--- title: Neo4j Graph Data Science Reviews meta_title: 'Neo4j Graph Data Science Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 16 reviews by the users' company size, role or industry to find out how Neo4j Graph Data Science works for a business like yours. aggregate_rating: rating_value: 4.5 review_count: 16 scale: '5' date_modified: '2026-08-07' parent_category: name: Analytics Tools & Software url: https://www.g2.com/categories/analytics-tools-software --- # Neo4j Graph Data Science Reviews **Vendor:** Neo4j **Category:** [Graph Visualization Tools Software](https://www.g2.com/categories/graph-visualization-tools) **Average Rating:** 4.5/5.0 **Total Reviews:** 16 ## About Neo4j Graph Data Science Neo4j Graph Data Science is a data science and machine learning engine that uses the relationships in your data to improve predictions. It plugs into enterprise data ecosystems so you can get more data science projects into production quickly. Using a catalog of over 65 pretuned graph algorithms, data scientists can explore billions of data points in seconds to identify hidden connections and generate compelling visualizations that lead to better stakeholder decision making. Practical business applications and operations benefit from the context-first analysis that only graphs can provide across projects like recommendation engines, anomaly and fraud detection, route optimization, marketing, network analysis, and many more. ## Neo4j Graph Data Science Pros & Cons **What users like:** - Users commend the **ease of use** of Neo4j Graph Data Science, simplifying onboarding and navigation for all staff. (8 reviews) - Users value the **wide variety of algorithms** in Neo4j Graph Data Science for diverse analytics needs. (6 reviews) - Users value the **effective problem solving** capabilities of Neo4j GDS, enhancing data modeling and analytics experiences. (5 reviews) - Users value the **advanced analytics capabilities** of Neo4j Graph Data Science, enabling deeper insights from complex datasets. (4 reviews) - Users appreciate the **powerful machine learning support** in Neo4j GDS, enhancing modeling and analytics in graph environments. (4 reviews) - Powerful (4 reviews) - Scalability (4 reviews) - Insights (3 reviews) - Productivity Improvement (3 reviews) - Quality (3 reviews) **What users dislike:** - Users find the **learning curve challenging** , causing confusion and difficulty in effectively utilizing the Neo4j Graph Data Science library. (5 reviews) - Users note a significant **learning curve** with Neo4j Graph Data Science, which may hinder quick adoption for beginners. (4 reviews) - Users highlight the **steep learning curve for beginners** in navigating Neo4j Graph Data Science effectively. (3 reviews) - Users face a **difficult learning curve** with Neo4j Graph Data Science, complicating initial adoption for beginners. (3 reviews) - Users find the **cost of Neo4j Graph Data Science** to be quite high compared to similar solutions available. (3 reviews) - Insufficient Learning Resources (2 reviews) - Limited Features (2 reviews) - Steep Learning Curve (2 reviews) - Cost (1 reviews) - Cost Issues (1 reviews) ## Neo4j Graph Data Science Reviews ### 1. Neo4J GDS is a useful tool for discovery of novel proteins with specific functions **Rating:** 4.0/5.0 stars **Reviewed by:** Saif U. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 07, 2023 **What do you like best about Neo4j Graph Data Science?** Neo4j GDS has been invaluable to our journey here at Basecamp Research. We could leverage the algorithms offered to build useful customer search pipelines. This process would have taken a lot longer and had more risk built into it if we were to attempt to construct the same infrastructure manually around our data. **What do you dislike about Neo4j Graph Data Science?** One of the disadvantages of Neo4J's GDS offering is the upgrading system which involves swapping out jar files in a plugins folder and restarting the instance. This process can cause issues. Also, in some cases, the algorithms we wanted to use were unavailable. **What problems is Neo4j Graph Data Science solving and how is that benefiting you?** Neo4J GDS allows us to structure our protein data in such a way that we can leverage the relationships between individual molecules as well as with other key metadata to predict potential function. ### 2. Excellent tool & great support **Rating:** 4.0/5.0 stars **Reviewed by:** Phil L. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 31, 2023 **What do you like best about Neo4j Graph Data Science?** Very easy to onboard technical and less technical staff. Customer support is incredible. Overall really impressed. **What do you dislike about Neo4j Graph Data Science?