WHY YOU SHOULD LEARN GRAPH DB
Graph Database is gaining its popularity quiet rapidly and it is considered as one of the biggest innovations to emerge from NoSQL.A graph database is an online database management system with Create, Read, Update and Delete (CRUD) operations working on a graph model. Graph DBs are developed to derive insights from huge quantities of interconnected data. The key difference is its focus on relationships between data objects.
Graph DB is gaining popularity over a period. Some of the key reasons for its popularity are
- Its ability to store relationships between highly connected data points which is important generate right insights
- It is simpler and more expressive than conventional relational DB or NoSQL DB
- Performance is better when it comes to relationship queries. It does not impact with increase in number of relationships or depth of it
- Structure and schema are highly flexible which can accommodate any changes / modifications in applications or functionality much easily
- Developing with graphDB can perfectly fit into today’s agile, test-driven development practices. It enables frictionless development and graceful system maintenance.
USE CASES
- Customer views analysis
- Supply Chain Optimisation
- Enables AI.ML in predictive analytics, Fraud Detection, Risk management etc
- Social Networks
- Real-time recommendation engines
- Master data management
- Network and IT Operations
- Identity and access management
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