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    Neo4j AuraDB Professional (pay-as-you-go)

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    Sold by: Neo4j 
    Neo4j AuraDB is a fully managed, always-on graph database-as-a-service (DBaaS) designed to uncover hidden patterns and relationships in connected data. Developers can build AI-driven, context-rich applications such as fraud detection, entity resolution, product recommendations, customer 360, supply chain optimization, and Generative AI applications. With its Pay-As-You-Go pricing model, Neo4j AuraDB Professional offers a flexible, scalable, and reliable solution for organizations of all sizes.
    Listing Thumbnail

    Neo4j AuraDB Professional (pay-as-you-go)

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    Sold by: Neo4j 

    Overview

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    Neo4j AuraDB Professional is a fully managed, always-on graph database-as-a-service (DBaaS) designed for AI-driven, context-rich applications. AuraDB enables organizations to uncover hidden patterns, drive real-time insights, and harness connected data intelligence. From fraud detection and recommendation engines to knowledge graphs and customer 360, AuraDB powers the next generation of intelligent applications. With AuraDB, you can accelerate your GraphRAG (Retrieval-Augmented Generation) workflows for Generative AI applications, using the power of connected data to provide deeper context and more intelligent responses. Why Choose AuraDB? ** Minimal Admin Overhead: Provision in minutes, scale on demand, and get automated upgrades with minimal maintenance concerns ** Uncover Patterns with Cypher: Built-in support for Cypher, GraphQL, and Graph Analytics to unlock hidden patterns and predictive insights. ** Enterprise Grade Security: Data Encryption, and advanced security controls, ensuring compliance with GDPR, CCPA, and other industry standard regulations. ** Built-in Tools for Developers: Explore data visually, monitor performance, and extend your graphs functionality using developer tools. ** Advanced Graph Algorithms: Uncover hidden patterns, optimize paths, and predict future connections using pre-built graph algorithms such as shortest path, community detection, and centrality analysis. ** Access to support, including 24/7 monitoring, expert guidance, and proactive issue resolution to keep your database and applications running seamlessly. ** Transparent Pricing: Pay-as-you-go, consumption-based pricing with no hidden costs. For private offers or other needs, please contact marketplace-sales@neo4j.com 

    Highlights

    • Fully Managed: Streamline development with a graph database-as-a-service: Supports a flexible property graph data model and the intuitive Cypher query language.
    • Scalable Performance: Scale your database seamlessly with instance sizes ranging from 1 GB to 128 GB, accommodating various application needs.
    • Global Availability: Deploy your applications closer to your operations with availability across multiple regions, enhancing performance and compliance.

    Details

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    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Neo4j AuraDB Professional (pay-as-you-go)

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    Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Neo4j Aura Professional
    Billing is PAYG per GB RAM per hour through your AWS account
    $0.00

    Additional usage costs (4)

     Info

    The following dimensions are not included in the contract terms, which will be charged based on your usage.

    Dimension
    Cost/unit
    AuraDB Professional - Running
    $0.09
    AuraDB Professional - Paused
    $0.018
    AuraDS Professional - Running
    $0.125
    AuraDS Professional - Paused
    $0.025

    Vendor refund policy

    All fees are non-cancellable and non-refundable except as required by law.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Support

    Vendor support

    Tutorials and documentation Getting started with Neo4j documentation: http://neo4j.com/docs/getting-started/  AuraDB documentation: http://neo4j.com/docs/aura/  AuraDB product page: http://neo4j.com/product/auradb  Build Critical Applications on AuraDB, Fully Managed Graph Database:

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by HAQM Web Services.

    Product comparison

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    Updated weekly

    Accolades

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    Top
    10
    In Data Analytics, Databases
    Top
    25
    In Databases, Application Development, Generative AI
    Top
    10
    In Databases, Databases & Analytics Platforms

    Customer reviews

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    AI generated sentiment from actual customer reviews on AWS and G2
    Reviews
    Functionality
    Ease of use
    Customer service
    Cost effectiveness
    Positive reviews
    Mixed reviews
    Negative reviews

    Overview

     Info
    AI generated from product descriptions
    Graph Database Technology
    Fully managed graph database service supporting property graph data model and Cypher query language
    Query Language Support
    Native support for Cypher query language and GraphQL for complex graph data interactions
    Graph Analytics Capabilities
    Advanced graph algorithms including shortest path, community detection, and centrality analysis for pattern discovery
    Security Framework
    Enterprise-grade security with data encryption, advanced security controls, and compliance with industry regulations like GDPR and CCPA
    Scalability Architecture
    Dynamic database scaling from 1 GB to 128 GB with multi-region deployment options for performance optimization
    Vector Database Technology
    Built on Apache Cassandra with native vector database capabilities for generative AI applications
    Real-time Data Processing
    Enables immediate vector updates and data availability with zero delay for streaming workloads
    Search Performance Optimization
    Provides advanced vector search algorithms delivering up to 18% more relevant search results
    Scalability Architecture
    Capable of handling high-throughput workloads with 8X to 15X performance improvements
    Low Latency Processing
    Supports ultra-low latency operations on billions of vectors with rapid request response times
    Multi-Model Database
    Supports multiple data models including search, JSON, TimeSeries, Bloom filters, and Graph capabilities
    Vector Database Technology
    Enables semantic caching and vector management with in-memory data structure and real-time vector operations
    Geo-Distributed Architecture
    Provides Active-Active geo-replication with up to 99.999% uptime SLA and high availability across global infrastructure
    Caching Mechanism
    Utilizes advanced in-memory data store technology for offloading database reads and accelerating application performance
    Scalability Framework
    Supports deployment of multiple Redis instances on a single cluster node with flexible hybrid and multi-cloud implementations

