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Neo4J

Neo4j Graph Database

Composite Score

7.8 /10

CX Score

8.2 /10

11 Reviews Write a Review

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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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.

88 Likeliness to Recommend

100 Plan to Renew

90 Satisfaction of Cost Relative to Value

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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.

+95 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

2% Neutral

98% Positive

Pros

Reliable
Helps Innovate
Continually Improving Product
Enables Productivity

Feature Ratings

Average 86

High Speed & Online Transaction Processing

Data Monitoring and Administration

Data Protection and Security

Hybrid Transaction and Analytical Support

Data Virtualization

Data Management

Database Management

Big Data Analytics

Analytics and Reporting

High Availability

Operations Management

Vendor Capability Ratings

Average 85

Business Value Created

Usability and Intuitiveness

Availability and Quality of Training

Quality of Features

Ease of Data Integration

Ease of Customization

Ease of Implementation

Product Strategy and Rate of Improvement

Breadth of Features

Ease of IT Administration

Vendor Support

Neo4j Graph Database Reviews

Serdar C.

Role: Information Technology
Industry: Other
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted May 2022

Best Graph Database in the market.

Likeliness to Recommend

10 /10

What differentiates Neo4j Graph Database from other similar products?

Neo4j is open source and supports a variety of programming languages.

What is your favorite aspect of this product?

Neo4j has the most active user base among all Graph databases so it has the most support and use-cases to learn and be inspired from.

What do you dislike most about this product?

Cypher can sometimes be tricky and the documentation needs improvement.

What recommendations would you give to someone considering this product?

While Neo4j is great to work on, total migration should be done with care. Make sure the data is suited for graph modelling.

Pros

Helps Innovate
Performance Enhancing
Enables Productivity
Unique Features

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

How We Deliver

Neo4j Graph Database

What is Neo4j Graph Database?

Company Details

Need Assistance?

Awards & Recognition

Neo4j Graph Database Ratings

88 Likeliness to Recommend

100 Plan to Renew

90 Satisfaction of Cost Relative to Value

Emotional Footprint Overview

+95 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

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 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 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.

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

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.

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

Analytics and Reporting Includes historical & real-time dashboard visualizations, detailed & summary reporting and easy data extraction for data analysis.

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.

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

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.

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.

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.

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

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.

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.

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.

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

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

Serdar C.

Best Graph Database in the market.

Likeliness to Recommend

Pros

One of the best graphical databases I've used

Likeliness to Recommend

Pros

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Title

Feature Ratings

High Speed & Online Transaction Processing

Data Monitoring and Administration

Data Protection and Security

Hybrid Transaction and Analytical Support

Data Virtualization

Data Management

Database Management

Big Data Analytics

Analytics and Reporting

High Availability

Operations Management

Vendor Capability Ratings

Business Value Created

Usability and Intuitiveness

Availability and Quality of Training

Quality of Features

Ease of Data Integration

Ease of Customization

Ease of Implementation

Product Strategy and Rate of Improvement

Breadth of Features

Ease of IT Administration

Vendor Support