In fact, they were already introduced 20 years ago, in the early 2000s. The graph is the element that links together the data in “relationships”, and then retrieves them, from nodes, edges, and properties. What is a Graph Database?Ī graph database (sometimes referred to as GDB or GraphDB) is a database that uses graph structures to represent and store data, enabling semantic queries of the data points. This blog post will compare the four graph databases that we tried: AWS Neptune, Neo4J, ArangoDB and RedisGraph, and explain why we eventually chose ArangoDB for our needs.īut first, let’s understand what a Graph Database is. In the process, we experimented with several graph databases, until we found the one that fit us the most. We needed these capabilities for our own internal use and also as a solution for giving our customers a flexible way to query their data. Here at Cycode, we were searching for a graph database to organize our data and to enable complex detections and insights. In traditional relational SQL databases, this would be typically modelled as a large number of tables. Such databases excel at querying data that is related to each other via a long chain of connections. ReGraph provides a fully-documented API of functionality including real-time, dynamic and geospatial network support.Ĭambridge Intelligence works with hundreds of customers, including start-ups, Fortune 500 companies and national governments.Graph databases are a kind of database that uses graph structure for semantic queries on nodes and edges, as well as properties to model and persist data. It is used as a graph data visualization toolkit for React developers. Ĭambridge-Intelligence works with hundreds of customers, including start-ups, Fortune 500 companies and national governments.Who are the main user groups of this service?
#ARANGODB VISUALIZATION SOFTWARE#
It is used as a Software Development Kit (SDK) for network visualization.
Integrations: neo4j, Datastax, IBM Graph, Titan, JanusGraph, ArangoDB, Elastic, OrientDB, Cayley, InfiniteGraph, Postgre SQL, React, AngularJS. KeyLines provides a fully-documented API of functionality including real-time, dynamic and geospatial network support.ĭoes this service integrate with any other apps? What platforms does this service support? It is commonly used in tandem with data storage and querying applications. What are some applications this service is commonly used in tandem with? Support: Videos, Email Support, Phone Support.ĭoes this service offer multi-user capability (e.g. WebGL and HTML5 Canvas Graphics Renderingĭoes this service offer guides, tutorials and or customer support? It’s a completely flexible way to build a custom graph visualization application in React. It works in any browser, on any device, and integrates readily with any server or database. You can choose where your data is stored, and how the component looks and behaves. It has familiar logic, easy state handling and well-documented props. Applications built with ReGraph offer new ways to join the dots in your data, revealing threats and hidden insight.įor React developers, ReGraph offers a simple and clean coding experience. The best way to understand it is to visualize it. It’s in financial transactions, communications records, IT networks and beyond.
#ARANGODB VISUALIZATION CODE#
They harness HTML5 and WebGL graphics rendering and thoughtfully crafted code to give users a fast and insightful visualization experience.Ĭonnected data is all around us. KeyLines makes it easy to build high-performance graph visualization applications that work anywhere. Combined with our developer support, you’ll be uncovering graph insight in no time. It comes with step-by-step tutorials, interactive demos and a clearly documented API. It fits with any browser, device, server or database.
The KeyLines toolkit lets you design applications specifically for your users, your data and the questions you need to answer. Applications built with KeyLines offer new ways to join the dots in your data, revealing threats and hidden insight.
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