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GraphLab
Property Graph - Enterprise Knowledge graph - Graph Machine Learning
"By 2025, graph technologies will be used in 80 % of data and analytics innovations, up from 10 % in 2021, facilitating rapid decision making across the organisation." - Gartner ®
Optimise Your Data Architecture
To support your development and optimise the use of your data, both locally and globally, we offer various solutions based on graphs and data connectivity
- Turnkey tool design
- Implementation of graphical architecture, without impact and transparent to your systems
- Merge to your existing environment, relational and non-relational, cloud or on-premise
- Change management
10x to 100x faster performance
Better maintainability of the code
More understanding for man and machine
What is the graph?
Graphs allow to find relationships between data (people, places, things, events and locations, ...) and to quickly answer complex business questions requiring contextual knowledge and an understanding of the nature of the connections between each entity.
The graph-oriented database is a database model capable of managing a lot of interconnected information. It provides an answer to the problems posed by the classic relational database, which quickly reaches its limits in the case of very large and complex data masses.
This places it among the modern database alternatives, which differ from the traditional relational approach and are grouped under the term NoSQL ("Not only SQL").
Why use the graph?
The strength of a database can be measured mainly by four criteria: integrity, performance, efficiency and scaling up.
The main objective of graph-oriented databases is to improve the speed and the simplicity requests.
When relational databases reach their performance limits (e.g. with data volume or the code for many join operations), the graph-based model works very well. agile.
The complexity and quantity of data do not negatively affect the query process in this model.
In addition, real facts can be stored in a natural way with the graph-oriented database model. The structure used is very similar to human thought and therefore makes the links particularly evocative.
Is implementing a graph system expensive?
It all depends on what you are looking for.
The tools and programming interfaces that we use can be grafted onto your specific architecture, cloud or on-premise, and convert your data into graphical form in a way that transparent, without impact, without additional cost.
AUDITING - SAMPLING -PLANNIFICATION
Operating procedure and solutions
Solutions that we are able to adapt to your problems:
- Recruitment and personalised training plans
- Fraud detection
- Customer 360...