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Neo4j is a graph database management system (GDBMS) developed by Neo4j Inc. The data elements Neo4j stores are nodes , edges connecting them, and attributes of nodes and edges.
Cypher was originally intended to be used with the graph database Neo4j, but was opened up through the openCypher project in October 2015. [ 3 ] The language was designed with the power and capability of SQL (standard query language for the relational database model ) in mind, but Cypher was based on the components and needs of a database built ...
Neo4j: Neo4j: Graph DBMS 3.5.8 Neo4j: 2007 NetBeans: Oracle Corporation: Software development tools (Java, Ruby, Perl, PHP, etc.) 11.1 NetBeans 2000 Odoo: OpenERP S.A. ERP, CMS/Ecommerce 16.0 Odoo 2005 Openbravo: Openbravo ERP 2.33 Openbravo ERP 2001 OpenSearchServer: OpenSearchServer Enterprise Search 1.2 OpenSearchServer 2009 Openshift: Red Hat
Neo4j – a graph database that can build 1D and 2D indexes as B-tree, Quadtree and Hilbert curve directly in the graph; OpenLink Virtuoso has supported SQL/MM since version 6.01.3126, [14] with significant enhancements including GeoSPARQL in Open Source Edition 7.2.6, and in Enterprise Edition 8.2.0 [15] Oracle Spatial
Manual Curation Knowledge Network Miner [ 1 ] ( KnetMiner ) [ 2 ] [ 3 ] is a system of tools used to integrate, search, and visualize biological knowledge graphs (KGs). It is used to search for information across large biological databases and literature to find links between genes , traits , diseases , and other relevant information.
Among the technologies used were the Neo4j graph database management system and Linkurious to search and visualize the data. [68] The data-intensive projects involved not just veteran investigative journalists, but also demanded data journalists and programmers.
OrientDB is an open source NoSQL database management system written in Java.It is a Multi-model database, supporting graph, document and object models, [2] the relationships are managed as in graph databases with direct connections between records.
Raft is a consensus algorithm designed as an alternative to the Paxos family of algorithms. It was meant to be more understandable than Paxos by means of separation of logic, but it is also formally proven safe and offers some additional features. [1]