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Neo4j Graph Data Science description
Neo4j Graph Data Science helps businesses find hidden patterns and relationships in their data. It uses a network-based approach, revealing connections that traditional methods might miss. This leads to better predictions for things like fraud detection, recommendations, and optimizing routes. With pre-built tools and algorithms, data science teams can quickly analyze vast amounts of information, visualize complex connections, and easily share findings with business leaders. It integrates with existing data systems and offers flexible deployment options to fit different needs.
Who is Neo4j Graph Data Science best for
Neo4j Graph Data Science empowers data science teams in medium to large enterprises to uncover hidden relationships within their data. Its graph-based approach enables more accurate predictions for diverse applications like fraud detection and recommendations. The platform offers a comprehensive suite of tools and algorithms, facilitating efficient analysis, visualization, and collaboration.
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Ideal for medium to large enterprises (101+ employees), offering scalable solutions for graph data science.
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A versatile tool suitable for various industries, enhancing data analysis and prediction capabilities.
Neo4j Graph Data Science features
Supported Neo4j Graph Data Science excels at relationship analysis, leveraging connections in data to enhance prediction accuracy and uncover hidden insights. |
Supported Neo4j Graph Data Science is designed to handle vast datasets, scaling to billions of data points to facilitate exploration and analysis of extensive data. |
Supported Neo4j Graph Data Science offers a comprehensive toolkit with a wide range of graph algorithms, machine learning models, and visualization tools for in-depth analysis. |
Supported Neo4j Graph Data Science facilitates efficient collaboration and project deployment, enabling data science teams to share insights rapidly and operationalize projects effectively. |
Neo4j Graph Data Science pricing
The commentary is based on 3 reviews from Neo4j Graph Data Science G2 reviews.
Neo4j offers different products with varying pricing models. AuraDB is a cloud-based graph database with tiered subscription plans. Graph Data Science is available in Community and Enterprise editions, with the latter requiring contacting sales for pricing.
See the Neo4j Graph Data Science pricing page.
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Neo4j Graph Data Science has a free plan.
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Neo4j Graph Data Science has a free trial.
Learn and explore graphs. No credit card required. Start learning with access to all graph tools.
Build production-ready applications. Up to 128GB memory per database instance. Scalable on demand. Daily backups, 7-day retention. Available on Azure, AWS, and Google Cloud. Advanced instance-level metrics.
Scale applications for enterprise use. Up to 512GB memory per database instance. Highly available 3-zone cluster with 99.95% uptime SLA. Daily backups with 30-day retention and hourly point-in-time restore. Role-based access control with granular security. Pay-as-you-go and prepaid consumption billing. 24x7 support.
Deploy applications using all capabilities of AuraDB Business Critical, but in a dedicated environment. VPC isolation and dedicated infrastructure. Up to 512GB memory per database instance. Hourly backups with 60-day retention. Enhanced 24x7 support and services.
Open source under GPLv3. Fully featured, best-in-class native graph database. Cypher graph query language. Fully ACID transactions. Fully compatible with Neo4j Graph Data Science community edition.
Enterprise-grade availability and security with scale-up and scale-out options. Run in your private cloud or public cloud infrastructure. Includes all features from community edition. Unlimited horizontal scaling with replication and sharding. Fine-grained access controls. High availability and advanced manageability. Available as an operational cluster or stand-alone data science environment. Support for analytical queries using Parallel Runtime. Change Data Capture.
Unlock insights from connected data to improve decisions on any cloud, any data—no ETL required. Up to 512 GB (RAM). Pay-as-you-go and prepaid consumption billing. Unlimited concurrent sessions; Spin up and down as needed. Works with any data source including AuraDB, relational databases, CSVs – no ETL required. Native integration with AuraDB (not included). Available on Azure, AWS, and Google Cloud. Scale compute up or down independently with serverless architecture.
Deploy graph data science experiments to production on a single platform for storage and compute with monthly billing. 8-96GB (RAM). Pay as you go: credit card, AWS, or Google Cloud billing. Pause instances when not in use to reduce cost. Includes Neo4j AuraDB.
