Vendors » MarkLogic
NoSQL databases have surged in popularity as organizations struggle to serve highly distributed Web applications, but navigating the various types of NoSQL databases and the vendors providing them has proven tricky. Shedding some light on the topic this week with a pair of reports was Forrester Research. The analyst group looked at two types of NoSQL databases in separate Forrester Wave reports, including document-oriented NoSQL databases and key-value NoSQL databases. Graph databases constitute the third type of NoSQL data store Read more…
There is a lot of debate in the big data space about tools and technology, and which ones are best. Is SQL better than NoSQL? Hadoop or Spark? What about R or Python? Of course no single tool or technology is the best for all situations, and you would do well to pick the right tool or technology for the job at hand.
While still in its infancy, the big data technology trend has made a lot of substantial progress since it gained traction at the beginning of this decade. The year 2013 was a big year with advances being made in virtually every quarter of the space. In this feature, we take a look at some of the significant trends that have crossed our desks in the past year — wrapped up and presented to you with a pretty bow. Out with the old, in with the new — it’s the Datanami 2013 Year in Review!
You write a query with great care, and excitedly hit the “enter” button, only to see a bunch of gobbledygook spit out on the screen. MarkLogic says the chances of this happening will decrease thanks to the new RDF Triple Store feature that it formally introduced today with the launch of version 7 of its eponymous NoSQL database.
If big data is a big party, Hadoop would be at the center and be surrounded by Hive, Giraph, YARN, NoSQL, and the other exotic technologies that generate so much excitement. Lurking near the edge would be MarkLogic, a NoSQL database vendor that has one foot in the big data party, and one foot in the mature (and sometimes boring) world of enterprise software.
News In Brief
MongoDB is taking a page out of the MySQL playbook and adopting a new architecture that allows customers to run a variety of different storage engines that are optimized to do specific tasks on its database. The company is also addressing database management concerns with a new OpsManager console in MongoDB 3.0. One of the features that made MySQL so popular a decade ago was its pluggable storage architecture. Depending on the different needs that a customer had–such as processing Read more…
Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to process structured data. My, how times have changed. Last week, Gartner for the first time accepted non-relational technologies–including those based on Hadoop and NoSQL–in its annual Magic Quadrant for Data Warehouses report.
According to the big data number crunchers at Wikibon, spending on big data hardware, software, and services added up to $18.6 billion in 2013. That’s about $500 million, or roughly 3 percent, bigger than it projected the market to be a year ago when it did its last forecast. On a year-over-year basis, actual big data spending grew 58 percent.
This week MarkLogic extended a helping hand to the next generation of data scientists at universities–as well as their faculty guides. The announcement, which provides some compelling ways to create use cases of its platform (not to mention the….
This Just In
MicroStrategy Incorporated, a leading worldwide provider of enterprise software platforms, today announced that it has certified the MarkLogic Enterprise NoSQL database platform to be compatible with, and optimized for, the MicroStrategy Analytics Platform.
Datawatch Corporation, a leading provider of visual data discovery solutions, today announced a new global strategic alliance with MarkLogic Corporation, the leading Enterprise NoSQL database platform. The combination of technologies created by this partnership for the first time enables the value of all enterprise data–including streaming real-time sources–to be exploited. With it, organizations can store, access and visualize massive amounts of data, from any source and in any format, in order to make better informed business decisions and create scalable, new generation applications to drive revenue, streamline operations, and mitigate risk.
MarkLogic Corporation today announced a significant update to its Connector for Hadoop that allows Hadoop applications direct access to data indexed and managed by the MarkLogic Enterprise NoSQL database platform.