Big Data Technology, Semantics and Analytics
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Big Data Technology, Semantics and Analytics
Trends, success and applications for big data including the use of semantic technology
Curated by Tony Agresta
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Updated Database Landscape map – June 2013 — Too much information

Updated Database Landscape map – June 2013 — Too much information | Big Data Technology, Semantics and Analytics |
Tony Agresta's insight:

MarkLogic is uniquely positioned on this database landscape map.    Here's what makes the position very different from other vendors:

1.  Search - MarkLogic is directly connected to all the major enterprise search vendors.   Recent recognition of this was confirmed by Gartner in its Enterprise Search Magic Quadrant.   Notice that other NoSQL technologies are nowhere close to this connection point.

2.  General Purpose - MarkLogic provides an enterprise NoSQL database and Application Services and Search.   With support for many development languages, REST and JAVA APIs, MarkLogic has clear links to SAP, Enterprise DB and a host of other database providers.

3.   Graph and Document - MarkLogic has long been recognized as a document store and used widely all over the world for this purpose.  Notice the subtle connection to Graph as well connecting MarkLogic to other vendors in this space like Neo4J.  MarkLogic 7 promises to deliver a world class triple store to index subjects, predicates and objects in XML documents or load other triples through the MarkLogic Content Pump.  For the first time, the only Enterprise NoSQL technology with search will include semantics.  Updated APIs and support for SPARQL are part of this release.

4.  Big Tables - MarkLogic's ability to handle big data has long been known.  The olive green line is designated for vendors like MarkLogic, Cassandra, HBASE, etc.   MarkLogic's partnership with Intel for Distribution of Apache Hadoop and the fact that MarkLogic ships with Hadoop connectors provide additional confirmation for this position.

5.   Key Value Stores - Data can be stored as keys without a database schema required lby relational databases.  In MarkLogic's case, huge quantities of data can be indexed in real time with data stored in memory and disk making search results instant and complete.   After a recent analysis of over 50+ MarkLogic customers, the abilty to quickly get up and running and deliver new information products to market was a business driver they mentioned over and over again.

The fact is, no one else on the list has all of these qualities.   Because of this unique position, visually you see MarkLogic distanced from other clusters or long lists of technology vendors.  

To learn more, you can go to MarkLogic Resources.

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Giving big data publishing the royal treatment

Giving big data publishing the royal treatment | Big Data Technology, Semantics and Analytics |
U.K. royal society jumps into 21st century with the MarkLogic NoSQL database, opening 170 years of content to public view
Tony Agresta's insight:


A NoSQL database from MarkLogic provides the Royal Society of Chemistry (RSC) with the ability to unlock a treasure trove of assets.  Now the RSC can publish three times as many journals and four times as many articles. It also gave the Society the ability to develop new educational applications to make chemistry accessible to a wider audience.


Modern approaches to information products replete with full text search have the power to transform your business.  Built on an enterprise hardened NoSQL database that can ingest data in real time using a "schemaless" design, they provide a brilliant user experience displaying search results, allowing users to filter, save searches and more.


Unstructured data assets hidden in the recesses as dark data can be consolidated with new forms of data streaming from the internet.


"The accumulated content includes more than 1 million images, millions of science data files, and hundreds of thousands of articles from more than 200,000 authors. On top of that, add the recent capture of social media, video, and other digital content."   


This reminds me of another application built on MarkLogic called AuthorMapper from Springer Media. Using geospatial search, users can zoom into countries, identify articles of interest, read the abstracts, search by date range, apply full text search and more - all within a durable, reliable enterprise NoSQL platform that offers real time alerts in a scale out environment.  Can MongoDB do this?   No they can't.


New Information products like these can be brought to market quickly since developers can built them with Java, Rest and other common languages.   Extending them to include interactive analytics in the form of data visualization is built into MarkLogic.  Don't be fooled by NoSQL pretenders only to discover you need to write hundreds of thousands of lines of code. 


You can watch a video of the RSC at under the Customers tab.  Click on videos and it’s in the lower right.  You can experiment with the Springer application at





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