Open-source community edition helps to start with Neo4j. Easy install, many tutorials and community blogs. Enterprise edition comes with additional features and professional support.

The native graph database is flexible, scalable and can easily transferred in a cloud instance, if necessary. Good documentation, as well as a big community.

ACID-compliant database.

In addition to the database, a native integration of GraphDataScience algorithms for machine learning, graph embeddings.

The database comes with a visualization, making it easy to start and to provide users with a user interface

Professional services, boot camps and other workshops can be booked.

There are cloud versions available for Google Cloud and AmazonWebServices. Review collected by and hosted on G2.com.

Some of the features are only available for enterprise version including live-backup and role model.

While live-backup can be performed on a running database, for community edition the database has to be stopped. Which is ok for pilots and smaller systems. If you can not allow down time of the database you have to go for enterprise.

The role model can be handeled by an external or additional application layer. Review collected by and hosted on G2.com.

It has dependencies with python, making it more useable Review collected by and hosted on G2.com.

Neo4j query language is some what complex Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

the ease of use is the biggest plus point for Neo4j, also the breakthroughs with data science is something I'm looking forward to learn and understand with Neo4J Review collected by and hosted on G2.com.

I would request the Neo4J team to update the learning portal Review collected by and hosted on G2.com.

Neo4j makes sense. I can interactively work on defining the data model and work with the outcome immediately because Neo4j provides me the tools and training to do so. Review collected by and hosted on G2.com.

The changing branding and features as they move to a cloud-managed database platform has made it challenging to understand what I am licensing for features and support. Having a feature matrix on the website would be a handy item to help me with understanding licensing. Review collected by and hosted on G2.com.

Fast response from support, and active community of users. Being new to graph databases, Neo4j was a great landing place to be introduced to graph databases and get going with real time feedback. Review collected by and hosted on G2.com.

Documentation at times seems to be misleading or outdated. Especially related to causal clustering and running Neo4j on Docker. The restore process on 4.4.x is also a bit ambiguous. Review collected by and hosted on G2.com.

Coming from a traditionally RDBMS background, neo4j and graph databases have opened up new lines of thinking. The tools provided by neo4j make it very easy to get up and running quickly, and the free training programs they offer are second to none. They have well-documented drivers for a variety of popular languages. Review collected by and hosted on G2.com.

I'm not sure I can point to any particular things I dislike. It does require a shift in thinking from traditional RDBMS systems because you have to think more carefully about the problems you are trying to solve and the relationships between your data. Review collected by and hosted on G2.com.

So really like the property container. Modeling relationships between various types and the flexibility. Unlike SQL, Neo4j is able to do much more complicated join queries at scale. Review collected by and hosted on G2.com.

Write performance and locking are the most problematic. The pesimistic locking is very restrictive if that was configurable that would be a huge improvement. Also the clustering is much more the application's responsiblity. Review collected by and hosted on G2.com.

I find it easy and intuitive to import data to Neo4j. I like that it's quick to start working on finding patterns in the graphs with Cypher. Review collected by and hosted on G2.com.

I don't like that Neo4j can't be used without an internet connection. I find that it lacks tools for creating graph compatible data from relational datasets. Review collected by and hosted on G2.com.

It's natural way of presenting the data and the performance improvements it brings. Review collected by and hosted on G2.com.

The cypher language represented a barrier to getting started. Review collected by and hosted on G2.com.