Enjoy additional scale, security, premium support, and negotiable contracts. 8-384GB (RAM). Custom pricing and sales contracts. Pause instances when not in use, pay 80% less. Includes Neo4j AuraDB. Premium 24x7 support. Pay with committed spend from AWS, Azure, and Google Cloud. Private marketplace offers for AWS, Azure, and Google Cloud. Dedicated virtual private cloud (VPC). Customer managed keys.
Open source for small projects, learning, experimentation, and prototyping. Maximum of 4 CPU cores.
A self-hosted offer with annual licensing is available on-premises or in the cloud. Premium support included. Pay with committed spend from AWS, Azure, and Google Cloud. Read replicas. Hybrid clusters.
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Neo4j Graph Data Science FAQ
Neo4j Graph Data Science is a tool that helps uncover hidden relationships in data using graph algorithms and machine learning. It enables improved predictions, insightful visualizations, and streamlined collaboration for data science teams working with large datasets. It's ideal for complex relationship analysis and offers flexible deployment options.
What is Neo4j Graph Data Science and what does Neo4j Graph Data Science do?
Neo4j Graph Data Science is a tool that helps uncover hidden relationships in data using graph algorithms and machine learning. It enables improved predictions, insightful visualizations, and streamlined collaboration for data science teams working with large datasets. It's ideal for complex relationship analysis and offers flexible deployment options.
Neo4j Graph Data Science integrates with existing data systems and offers flexible deployment options. It supports various programming languages like Python, Java, and R, and platforms like Jupyter notebooks and visualization tools. This allows seamless incorporation into existing data science workflows.
How does Neo4j Graph Data Science integrate with other tools?
Neo4j Graph Data Science integrates with existing data systems and offers flexible deployment options. It supports various programming languages like Python, Java, and R, and platforms like Jupyter notebooks and visualization tools. This allows seamless incorporation into existing data science workflows.
Top alternatives to Neo4j Graph Data Science include SAS Viya, SAS Visual Data Mining and Machine Learning, and FICO Analytic Modeler Decision Tree Professional. Other competitors include Tableau, RapidCanvas, and RATH, each offering varying data analysis and visualization capabilities.
What the main competitors of Neo4j Graph Data Science?
Top alternatives to Neo4j Graph Data Science include SAS Viya, SAS Visual Data Mining and Machine Learning, and FICO Analytic Modeler Decision Tree Professional. Other competitors include Tableau, RapidCanvas, and RATH, each offering varying data analysis and visualization capabilities.
Yes, Neo4j Graph Data Science is a legitimate product. It's a popular choice for graph-based data science, offering robust features and scalability for various data analysis tasks. It's well-regarded for its relationship analysis capabilities and comprehensive toolkit.
Is Neo4j Graph Data Science legit?
Yes, Neo4j Graph Data Science is a legitimate product. It's a popular choice for graph-based data science, offering robust features and scalability for various data analysis tasks. It's well-regarded for its relationship analysis capabilities and comprehensive toolkit.
Neo4j Graph Data Science offers a free Community edition for small projects. Enterprise, AuraDS Professional, and AuraDS Enterprise editions have custom pricing based on your needs and scale. Contact sales for pricing details. Is the product worth it? That depends on your project requirements and budget.
How much does Neo4j Graph Data Science cost?
Neo4j Graph Data Science offers a free Community edition for small projects. Enterprise, AuraDS Professional, and AuraDS Enterprise editions have custom pricing based on your needs and scale. Contact sales for pricing details. Is the product worth it? That depends on your project requirements and budget.
Neo4j Graph Data Science customer support is viewed favorably. Users appreciate the helpful community forum and quick resolutions, contributing to a positive customer service experience. While the Python library documentation could be improved, the overall support seems excellent.
Is Neo4j Graph Data Science customer service good?
Neo4j Graph Data Science customer support is viewed favorably. Users appreciate the helpful community forum and quick resolutions, contributing to a positive customer service experience. While the Python library documentation could be improved, the overall support seems excellent.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.
An AI tool that observes your work, finds inefficiencies, and suggests smarter ways to do things. Maybe you can use your tools better, automate tasks, or switch software.