Neo4j Aura
Neo4jExternal reviews
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Using neo4j in academic and commercial settings
What do you like best about the product?
I have tended to work with ontology data over the years. This data does not lend itself to RDBMS. Neo4j provides an excellent resource for storing the data, querying, and building applications on top of ontology data. I have used the community edition while working in academia with much success. There is just enough information on the web to get something up and running without direct sales support. I have moved to a commercial setting recently. We are exploring how to use neo4j to add an important element to our query engine.
What do you dislike about the product?
There seems to be a lot of pain involved in upgrading the neo4j system between versions (ex: 4.1->4.2->4.3). The upgrade path is brittle and very error prone. Simplifying this process is very important. I do not think the upgrade path should necessarily allow users to "skip" versions as part of the upgrade, but I think some of the steps could be automated.
What problems is the product solving and how is that benefiting you?
I want to build a graph of biological relationships (ex: genes, proteins, etc.) on top of flat file data from our clients. The goal is to augment their biological data with publicly available data to provide comprehensive insights into their data.
Great database, but there are still some issues
What do you like best about the product?
Neo4j has an opensoruce version. Support is good and the community around this database is pretty big. Cypher QL is easy to learn and use. Neo4j browser is user-friendly and has a lot of setting for both new and experienced customers.
What do you dislike about the product?
There are still some annoying bugs, like queries that can't be terminated by the kill command, in one of the recent versions I couldn't have more than 1 tabs open at the same time, etc.....
What problems is the product solving and how is that benefiting you?
I'm using Neo4j at work to store information about product catalog items and their relationships. We've got millions of nodes and hundreds of millions of relationships in our catalog, and Neo4j has proven its ability to easily handle it.
Best-In-Class Graph Database With a Gentle Learning Curve
What do you like best about the product?
I have been working with Neo4j professionally since 2020, primarily for the construction of knowledge graphs for regulatory reporting. Lots of things to like about the platform:
* Plenty of quickstart tools - particularly the Bloom browser, the desktop client, and Python tutorials make it easy to pick up as your first graph DB. It's a very accessible tool.
* Rich connector ecosystem for APIs, data sources, and data science capabilities.
* Speed of execution (vs. solving the same problem in a relational database).
* Plenty of quickstart tools - particularly the Bloom browser, the desktop client, and Python tutorials make it easy to pick up as your first graph DB. It's a very accessible tool.
* Rich connector ecosystem for APIs, data sources, and data science capabilities.
* Speed of execution (vs. solving the same problem in a relational database).
What do you dislike about the product?
Not many negatives here. The managed offering (Aura) could be a bit more backward-compatible - as it stands, it is VERY forward-looking and as a result, it does not support older Neo4j versions (==3.x) or the bolt:// protocol. It would be good to see Neo4j 3.x on Aura, as this is the version that a popular OSS data catalog tool (Amundsen) requires.
What problems is the product solving and how is that benefiting you?
Knowledge graphs - specifically, uncovering relationships between regulatory requirements/questions that are being asked by Environmental, Social, and Governance (ESG) regulatory bodies.
Ideally suited to solve previously hard problems
What do you like best about the product?
PRoblems that previously required using a graph library and had to be executed in memory are now much easier for us to solve in our Java application. These are in the domain areas of risk analysis and compliance.
What do you dislike about the product?
Some essential features missing from community edition. Aura DB free has a low memory ceiling of 250MB that makes it necessary to upgrade even for basic data loading fairly soon. While I understand that you need to incentivize people to upgrade to Enterprise and/or paid Aura tiers, these are limiting community adoption IMHO.
What problems is the product solving and how is that benefiting you?
Information security risk analysis: inheritance of potential impact levels and probability and risk calculation in a dependency graph of components. Mappings between different cybersecurity standards for compliance reports. Also saving audit trails in a temporal graph that allows what-if analysis and rollback to previous versions of relevant entities the transactional database.
The best graph data database out there!
What do you like best about the product?
This is a feature-rich tool with intuition and very easy to use UI, support for REST API, Easy Query execution, Great Visualization Capabilites and by far the best is the Community Support for the free version
What do you dislike about the product?
Library Support for only Java, issues with other language libraries in documentation, Doesn't support Open Source APIs like Blueprint, work needs to be done on its Visualization Capabilities
What problems is the product solving and how is that benefiting you?
