearch, Accumulo, VoltDB, Kyoto Tycoon, Scalaris, Neo4j and HBase: