Neo4j Graph Database Reviews & Product Details

What I like best about Neo4j is how naturally it models complex relationships, especially for an application like ours that stores interconnected data about arts, artists, places, countries and other entities. In a graph database, nodes represent entities (like artists or artworks) and relationships (like "created" or "exhibited") allow for a highly intuitive representation of how these elements connect.

This makes querying for complex patterns, like finding all artists who influenced a particular art movement or tracing the exhibitions of a certain artwork across different places, efficient and straightforward.

What are the main points that like it more about:

- That Neo4j optimizes queries for traversing relationships, such as "What art pieces were created by artists in a specific location?" which make the response faster than in traditional relational databases.

- We like that you can easily expand the graph with new relationships or attributes as your dataset grows.

- Also, we can search deeper in our data, finding more meaningful connections between our historical data, like trends in art styles or how artists influenced each other across regions, or the several relationship of multiple artist for a specific location or art

The flexibility and performance of graph-based queries really shine when dealing with highly relational data, like historical and cultural information. Review collected by and hosted on G2.com.

While the Neo4j offers more positive advantages than disadvantages, but for our case specifically about our history app, there are a few challenges or limitations that might be points of concern, which can be improved:

- First big issue was about the restoring the old data from a different version of the database. Neo4j’s backup and restore processes are more complex compared to traditional relational databases. Maintaining backups for our history app can be a bit challenging, especially with the extensive and interconnected historical data which we are managing. As our dataset grows, ensuring that all this valuable information is securely backed up can require careful planning and additional effort.

- Different query language than traditional ones. Neo4j uses Cypher, which is different than traditional and may require time to learn especially if you're coming from a SQL background like I did. For more complex queries involving relationships between artists, artworks, places, and tags, Cypher syntax can become difficult to manage, especially as the graph structure grows more intricate, you need to optimize the query to not allow a lot of memory time in the whole process results

- Also, one more thing that we find of is importing data into Neo4j, especially from structured sources like Wiki pages, can be more complex than with traditional relational databases. The data needs to be transformed into a graph-friendly format, which can add a layer of complexity when dealing with large-scale imports or frequent updates from sources like Wiki. Review collected by and hosted on G2.com.

the cypher syntax of neo4j is really great for beginners, it is as similar as human communicating with db in english langauage. it's just that we have to express in a correct manner for e.g if i want to retrieve all the persons with a gender male it's cypher syntax will be

Match (p: Person { Gender:"Male"} ) return p )

Neo4j's Browser and Bloom feature gives business stakeholder and data scientist/analyst to analyze their data which i think currently no other database give at this moment

and on top of that they have their own graph data science library which gives feasibility in developing application such as link prediction, recommendation system, chatbots Review collected by and hosted on G2.com.

I think they should add more compute storage for Aura DB, as our system can load 100s of GB data in neo4j , but currently i dont see any option for Review collected by and hosted on G2.com.

I have been using neo4j from last 6 month everyday for developing machine learning and data analysis products. it is really faster than RDBMS and helps in developing products such as market basket analysis, community detection and also for generative ai solutions for creating owr own chatbots. Learning neo4j is quite easy due to its documentation and community support available, It has support for multiple languages such as python, java etc. i personally use neo4j python library because it helps me in integrating with my existing machine learning product. I think every data science professional should be aware of neo4j and its power to create a scalable ML products. Review collected by and hosted on G2.com.

one thing i think which needs to be improved is adding more sql like features in CYPHER query Review collected by and hosted on G2.com.

The ease of creating graph and graph visualisation using neo4j platform Review collected by and hosted on G2.com.

The neo4j graph query language is tough for first timer Review collected by and hosted on G2.com.

The Cypher language allows you to construct queries that are understandable even without technical expertise.

Open source and community edition that can be self-hosted.

Neo4j Browser to visualize graph data. Review collected by and hosted on G2.com.

For a self-hosted solution, the update process is not always straightforward. Review collected by and hosted on G2.com.

The best thing about Neo4j is it is graph database and it has nodes and relationship which makes it simple. It is easy to use. And also it is schema free. Index-free adjacency helps a lot when the data is very complex Review collected by and hosted on G2.com.

Cypher language is specific to Neo4j only. Review collected by and hosted on G2.com.

Neo4j is a great platform for the new user to learn the commands it is very interesting, and we can see the command along with its results. we can see the result in multiple ways like in graph format, table, text or code. Review collected by and hosted on G2.com.

I do not have much dislike about this platform but this is little confusing for the new user because it is little complicated for installation and initiate the commands. User may require the instruction for installation. Review collected by and hosted on G2.com.

It is open source, has an active community behind. Well documented. You can self host it.

The GUI, called Neo4j Browser, it's very good tool to visualize the data.

Quite flexible, and some fast methods, in order to import graph data into it. Review collected by and hosted on G2.com.

Sometimes the own query language, called cypher, it's a little bit obscure and hard to type. Review collected by and hosted on G2.com.

It is opensourced graph database.

Semi structred data can easily represented and easily get retrive connected data faster.

Scalable architecture.

It helps to maintain the predictability of relation based queries. Review collected by and hosted on G2.com.

No security for data and No data encryption.

There is limit in the graph size like per graph it supports 10 B of nodes. Review collected by and hosted on G2.com.

It allows storing data with complex relationships, which can be represented suitably, making querying easy. Review collected by and hosted on G2.com.

It's primary use is free, but advanced features seem too costly. Review collected by and hosted on G2.com.