Invisible threads are the strongest ties.
What is graph database and why is taking over relational database
Conventional relational databases don’t perform efficiently for complex tasks involving large amount of connected data.
Graph database came to light to fill this gap and replaced the restrictive standard model with flexibility and speed.
This powerful tool is natively able to store, process and query relationships efficiently and excels at managing highly connected data and complex queries, independent of the total dataset size.
Therefore, this kind of database stands behind many projects in several organizations in different industries, such as financial services, government, energy, technology, retail, and manufacturing.
Some use cases of graph database
Considering its capabilities, graph database can be addressed to various complex scenarios:
- Real-time recommendations
Graph-powered recommendation engines enable companies to personalize suggestions about products, content and services by leveraging a multitude of connections in real-time.
- Fraud detection
Real-time analysis of data relationships is essential to uncover frauds and many sophisticated scams.
- Network & IT operation
Graph databases help companies connect several monitoring tools and gain critical insights, within a modern IT network infrastructure.
- Identity & access management
Quickly and effectively track users, assets, relationships and authorizations when using a graph database for identifying and access management.
Our DB graph-based solution
Reforce development team has a deep knowledge of data strategy and database design; thanks to the experience gained on different projects, we got the keys to set an innovative technology exploiting graph database efficiency.
Contact us to speed up performances, we will find a solution together!