Back in July we launched the Objectivity Global Certification Program to help educate companies around the world about the power of the graph database in Big Data analytics and the differences between InfiniteGraph the only commercial distributed graph database or what we call DGDB. All around the world we are seeing a movement to move beyond Big Data management to analytics. But simple Business Intelligence solutions today cannot handle the type of deep real-time analysis needed. In addition, analysis has gone beyond single server to distributed architectures. We are educating our partners so they can help their clients do more with their data than ever before. And the program is growing quickly with partners that have deep history and expertise with data management all over the world. Below are some of our program’s first graduates that can help you make the most out of your Big Data investment:
Nextgen Distribution – nextgendistribution.com.au
King ICT – Croatia – www.king-ict.hr
Austria, Germany, Switzerland
Business Software Solutons GMBH – www.b-s-s.de
HM Informatik AG- www.hm-ag.de
Europe, Africa, Middle East
Minx Software – Germany – www.minx-soft.de
Engineering Software Labs – Israel – www.eswlab.com
Interested in joining our certification program visit our link for more information and contact us! : https://objectivity.com/resources/certification-programs
With so many new technologies, solutions, and projects sprouting daily, the graph database market is a bit like the wild, wild west. Even with our 24 years of experience in the NoSQL database and Big Data space, we still have a hard time keeping track of it all. To combat the confusion in the market, and to educate our clients and prospects, we drafted a graph database comparison chart last year based on publicly available project/company and reference websites like Wikipedia, to explore the many different options and features within graph databases today.
We have since developed a publicly editable version of this graph database comparison chart located at http://en.wikipedia.org/wiki/Graph_database and invite all community experts in graph database technologies to assist in maintaining the chart with the latest updates on features, benefits and new technologies. We hope this will become a valuable, unbiased, reference to anyone looking for information on understanding and deploying a graph database solution.
While the world may have been disappointed Facebook didn’t announce a phone, InfiniteGraph is head over heels about the Graph Search announcement. Over the years our Objectivity teams have had several conversations with companies like Facebook, Ebay and LinkedIn about the power of the graph database and leveraging the graph to recognize opportunities in Big Data. We have shown our customers that InfiniteGraph can go beyond 7 degrees of relationships to enable complex, distributed, customized searches within Big Data, farther than most solutions can go today. Heck, a year ago, we even showed you how to build your own Facebook graph search free! “Get started w/ our free FB sample @ http://ow.ly/gQsn9”. … But the gold is in this line here: “The graph we’re talking about includes a billion people, 240 billion photos, and 1 trillion connections” Zuckerberg said according to Venturebeat . InfiniteGraph is already analyzing connections between petabytes and exabytes of data in real-time. Objectivity’s solutions are able to analyze up to the equivalent of the Library of Congress in hours.
It’s Time for the Graph to Get Serious
A light has been shed on the power of the graph to move the Big Data space beyond management and slow analysis. We have long known of the graph databases’ ability to manage larger volumes of complex data and provide real-time insight that is truly important – the discovery and understanding of the connections between people, places and content within data. And while InfiniteGraph recognized exponential sales and growth in 2012, with this single announcement the graph database just became a household name overnight.
Now it’s time for this space to make accessing the graph simple for the world by establishing a single graph language that can help customers and the graph reach its true potential. So graph database companies, are you ready? Then let’s talk.