Why Graph Database?
Gain insights through networks of data
in this hyper-connected world
We are living in a world where everything is connected — industries, people, information, objects, and even spaces. Stable management of large-scale data has long been the key for success but driving the edge in today’s business environments demands more; it is about getting the knowledge that redefines the concept of competitiveness, hidden for others, and for this, it is critical to extract it from massively-interconnected large-scale data.
The differentiators of business today lie beneath the relationships between connected data but relational databases aren’t effective or designed for handling data relationships, especially when they are added or adjusted on an ad hoc basis. Graph database is designed to deal with exactly this; to provide an intuitive and powerful insight by way of exploring many-to-many relationships that empower data intelligence.
Data model that resembles the real world business model
Fast querying based on the relationship-wise data structure
Flexible data management through schema-less data structure
What is ?
AgensGraph is a fast, reliable graph database management system with high relational compatibility.
AgensGraph is the only multi-model graph database integrated with a relational database (PostgreSQL) and thus enables extraordinary flexibility with proven relational database features, scale and performance for enterprises.
Time to Market
Developing with AgensGraph allows you to accelerate time-to-market where business decision to actualization is critical. AgensGraph should be considered a priority for “agile” teams.
AgensGraph discovers unique insights and gives you the unparalleled value as the number of data relationships increase, thanks to its data structure optimized for network analysis.
AgensGraph allows a new level of responsiveness to your business when your data environment should change — you just add or modify nodes and links to transmute data scheme without a huge effort and time-consuming tasks.