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Neo4j Aura

Neo4j

Reviews from AWS customer

4 AWS reviews

External reviews

135 reviews
from and

External reviews are not included in the AWS star rating for the product.


4-star reviews ( Show all reviews )

    Computer Software

Best graph database

  • October 30, 2020
  • Review provided by G2

What do you like best about the product?
It's very efficient on large datasets to support the multiple relations between the nodes. In addition, it provides very good graphical representation and interactive UI to analyze or present a dataset.
What do you dislike about the product?
Not so easy to configure and when the number of relations grows a lot, the general graph becomes very complex to analyze.
What problems is the product solving and how is that benefiting you?
neo4j helps me to handle a huge volume of data (events) and creates relations between them. In the end, with a connected graph of all events, it helps me a lot to debug some events in my event-driven platform.
Recommendations to others considering the product:
It is the best option for relational problems.


    Lalit S.

Great database solution

  • October 29, 2020
  • Review provided by G2

What do you like best about the product?
Neo4j Database is easy to use scalable and flexible as well. Also it did not take a lot time for me to learn Neo4j. Also I have recommended some of my colleague to use the same.
What do you dislike about the product?
As of first time it took some time to understand as I am a front end developer. But later it was very smooth to use.
What problems is the product solving and how is that benefiting you?
As I am a front end android developer and I am working over some idea. The new database is helping me out with database.
Recommendations to others considering the product:
Yes you can go for it and give it a try


    Danilo P.

Neo4J as a tool for financial fraud detection

  • October 27, 2020
  • Review provided by G2

What do you like best about the product?
We were studying about techniques that allow early detection of potential financial frauds related to credit card theft or fraud customer identity. Without the ambition to decrease popularity of traditional database models in their space of application, Neo4J has found its space and application in specific, increasingly popular world of dynamic environments, such as modern web and social networks.
What do you dislike about the product?
Depending on data volume, it can be hard to visualize data connection. Also, if some information system requires sorting of data, it can be expensive operation.
What problems is the product solving and how is that benefiting you?
We developed prototypes of the application that demonstrates how Neo4J can be useful to detect financial frauds. The benefit lies in capabilty of Neo4J to detect complex real-time data connection.


    Telecommunications

Smart and Reliable NoSQL database

  • October 27, 2020
  • Review provided by G2

What do you like best about the product?
We were able to develop a large enterprise based architecture for a telecommunications giant where the huge data was organized and represented in a graphical manner with Neo4j Queries. The excellent documentation support available led us to learn and implement it in really short duration.
What do you dislike about the product?
No cons or no dislikes about the product as such
What problems is the product solving and how is that benefiting you?
Neo4j queries allowed us to traverse the relation in the quickest manner possible which the traditional SQL queries take to execute multiple joins.
Strong Graphical representation of data using Nodes, links , meta links and components


    Telecommunications

Graph based querying tool

  • October 27, 2020
  • Review provided by G2

What do you like best about the product?
It is very convenient to write a complex query with very ease way.
What do you dislike about the product?
it has less resource for learning. there should be a video series on updates and new learning feature
What problems is the product solving and how is that benefiting you?
I tried to learn from officially website and implemented in one of my project


    Namrata G.

Neo4j ,a perfect fit graph database for creating any kind of social network structure

  • October 23, 2020
  • Review provided by G2

What do you like best about the product?
1)Ease of use
2)Speed of graph traversal
3)Interactive console
What do you dislike about the product?
Sorting is expensive in terms of performance.
Scaling is an issue once the data exceeds certain limits
What problems is the product solving and how is that benefiting you?
We had created a social network for trading wherein traders can follow other traders and chk on their tips and trades.with an option to like .In terms of benefits it is certainly easier to have a graph database like neo4j doing heavy lifting of creating nodes and relationships rather than do it yourself in an rdbms
Recommendations to others considering the product:
If the business problem you are trying to solve, requires some form of complex hierarchies or a social network like structure or any other form of a network with multiple nodes and complex relationships, be sure to check on Neo4j, it will help you reduce the complexity of the model to a very large extent


    Sana R.

Neo4j for ontology based KB generation

  • October 16, 2020
  • Review provided by G2

What do you like best about the product?
I've used neo4j for ontology-based KB generation task. So far, I have found neo4j graph-based data representation to be the best fit for such tasks. Apart from that, neo4j easy to learn and operate with.
What do you dislike about the product?
Neo4j master-slave architecture, writes are always done on master. Overall write-performance issues relative to SQL databases. Garbage collection pauses.
What problems is the product solving and how is that benefiting you?
I've used neo4j for the ontology-based KB generation task. The knowledge base consists of health care data with ontology representation as disease, symptoms, medication, organ/part of body associated etc along with their respective data and their relationship with each other. applying different graph-ml algorithm (like decision trees) on available data in graph to get a good accuracy of diagnosis. This also focuses on Knowledge Validation, Inferencing and Explanation/ Justification process of knowledge Engineering to maintain our healthcare knowledge base. Currently, we do not have CCDA’s available with information of symptom of patients (chief complaint, the reason for visit, etc.). For the time being, we are collecting data from online sources and will use that to symptom-based disease diagnosis.Healthcare KB generation of clinical data using cTAKES NLP and Neo4j.
As name of the project suggests "all men must serve", demo code of the project is available publically in the link. So far, I have found neo4j graph based data representation to be the best fit for such tasks.
Recommendations to others considering the product:
If you think your problem can be solved by graph based data, neo4j is worth a try


    Computer Software

Rich community, robust and scalable

  • October 13, 2020
  • Review provided by G2

What do you like best about the product?
Very good interactive UI. very efficient on large datasets to support the multiple relations between the nodes.
What do you dislike about the product?
Sometimes hard to visualize complex data analyses. Automatic backups could be improved
What problems is the product solving and how is that benefiting you?
IoT device simulation and visualization.


    Computer Software

Neo4J review

  • October 13, 2020
  • Review provided by G2

What do you like best about the product?
I like a lot trying to improve graph language
What do you dislike about the product?
For a moment now all thing that I like a lot
What problems is the product solving and how is that benefiting you?
It's helping to build fast graph databases


    Professional Training & Coaching

Easiest way to find connections in a schema-free database

  • November 08, 2019
  • Review provided by G2

What do you like best about the product?
Finding paths between nodes and doing what sql cannot
What do you dislike about the product?
Import function from csv files; creatina connections with cypher language
What problems is the product solving and how is that benefiting you?
Finding connections between data that where non treatable with traditional sql queries