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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 Graph Data Science offers powerful graph algorithms and analytics capabilities. However, reviews indicate higher pricing for AuraDB and a limited free tier may be a concern for some users. Despite the cost, the advanced features and performance justify the investment for many applications.
See the Neo4j Graph Data Science pricing page.
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Neo4j Graph Data Science has a free plan.
Open source for small projects, learning, experimentation, and prototyping. Maximum of 4 CPU cores.
A self-hosted offer, available on-premises or in the cloud, with annual licensing. Premium support included.
Fastest way to take your graph data science experiments to production with monthly billing. 8-96GB (RAM). Pay as you go: credit card, AWS or Google Cloud billing.
AuraDS Enterprise offers additional scale, security, premium support, and negotiable contracts. 8-384GB (RAM). Custom pricing and sales contracts.
Neo4j Graph Data Science alternatives
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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.