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Supported Server Versions
Version Original Release Date Current Release End of Life Date
MarkLogic Server 8.0 February 6, 2015 8.0-3.2 In Circulation
MarkLogic Server 7.0 November 14, 2013 7.0-5.3 In Circulation
MarkLogic Server 6.0 September 12, 2012 6.0-6 June 26, 2016
Latest Updates
More Cowbell Anyone?
Posted by Diane Burley on 28 September 2015 02:27 PM

Where will you be 11:35 pm EST on Saturday, October 3rd? I bet, like me, many of you will be lounging on the couch and laughing while watching the premiere of the 41st season of Saturday Night Live (SNL).

To get ready, I’m getting reacquainted with the fun and smart application NBC created on MarkLogic. But let me take off my MarkLogic expert hat and put on the hat of the die-hard app fan that I am.

If you haven’t downloaded the free app you owe it to yourself to do so. Once you choose your opening era — the predictive engine, powered by MarkLogic semantics, kicks in. I chose the late 80s and immediately I could browse through the terrific skits, characters and musical performances. Hanz & Franz? Not so intrigued. But with a flick there was the Church Lady. Yes! This was great. And as I learned the app – the app learned me. Suggesting: Deep Thoughts, Phil Hartman, Simon & Garfunkel, Alec Baldwin, Soundgarden and all the memorable episodes that have kept me faithful over the years. Decades since I first watched it — SNL had me again.

NBC has touched me (and my colleagues) on a professional level, but more importantly with its predictive engine on a personal level as a fan. That’s really the goal of every integration project – touching your customer in a meaningful way. Keeping them engaged, loyal and wanting more. This fan is sold. And I’m not alone — the app received not one but two Emmy nominations!

Read Gizmodo Article


More Cowbell Anyone? from MarkLogic.

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Four Ways to Regroup After Implementing Hadoop
Posted by Jim Clark on 24 September 2015 05:41 PM

“Thru 2018, 70 percent of Hadoop deployments will not meet cost savings and revenue generation objectives due to skills and integration challenges.” 

– Nick Heudecker, Gartner Analyst

A Gartner research report on Apache Hadoop found that 46 percent of companies surveyed plan Hadoop investments, marking a slow but steady adoption. However, there are still questions about achieving optimal value with Hadoop. Additionally, critical enterprise features – such as ACID compliance, reliability and disaster recovery – take decades to solidify and are not found in the Hadoop stack.

Fortunately, MarkLogic enhances the value of the data in Hadoop by making it accessible and operational. With our scale-out architecture and the only database that combines the flexibility of NoSQL with enterprise-hardened features such as ACID transactions and government-grade security – MarkLogic is the ideal database for Hadoop.

Use it to:

  1. Run Real-time Enterprise Applications with Hadoop Data
    The Hadoop Distributed File System (HDFS) is a cost-effective file system but lacks enterprise-grade capabilities and features such as indexing. A database is required to handle this workload and MarkLogic is ideal as it uniquely provides the mature power capabilities of relational databases (indexes, transactions, security and enterprise operations) with the flexibility and scalability found within open source NoSQL databases.
  2. Manage Data with Cost-Effective Tiered Storage
    MarkLogic helps Hadoop users segregate data, store it according to its value and make it available as needed. HDFS stores data in a cost-effective manner but it’s not designed for real-time data access that requires indexes and interactive query capabilities. MarkLogic leverages HDFS within a tiered storage model, seamlessly moving data between any combination of HDFS, S3, SSD, SAN, NAS, or local disk—all without having to alter code, saving companies on costly and complex ETL and data duplication processes. Companies are ensured of ACID compliance as data is moved during online operations, and MarkLogic also aids in data governance and provisioning challenges.
  3. Make Hadoop a Compute Layer
    The MarkLogic Connector for Hadoop provides direct access to a MapReduce job in order to efficiently read all of the data in a MarkLogic file. This means consistent data views and jobs can be conducted in minutes versus hours.
  4. Complement the Hortonworks Data Platform (HDP) and Cloudera
    MarkLogic is certified on the Hortonworks Data Platform (HDP) and Cloudera Distribution for Hadoop (CDH).

MarkLogic helps customers build real-time enterprise applications, leverage infrastructure investments to save time and money, improve data governance, and affordably run a mix of analytical and operational workloads based on Hadoop data.

Learn how to maximize the value of your Hadoop investment – see us at Strata+Hadoop World in Booth #732.

For more information, be sure to watch the Video: Making Hadoop Better with MarkLogic.


– Quote from Nick Heudecker via Twitter

Four Ways to Regroup After Implementing Hadoop from MarkLogic.

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