    Contract

     Info
    Standard contract
    No
    No
    No

    Customer reviews

    Ratings and reviews

     Info
    4
    1 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    100%
    0%
    0%
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    1 AWS reviews
    |
    131 external reviews
    External reviews are sourced from G2  and are not included in the star rating for this product.
    Tfatih

    How Can I renew suspended project subscription on AWS Marketplace

    Reviewed on Dec 23, 2024
    Purchase verified by AWS

    Hi, I have a neı4j subscription via marketplace and I bought with disable autorenew. Now my project is suspended and I want to reenable this subscription. But I m not sure when I resubscription neo4j on AWS marketplace (on same aws account) will enable my current project. Do you have an advice about this issue. I have 10 days to renew my subscription before it gets deleted

    Krunal K.

    Neo4j used for design supply chain solutions

    Reviewed on Oct 22, 2024
    Review provided by G2
    What do you like best about the product?
    The ease of creating graph and graph visualisation using neo4j platform
    What do you dislike about the product?
    The neo4j graph query language is tough for first timer
    What problems is the product solving and how is that benefiting you?
    We wanted to find root cause of increasing customer complaints for a cpg company's product by connecting the supply chain end to end in graph
    Computer Software

    Neo4j Review: A Great Database to Start with Graph Technologies

    Reviewed on Jul 24, 2024
    Review provided by G2
    What do you like best about the product?
    The Cypher language allows you to construct queries that are understandable even without technical expertise.
    Open source and community edition that can be self-hosted.
    Neo4j Browser to visualize graph data.
    What do you dislike about the product?
    For a self-hosted solution, the update process is not always straightforward.
    What problems is the product solving and how is that benefiting you?
    Neo4j helps us creating and maintain a representation of the real world, with its structure of nodes and relations; something that may be impossible to do with sql-like database
    Pratik A.

    Best Graph Database for your data pattern insight and ML workload

    Reviewed on May 30, 2024
    Review provided by G2
    What do you like best about the product?
    the cypher syntax of neo4j is really great for beginners, it is as similar as human communicating with db in english langauage. it's just that we have to express in a correct manner for e.g if i want to retrieve all the persons with a gender male it's cypher syntax will be
    Match (p: Person { Gender:"Male"} ) return p )
    Neo4j's Browser and Bloom feature gives business stakeholder and data scientist/analyst to analyze their data which i think currently no other database give at this moment
    and on top of that they have their own graph data science library which gives feasibility in developing application such as link prediction, recommendation system, chatbots
    What do you dislike about the product?
    I think they should add more compute storage for Aura DB, as our system can load 100s of GB data in neo4j , but currently i dont see any option for
    What problems is the product solving and how is that benefiting you?
    I have expertise in building analytical solution which speaks insights from client data , it's amazing speed of retrieval from billions of nodes and relationships is one of the reason for choosing neo4j for big data and complex relationship analysis. to be more specific we have used neo4j aura 8gb ram instance which gives us feasibility to store millions of nodes and relationships and the best thing about is infrastructure is completely managed by neo4j aura. clients are able to take better business decision based on the visual representation of nodes and relationships, we use neovis.js library for representing these data in the form of nodes and relationship and abstracting the technical logic and ensuring the security of data layer and then using algorithms like Fast RP Embeddings we created recommendation engine easily, thank you neo4j.
    Dipak K.

    Simplifying Machine Learning based product development with scalable graph database

    Reviewed on Apr 18, 2024
    Review provided by G2
    What do you like best about the product?
    I have been using neo4j from last 6 month everyday for developing machine learning and data analysis products. it is really faster than RDBMS and helps in developing products such as market basket analysis, community detection and also for generative ai solutions for creating owr own chatbots. Learning neo4j is quite easy due to its documentation and community support available, It has support for multiple languages such as python, java etc. i personally use neo4j python library because it helps me in integrating with my existing machine learning product. I think every data science professional should be aware of neo4j and its power to create a scalable ML products.
    What do you dislike about the product?
    one thing i think which needs to be improved is adding more sql like features in CYPHER query
    What problems is the product solving and how is that benefiting you?
    Neo4j stores data in the form of nodes and relationship, this type of structure helps in faster access to data and finding patterns in data for machine learning. for e.g. recently i have implemented market basket analysis using neo4j whereas i have created product and transaction as nodes and each transaction will be connected to the products which was related to that transaction, hence i was able to get the pattern which product is frequently purchased together and even i was able to find out on which day that product is mostly baught.
    View all reviews