
ArangoGraph (Managed Service)
Building a connected customer graph has streamlined data relationships and saves development time
What is our primary use case?
My main use case for ArangoGraph is to build a customer graph in order to create a relation between customer and end users. I connect all the user related data together between the orders that they made from the supplier and customers.
What is most valuable?
The user interface is the best feature that ArangoGraph offers. The simplicity of the user interface is very appealing to me. ArangoGraph has positively impacted my organization as we made a 30% saving in order to build this graph. The savings were achieved mostly through time cost.
What needs improvement?
I think that ArangoGraph can be improved.
For how long have I used the solution?
I have been using ArangoGraph for six months.
What other advice do I have?
I advise others looking into using ArangoGraph to speed up the development using all the features that the product provides. I gave this review a rating of 8.
Which deployment model are you using for this solution?
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Flexible, High-Performance Database That's Easy to Use
ArangoDB Delivers the Best All-Around Experience
Flexible and Powerful, But Not Without a Learning Curve
Arango- Great database that serves multiple purposes
User interface is pretty good and it makes it very easy to navigate and analyse also debugging if any issues.
AQL is soo quick to learn and leads Arango to be convenient platform.
Efficient, Scalable, and Developer-Friendly
It was overwhelming to the ArangoDB
Suport for schema-less design tasks using ArangoDB.
The ability to write JSON-first queries using AQL.
Conveniently includes a rich Web UI.
It is equipped with a full-text search engine that is relatively easy to use.
If there were more capabilities for operations on collections and databases, the possibilities would expand.
By leveraging the strengths of document databases and graph databases, it addresses issues such as the lack of a fixed schema and complex relationships, which could become bottlenecks in conventional databases.