** Sometimes there's a lack of transparency as to the exact algorithms/mathematical equations used 'under the hood'. Pricing is on the higher end. With the current progress in generative AI (e.g. language and diffusion models), I'd love to see neo4j wake up more to this reality and ensure relevant integrations & models are being offered by GDS soon, otherwise I see a risk of neo4j falling behind. **What problems is Neo4j Graph Data Science solving and how is that benefiting you?** We use Neo4j Graph Data Science in both internal Deep Learning/R&D projects as well as in commercial customer/product pipelines. ### 3. Amazing! **Rating:** 3.5/5.0 stars **Reviewed by:** Smit T. | Small-Business (50 or fewer emp.) **Reviewed Date:** April 06, 2023 **What do you like best about Neo4j Graph Data Science?** It can work out of the box on top of Neo4j so its very easy to use. The model ecosystem and performance is quite good. Highly recommend testing it on large projects. **What do you dislike about Neo4j Graph Data Science?** There is a learning curve to it and sometimes it may not work as you expect. **What problems is Neo4j Graph Data Science solving and how is that benefiting you?** I used it mainly for recommendation systems and the result was quite good. ### 4. Best basic to intermediate tool for deploying ML modes **Rating:** 4.0/5.0 stars **Reviewed by:** Ashutosh L. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 04, 2023 **What do you like best about Neo4j Graph Data Science?** User interface and sinple to use for any technical non technical professional **What do you dislike about Neo4j Graph Data Science?** Simply well organised service to get ML models deployed easily and quickly **What problems is Neo4j Graph Data Science solving and how is that benefiting you?** Simple to use with deployment and model Monitoring over variable time period - [View Neo4j Graph Data Science pricing details and edition comparison](https://www.g2.com/products/neo4j-graph-data-science/reviews?filters%5Bnps_score%5D%5B%5D=4§ion=pricing&secure%5Bexpires_at%5D=2026-08-12+18%3A42%3A01+-0500&secure%5Bsession_id%5D=22b8d047-046d-4919-8cf4-5d729be03f07&secure%5Btoken%5D=a487d0358a1e92309f536a16c22eb8465ad1d69a06a8f9e331a537ee0e133d58&format=llm_user) ## Neo4j Graph Data Science Features **Additional Functionality** - Tagging - Natural Language Processing - Data Extraction - Multi-Language - Predictive Analytics - Drag & Drop - Speech Recognition - Reporting/Analytics - Data Storage Management - Virtual Personal Assistant (VPA) - AI Copilot - Customer Segmentation - Collaboration Tools - Data Import/Export - Generative AI - For eCommerce - Role-Based Permissions - Customizable Branding - Search/Filter - Monitoring - Document Management - API - Data Visualization - Trend Analysis - Machine Learning - Access Controls/Permissions - Alerts/Escalation - Performance Metrics - Real-Time Data - Third-Party Integrations - Mobile App - Multiple Data Sources - For Sales Teams/Organizations - Sentiment Analysis - Activity Dashboard - Chatbot - Workflow Automation **Integration - Machine Learning** - Integration - Third-Party Integrations **Data Integration - Graph Visualization Tools** - Database Connectivity - Real-time data support **Statistical Tool** - Scripting - Data Mining - Algorithms **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Customization - Graph Visualization Tools** - Dynamic Scaling - Node and edge styling **Additional Functionality** - Predictive Modeling - Configurable Workflow - Tagging - Data Import/Export - API - Predictive Analytics - Data Visualization - Endpoint Management - Multiple Data Sources - No-Code - Data Preparation - Auditing - Collaboration Tools - Big Data Analytics - ML Algorithm Library - Data Management - Activity Dashboard - Data Capture and Transfer - Activity Tracking - Data Connectors - Data Security - Data Extraction - Reporting & Statistics - Workflow Management - AI Copilot **Data Analysis** - Analysis - Data Interaction - Time Series Analysis - Trend Analysis **Collaboration and Usability - Graph Visualization Tools** - Multiuser collaboration **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification - Customizable Reports **Integration and Extensibility - Graph Visualization Tools** - API Support **Generative AI** - AI Text Generation - AI Text Summarization - Generative AI **Additional Functionality** - Demand Forecasting - AI/Machine Learning - Drag & Drop - For Healthcare - Forecasting - Data Extraction - Third-Party Integrations - Decision Support - Modeling & Simulation - Alerts/Notifications - Reporting/Analytics - Multiple Data Sources - For Retail - For Education - Data Discovery - Graphical Workflow Editor - Performance Metrics - Business Rules Management - AI Copilot - Natural Language Processing - Data Transformation - Data Clustering - API - Data Blending - Data Classification - Workflow Management - Workflow Automation ## Top Neo4j Graph Data Science Alternatives - [Tableau](https://www.g2.com/products/tableau/reviews) - 4.4/5.0 (3,680 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (860 reviews) - [Amazon QuickSight](https://www.g2.com/products/amazon-quicksight/reviews) - 4.3/5.0 (677 reviews)