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Neo4j has proven to be a valuable tool for a wide range of applications and industries. Users appreciate its efficiency in storing and …
Starting at $65 per month
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What is Neo4j?
Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.
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What is Neo4j?
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What Is Neo4j?
Neo4j Technical Details
| Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Windows, Linux, Mac |
| Mobile Application | No |
Frequently Asked Questions
Neo4j is an open source embeddable graph database developed by Neo Technologies based in San Mateo, California with an office in Sweden.
Neo4j starts at $65.
The most common users of Neo4j are from Enterprises (1,001+ employees).
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(34)
Community Insights
TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!
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Neo4j has proven to be a valuable tool for a wide range of applications and industries. Users appreciate its efficiency in storing and retrieving data with tree relationships, making it an ideal choice as the primary database for applications. In comparison to traditional SQL databases, Neo4j outperforms in efficiently looking up nodes and their relationships. This is particularly beneficial for applications that deal with data containing multiple relationships.
One area where Neo4j excels is in persisting knowledge graphs, providing a schemaless data store that enables the discovery of relationships between entities. Its ability to improve query performance through constant-time joins and fast search and retrieval of results makes it suitable for websites that require efficient data management. Additionally, Neo4j serves as a central storage solution for managing relationships within complex datasets, offering easy data management, analysis, and reporting capabilities.
In the commercial sector, Neo4j is highly utilized to create network maps and visualize relationships between customers or end-users. This not only aids in understanding the connections between individuals but also facilitates strategic planning and decision-making. Furthermore, Neo4j's capacity to handle large databases with multiple relationships without sacrificing performance makes it an excellent choice for both research and development purposes as well as at the application level for supporting queries on extensive datasets. Overall, Neo4j's versatility and efficiency make it a powerful tool for various use cases across industries.
Fast and Efficient Performance: Many users have praised Neo4j for its extremely fast performance, allowing for quick processing of queries and efficient handling of large datasets. The software's ability to handle complex tasks without any performance issues has been highlighted by multiple reviewers.
Intuitive Query Language: Reviewers have appreciated the intuitive and easy-to-use query language, Cypher, which makes it simple to write and execute queries in Neo4j. This mature query language offers rich features and is capable of effectively handling a wide range of problems, making it a preferred choice for many users.
Flexible Integration Options: Neo4j's support for APIs in various programming languages such as Java, Python, PHP, and NodeJS has been highly valued by users. This flexibility allows for seamless integration with different systems and provides ease of use when working with external applications or services.
Scaling Challenges: Some users have found it challenging to horizontally scale Neo4j and have not been able to find a viable solution for this issue.
Limited Integration with Other APIs: Several users have mentioned that Neo4j does not integrate well with other open source APIs like Blueprint, requiring the use of its own native API instead.
Lack of Built-in Visual Tool: Many users expressed a desire for a built-in visual tool within Neo4j to view data, rather than relying on third-party tools.
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Reviews
(1-9 of 9)Companies can't remove reviews or game the system. Here's why
Score 2 out of 10
Vetted Review
Verified User
Scaling is a huge issue in Neo4j. Clusters are supposed to allow horizontal scaling and they say they support billions of nodes, but in fact, a database with ~600 mil nodes and 1.5TB in size is barely manageable. Backups slow, count() times out, server restart will take hours (!!!!). And 2GB hard transaction limit is another hard candy of a clustered mode, requiring to use things like apoc.iterate for long updates, making them impossible to rollback in case something goes wrong (apoc.iterate commits results on the go).
So - if you need scaling, think twice.
So - if you need scaling, think twice.
August 26, 2021
To Neo4J or not to Neo4J? Neo4J all the way!
[Neo4j] is being used on the commercial side of our organization to help create network maps and see relationships between customers or end-users. I am not sure if other areas of the business are using it at the moment. I would say it is still in its infancy at our company, though.
As [we are] working in the US healthcare domain, we have to deal with large databases like UMLS. It also contains more than 12 relationships among the nodes. To analyze and build a relational module, Neo4j is good choice for us. Mostly Neo4j is used in the R&D department for analysis. But it is also in use at application level to support queries on a large dataset.
December 18, 2018
Neo4j, best graph database out there!
We use Neo4j to manage all the relationships of our data. We didn't want to use anything else because joins get too slow for querying. Neo4j is actually the glue to our platform. Everything is connected using Neo4j, having it makes the management of our data fairly easy and also allows for easy analysis and reports.
We used Neo4J to store data that have tree relationships. It is being used by our entire organization for various data to be stored. It addresses the problem of storing data that has multiple relationships pretty well. Storing data in Neo4J allows for a very efficient way to look up nodes and their relationships are quicker than storing similar data in traditional SQL database.
August 24, 2017
Where graph data modeling shines using Neo4j
I am using it as schemaless data store to persist my knowledge graph. As the name indicates, neo4j is a perfect choice when the query pattern is about finding the relationships between entities. I evaluated it with similar use cases, besides knowledge graph, where finding patterns was essential. It is a very good choice when joins are very common in a relational store. As the data is completely materialized, all joins are in constant time which tremendously improves query performance out of the box without extra system design.
Score 10 out of 10
Vetted Review
Verified User
Neo4j provides the framework for our business’ cloud solution, which helps companies digitize their supply chains. It is used primarily by our developer team, but our entire organization benefits from it. We were looking for a solution that would be able to handle very complex queries without sacrificing performance, and Neo4j really addresses these issues.
Neo4j was an experiment for us. We needed to model people and relationships for which graph databases were most suited. Google search resulted "Neo4j" on top, so we tried it, and it is awesome! The project, unfortunately, has been shut down, but at the time, we used it as the primary database for the application. The database model was designed such that every piece of information could be mapped to either a node or an edge, so we didn't need to use any sort of relational or other no-SQL database.
September 12, 2016
Neo4j: Connecting the dots for graph data
We use Neo4j as storage for data that can naturally be modeled as a graph (think nodes and edges). It allows us to create rich objects with multiple properties, ingest them at reasonable rates, and the search against the graph and return results fast enough that you can run a website directly off it.
It's not a general data storage solution, but for applications where you can about the graph or network nature of the data it excels.
It's not a general data storage solution, but for applications where you can about the graph or network nature of the data it excels.