Leveraging real-time scoring through Big Data to detect insurance fraud
...Through the combined use of Apache Hadoop, the ElasticSearch search engine,and the OrientDB graph-oriented database, we can acquire, link, and index all of a company’s customer information. We use all available data sources – internal (claims, CRM, and portfolio systems) and external (a blacklist to give the company the option both to execute antifraud rules to identify suspicious links and to graphically visualize those connections. In the prototype, more than 60 million documents were indexed and about 15 million relationships appeared in the final network....
How To Install and Use OrientDB on an Ubuntu 12.04 VPS
...You should now have a good idea of how to work with a OrientDB database system. As you can see, it blends many elements from different systems. It keeps SQL select querying syntax, while leveraging traditional NoSQL document storage, and builds graph relational behavior. This has only been a brief introduction meant to introduce you to some of the ways that OrientDB can operate on data. The project's documentation is a great resource for building off of this introduction.
Why OrientDB is important
When developing software it is important to choose the right technologies. With recent projects we have been working with various databases namely MongoDB, RavenDB, Couchbase, Redis and of course the standard MySQL, Postgresql and SQL Server. As if these were not enough, we also are looking at ArangoDB, Neo4j and possibly the biggest innovation since microchip (or sliced bread) called OrientDB.... OrientDB stands to be the most important database on market right now, nothing short of the future of databases...
No More Joins - SilverStripe and OrientDB
There has been something of a database renaissance in recent years, as big data requirements have emerged so have non-relational databases and terms such as "NoSQL", "document" and "graph" scatter the landscape. Earlier this year we decided to invest some time into researching an exciting and innovative database that combines all three terms into an open source product that is currently used in production by large companies and startups alike - OrientDB...
OrientDB: thanks!
Every now and then you come across open source projects that just amazes you. OrientDB is one of these projects. I’ve always assumed that I’d have to use a polyglot persistence model in complex applications. I’d use a graph database if I want to traverse the information, I’d use a document database when I want schema less complex structures, and the list goes on...
A Look at OrientDB: The Graph-Document NoSQL
In this post, I am going to give you a brief introduction to a OrientDB. In later posts in this series, I will take you through using OrientDB with Ruby. You have probably heard of document databases, like MongoDB, and you may have heard of graph databases, like Neo4j. I am willing to bet you have not heard of very many, if any, Graph-Document databases. That’s right. OrientDB touts itself as “The Graph-Document NoSQL.” ...
European startups do it the hard way
During some unfocussed searches I happened across OrientDB which claims to be a document-based database but with support for relationships, which addressed the requirements more fully. Further investigation revealed an entire ecosystem existed for OrientDB, including OrientDB drivers for pretty much every mainstream language and framework...
Exploration of noSQL: OrientDB
We’re heading East for our next examination of a noSQL DBMS. Oddly enough, OrientDB’s roots are not in the orient. The boot-shaped country of Italy is where this noSQL database was born. Before diving in to what makes OrientDB unique, you may want to check out our last trip (featuring MongoDB) and some supporting material that discusses noSQL’s relevance...