In computing, a graph database (GDB) is a database that uses graph structures for semantic queries with nodes, edges and properties to represent and store data. A key concept of the system is the graph (or edge or relationship), which directly relates data items in the store. The relationships allow data in the store to be linked together directly, and in many cases retrieved with one operation.
Graph database management system is a platform for an online database management system that Create, Read, Update, and Delete (CRUD) methods. The systems are generally built to be used in transactional systems. Graph databases are a mainstream technology especially in the data management for enterprises, which finds applications in numerous industries and sectors. The graph database technology offers several advantages for overcoming problems faced while analyzing large and complex data while compared to other database solutions. These benefits and systems have ability for scaling and handling naturally large data sets.
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Top key Vendors:
IBM, Microsoft, Oracle, AWS, Neo4j, Orientdb, Teradata, Tibco Software, Franz, OpenLink Software, Marklogic, Tigergraph, MongoDB, Cray, Datastax, Ontotext, Stardog, Arangodb, Sparcity Technologies, Bitnine, Objectivity, Cambridge Semantics, Fluree, Blazegraph, Memgraph
Graph database tools has key role in the healthcare and life sciences sectors for recording patients information and to discharge to numerous patients or healthcare providers. Healthcare-focused startups are leveraging the graph database technology in order to fulfill the unmet needs of the customers. Healthcare organizations and institutions are using graph database tools to improve and enhance the safety, operational efficiency, reduce costs, and improvise the quality of patient care. These factors are propelling adoption of graph database and likely to boost growth of the global graph database market.
Different profiles of the leading companies are analyzed to get in-depth information about various outlooks such as revenue shares, services, and strategies of the companies. In addition to this, it uses different graphical presentation techniques while curating the report.
Finally, it focuses on the limitations of the Graph Database market, which gives a clear understanding of threats in front of the businesses.
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Table Of Content:
Chapter 1 Industry Overview of Graph Database
Chapter 2 Manufacturing Cost Structure Analysis of Graph Database
Chapter 3 Technical Data and Manufacturing Plants Analysis of Graph Database
Chapter 4 Global Graph Database Overall Market Overview
Chapter 5 Graph Database Regional Market Analysis
Chapter 6 Major Manufacturers Analysis of Graph Database
Chapter 7 Development Trend of Analysis of Graph Database Market
Chapter 8 Graph Database Marketing Type Analysis
Chapter 9 Conclusion of the Global Graph Database Market Professional Survey Report 2019