Neo4j Graph Data Science
4.4
8

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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.
Developer
Neo4j, Inc.
HQ Location
San Mateo, CA
Year Founded
2007
Number of Employees
786
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Neo4j Graph Data Science Plan

AuraDS Professional $ 1 Per Month
AuraDS Professional is the fastest way to take your graph data science experiments to production with monthly billing. 8-96GB (RAM) Pay as you go: credit card or Google Cloudbilling Automated updates/patches Pause instance when not in use Pay 80% less when instance paused
AuraDS Enterprise $ Contact Us
AuraDS Enterprise offers additional scale, security, premium support, and negotiable contracts. 8-384GB (RAM) Automated updates and patches Pause instances when not in use, pay 80% less Custom pricing and sales contracts Premium 24x7 support Support for Google Cloudmarketplace private offers Dedicated virtual private cloud (VPC)
Graph Data Science Enterprise $ Contact Us
Neo4j Graph Data Science is a self-hosted offer, available on-premises or in the cloud, with annual licensing. Premium support included Pay with committed spend from AWS, GCP, or Azure Read replicas Hybrid clusters
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