Neo4j is best employed for the storage of data which is very feasible to model as graphs viz think nodes, edges, etc. It enables the creation of objects with multiple characteristics and traits. It offers a suitable processing speed that allows running an entire web application by searching and mapping to the graph itself.
This is the best tool for data that can be mapped to a graph. We employed this framework for the cloud solution at our firm, which helps companies digitally transform their supply chains,
This is the best tool for data that can be mapped to a graph. We employed this framework for the cloud solution at our firm, which helps companies digitally transform their supply chains,
Recommendations to others considering the product:
It is well suited for anyone handling interconnected and complex data.
Graph Database used for solving retail problems
What do you like best about the product?
Cypher Query language has built in procedures like APOC, which has very neccessary set of functions which makes life easier while interpreting data.
Ability to import data into Neo4j using CSV is something which makes things simpler.
Ability to import data into Neo4j using CSV is something which makes things simpler.
What do you dislike about the product?
Neo4j Aura doesnt support exporting query results to CSV . One cannot change connfiguraton in Neo4j Aura.
What problems is the product solving and how is that benefiting you?
Solving retails problems like mapping products to brands, category and fetch similar products using Cypher . Product reccomendations is another feature which is using Neo4j as the database.
Tired of a Complex relation Database? No worry use Neo4j for this with impressive UI
What do you like best about the product?
-In our system, many joins are required and which is complex to control in our database but In Neo4j it's very easy, Neo4j is Highly Performance Read and Write with good UI.
- Fast data retrieve with impressive UI.
- Fast data retrieve with impressive UI.
What do you dislike about the product?
When we have a large number of data required more RAM and CPU.
It has a limitation of supporting number of Nodes, Relationships and Properties.
For the new user query syntax in weird.
It has a limitation of supporting number of Nodes, Relationships and Properties.
For the new user query syntax in weird.
What problems is the product solving and how is that benefiting you?
I am a software engineer and when I want to explain anything about my project, a graph is the best solution for this. Using the graph people understand the project and neo4j are best for this. I personally suggest neo4j for the graph database user.
Neo4J a good option for organizations as a NoSQL DB mainly in complex scenarios.
What do you like best about the product?
1. Interesting to explore because we see objects, shapes here.
2.Index-free adjacency shortens read time and gets even better as data complexity grows.
3. Easy to learn.
4.Cypher is easy to learn.
2.Index-free adjacency shortens read time and gets even better as data complexity grows.
3. Easy to learn.
4.Cypher is easy to learn.
What do you dislike about the product?
it has a limitation of supporting number of Nodes, Relationships and Properties.
It does not support Sharding.
It does not support Sharding.
What problems is the product solving and how is that benefiting you?
Problems:
1. We need a better solution for handling a solution where we have lots of objects with many relationships.
2. It should be easy to learn and implement.
3. should support all DBMS features.
benefits :
Neo4J satisfied all our requirements.
we are still doing research in It and we have proposed this DB to our clients too.
1. We need a better solution for handling a solution where we have lots of objects with many relationships.
2. It should be easy to learn and implement.
3. should support all DBMS features.
benefits :
Neo4J satisfied all our requirements.
we are still doing research in It and we have proposed this DB to our clients too.
Complex relation DB ? No worry Neo4j is Here with impressive UI
What do you like best about the product?
- I use one database which have too many complex join which system required but Neo4j is Highly Performance Read and Write with good UI.
- Fast data retrieve with impressive UI.
- Fast data retrieve with impressive UI.
What do you dislike about the product?
Required more RAM and CPU sometime while we have large number of data
What problems is the product solving and how is that benefiting you?
If I were to explain any IT project and design in more depth, I’d draw a graph – that’s how people understand IT infrastructure and neo4j is good graph db
I am mathematician (MSc) who is currently working as backend software engineer and data scientist.
What do you like best about the product?
It has GUI which is easy to use and is really easy to start working on something (or see if it fits your needs). Also, there is good documentation and decent number of professionals who are using Neo4j.
What do you dislike about the product?
I didn't find anything that I would dislike but it is probably because I didn't go into depth of all functionalities.
What problems is the product solving and how is that benefiting you?
I was using it only for analytic purposes and graphical representation of my data (users and content).
Recommendations to others considering the product:
It is really easy to use and try. Try it online, import some data and you will be amazed how much information you can get from graph visualization.
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