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Graph Database
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September 9, 2016

ThingSpan

ThingSpan can help to find the way out of any graphical trouble that can come across. It is a purpose-built, scalable graph analytics platform that integrates with Apache Spark and HDFS (Hadoof Distributed File System). If the graph is very large and is distributed over a very complex data then ThingSpan can help to navigate the path and follow queries to find the right way. It supports parallel pattern finding and predictive analytics in combination with Spark components such as MLlib, Graph X and Spark SQL. With the help of ThingSpan a single logical view of all the data representation can be achieved. The objects can then be created, read, updated, [...]

12
 
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September 9, 2016

Bitsy

Bitsy is a tiny yet fast, embeddable, high storage DB that implements the Blueprints API. It supports the basic features such as key indices and threaded transactions and efficiently implements positive concurrency controls. It stores the data serial wise using the Jackson JSON Processor. The data can be recovered and chances of losing it due to power failures are null. Online backup is also provided through JMX interface. The main features of Bitsy are very interesting and of course helpful. It follows optimistic concurrency which uses the best practices to retry transactions. Furthermore with the help of Bitsy, algorithms can be written efficiently [...]

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September 9, 2016

HyperGraphDB

HyperGraphDB is an open source data storage mechanism based on the powerful directed hypergraphs. It provides with all the data modelling knowledge and has a lot of memory for large information. It is equipped with N-ary and out of box Java OO database. It offers with customizable indexing and storage management which is essential when working with graphical representation because an unprocessed and complex data constantly needs to be edited and modified. Another powerful feature is the extensible, dynamic database schema through custom typing which gives an altogether different look to the graphs and is fully transactional and multi-threaded so that all [...]

 
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September 9, 2016

AllegroGraph

AllegroGraph uses well-organized memory operations which are basically combined with a lot of disk storage so that maximum efficiency can be achieved. It supports SPARQL, RDFS++ and Prolog reasoning for various client requirements. The most highlighting new feature of AllegroGraph database is the 3D and multidimensional geospatial functionality. The data will not look flat on the screen rather it will have many facets which will provide with the opportunity of explaining the phenomenon in a better way. It is enabled with full and fast recoverability and there’s hardly ever a chance of losing the data. There is also a better WebView query page to answer [...]

9.5
 
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September 9, 2016

GraphBase

GraphBase works like magic when it comes to handling complex data which needs to be converted into arranged form. GraphBase has always been used for handling large unprocessed data because it is the best when it comes to utility, performance and scalability. This graphical database can absolutely convert any data into the most sophisticated graphs ever seen. It has graph focused tools which arrange the data into an external graph and deliver it and then after all the manipulation and processing convert that graph into Java POJOs with a single line of code. With GraphBase perfect graph suitable for a certain kind of data is easily made. It is versatile and [...]

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September 9, 2016

ArangoDB

ArangoDB helps to arrange the data in a very creative and flexible way. The data can be stored as key or value pairs, graphs or documents and all of this can be accessed by just one query language. For safer option more than declarative models can be used in the query. The reason why users can combine different models and their features in one query is because ArangoDB uses the same core and same query language for all the data models. If a new product is being developed then every now and then new ideas are generated and the model requires necessary changes frequently. ArangoDB provides you with the opportunity of staying updated and keeping your product [...]

28.5
 
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September 9, 2016

Aster

Aster is a revolutionary technology which promises to do big data analysis in lighting fast speeds with minimum resource outlays. This highly charged suite for analysis is the best choice for visually stunning and swift representations for SQL, map reduce as well as in detail graphical representations. Its massive parallel design helps to boost performance by carrying out loads, queries, backups, installs etc. in parallel for rapid insight discoveries. Another feature of this award winning analytical suite is that you can couple up multiple analytic engines of your own choice ( SQL-MR, SQL-GR, R and SQL) based on your own preferences. As more powerful [...]

11
 
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September 9, 2016

Oracle Spatial and Graph

Oracle Spatial and Graph is one of the leading graphical databases that are available in the industry at the moment. It supports a wide range of geospatial data and can easily analyze any kind of land management and GIS without much difficulty. It also provides mobile location services, transportation and location-enabled business intelligence. Other services included in the Oracle Spatial and Graph are LiDAR analysis and sales territory management. Coming on to the features, the Oracle Locator which is a cost free feature of Oracle Database Standard and Enterprise Editions provides the user with fast processing, location query and analysis and built-in [...]

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