1. Enable the creation of new data and services
2. Improved ability to react to change
3. Accelerated development time
have experienced a time when you simply couldn’t undertake certain projects that would benefit your business, because
doing so was prohibitively complicated or even impossible.
Understanding data relationships is also key to understanding dependencies, uncovering cascading impacts, and predicting behavior.
Such insight allows businesses to execute opportunities for new services and products. To identify these opportunities, businesses need tools that show complex connections quickly and easily.
Because of their design, graph databases have become an essential tool for discovering, capturing, and making sense of complex interdependencies and relationships.
Traditional databases were conceived to digitize paper forms and automate well structured business processes, and still have their uses. That said, RDBMSs cannot
model or store data and its relationships without complexity, and performance
degrades with the number and levels of data relationships and data size.
What’s more, adding new types of data and data relationships requires schema redesign that increases time to market.
For these reasons, RDBMSs are inappropriate when data relationships are valuable in real time, and when your product changes often.
The LinkedIn China development team needed to launch a new social
platform — known as Chitu — in record time if it wanted to attract a
meaningful segment of the Chinese professional networking market.
Taking advantage of the tools offered by Neo4j Chitu has become one
of the fastest-growing social networks in China.
The savings (in terms of both time and money) were significant for Chitu after they switched to Neo4j. Leaving MySQL behind allowed the company to forego paying for a full-time database administrator (DBA).
Neo4j is a very powerful system; it can cut your query time to a fifth, and it gives you interesting and insightful analytical capabilities.
The first problem is not all projects lend themselves well to a graph database.
The other problem is few developers know how to think in graphs and harness their power.
Before commiting to spend 52800GBP (6 months*22 days *400 per day) to 152k GBP(at a 1.2k GBP rate per day), i would advise we test 2 assumptions:
Is Neo4j right for your business?
Are the analytical capabilities of graph databases really needed?
Over the course of 5 to 10 working days we will have a look at what your business does, and what insights can be uncovered using Neo4j.
The aim will be to understand what new value can be brought to your product/business in terms of extracting and presenting new knowledge to your end users, increasing your system's flexibility and faster time to market.
I am not usually available for consulting for 2 hours. If you are a customer, you unlock this possibility!