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Neo4J

Neo4j Graph Database

Composite Score

7.6 /10

CX Score

7.7 /10

18 Reviews Write a Review

Claim Software

What is Neo4j Graph Database?

Centered around the leading graph database, today's Neo4j Graph Data Platform is a suite of applications and tools helping the world make sense of data. The Platform includes Neo4j Graph Data Science – the leading enterprise-ready analytics workspace for graph data – the graph visualization and exploration tool Bloom, the Cypher query language, and numerous tools, integrations and connectors to help developers and data scientists build graph-based solutions with ease.

Company Details

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Awards & Recognition

Neo4j Graph Database won the following awards in the Transaction Data Store category

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6 Top Rated Capabilities

7 Top Rated Features

Latest Award, 2025

Contract Negotiation

2025

8 Top Rated Capabilities

13 Top Rated Features

2024

Neo4j Graph Database Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Neo4j Graph Database.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

90 Likeliness to Recommend

4
Since last award

100 Plan to Renew

78 Satisfaction of Cost Relative to Value

7
Since last award

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Emotional Footprint Overview

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+90 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Neo4j Graph Database?

0% Negative

9% Neutral

91% Positive

Pros

Helps Innovate
Continually Improving Product
Enables Productivity
Saves Time

Feature Ratings

Average 81

Data Management

Database Management

Data Monitoring and Administration

Data Virtualization

Big Data Analytics

High Speed & Online Transaction Processing

Data Protection and Security

Hybrid Transaction and Analytical Support

High Availability

Operations Management

Cloud/On-Prem/Hybrid Deployment

Vendor Capability Ratings

Average 81

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Availability and Quality of Training

Ease of Customization

Business Value Created

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Breadth of Features

Vendor Support

Neo4j Graph Database Reviews

Role: Student Academic
Industry: Engineering
Involvement: Initial Implementation

Validated Review

Anonymous Reviewer

Submitted Feb 2021

One of the best graphical databases I've used

Likeliness to Recommend

10 /10

Pros

Helps Innovate
Continually Improving Product
Reliable
Performance Enhancing

Neo4j Graph Database

What is Neo4j Graph Database?

Company Details

Need Assistance?

Awards & Recognition

Neo4j Graph Database Ratings

90 Likeliness to Recommend

4 Since last award

100 Plan to Renew

78 Satisfaction of Cost Relative to Value

7 Since last award

Emotional Footprint Overview

+90 Net Emotional Footprint

How much do users love Neo4j Graph Database?

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Management Includes data sharing, data storage, records management, and data security.

Database Management Supports multiple data types, data structuring, data retrieval, database customization, and multi-user access.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Data Virtualization Includes ability to create views joining disparate data sources without the need for persistence.

Big Data Analytics Use of big data analytics through integration into purpose-built big data tools or native capabilities, incorporating advanced security methods.

High Speed & Online Transaction Processing Also referred to as OLTP (Online Transaction processing). OLTP databases include strong support for CRUD operations and ACID compliance.

Data Protection and Security Includes data encryption, data audit, and data compliance.

Hybrid Transaction and Analytical Support Includes OLTP and OLAP (Online Analytical Processing). Most OLTP systems support some level of OLAP but very few OLAP systems support OLTP.

High Availability HA DB designed for near-zero downtown by seamless replication of data between environments for uninterrupted real-time access and fail-over capabilities.

Operations Management Includes cost control, production management, and performance management.

Cloud/On-Prem/Hybrid Deployment Supports one or many deployment models - On-prem, cloud or hybrid hosting of the database system.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Neo4j Graph Database Reviews

One of the best graphical databases I've used

Likeliness to Recommend

Pros

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Feature Ratings

Data Management

Database Management

Data Monitoring and Administration

Data Virtualization

Big Data Analytics

High Speed & Online Transaction Processing

Data Protection and Security

Hybrid Transaction and Analytical Support

High Availability

Operations Management

Cloud/On-Prem/Hybrid Deployment

Vendor Capability Ratings

Usability and Intuitiveness

Quality of Features

Ease of Implementation

Availability and Quality of Training

Ease of Customization

Business Value Created

Ease of Data Integration

Ease of IT Administration

Product Strategy and Rate of Improvement

Breadth of Features

Vendor Support