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.
Overview
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Community Detection Algorithm (Louvain)
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Build Critical Applications on AuraDB
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Product video
Neo4j AuraDB 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, with automated upgrades and minimal maintenance windows. ** 1000x Faster Queries than Relational: Built-in support for Cypher, GraphQL, and Graph Analytics to unlock hidden patterns and predictive insights. ** Enterprise Grade Security: Data Encryption, and advanced role-based access control, ensuring compliance with GDPR, CCPA, and other industry standard regulations. ** Built-in Tools for Developers: Explore data visually with Neo4j Bloom, monitor performance, and extend your graph 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 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
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.
Pricing
Pricing is based on contract duration. 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 any usage exceeds the entitle amount or not covered in the contract. These charges will be applied on top of the contract price. If you choose not to renew or replace your contract before it ends, access to your entitlements will expire.
Dimension | Description | Cost/12 months |
|---|---|---|
Neo4j Aura Professional | Billing is PAYG per GB RAM per hour through your AWS account | $0.00 |
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.
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.
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.
Resources
Vendor resources
Support
Vendor support
Tutorials and documentation Getting started with Neo4j documentation: https://neo4j.com/docs/getting-started/ AuraDB documentation: https://neo4j.com/docs/aura/ AuraDB product page: https://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 Amazon Web Services.
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By Neo4j
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In Databases, Generative AI
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Scalable and Reliable Service
Fully-managed, Pay As You Go graph database as a service for intelligent, context-driven applications using connected data sets. Built on the battle-tested Neo4j graph platform, Neo4j Aura Professional offers a scalable and reliable service for all sizes of customers.
Property Graph Data Model
Neo4j stores and manages data in its more natural, connected state, maintaining data relationships that deliver lightning-fast queries, a deeper context for analytics, and an intuitive modifiable property graph data model.
Cypher Query Language
Fully-managed graph database-as-a-service supporting flexible property graph data model and Cypher query language
Real-time Insights
Build intelligent, context-driven applications faster with lightning-fast queries, real-time insights, built-in developer tools, data visualization, and integrations supported by the largest graph developer community.
Graph Data Science
Neo4j AuraDS is the fully managed data science as a service solution for data scientists based on Neo4j Graph Data Science It helps data scientists build predictive models and analytics workflows. This connected data analysis platform unifies the machine learning (ML) surface and graph database into a single workspace, making it easy to uncover the connections in big data and answer business-critical questions.
Vector Database
Astra DB is a vector database built on Apache Cassandra that can handle real-time data and streaming workloads at scale on AWS.
Throughput and Latency
Astra DB delivers up to 8X to 15X higher throughput and request responses up to 12X faster with ultra-low latency on billions of vectors.
Relevance of Vector Search
Astra DB can provide up to 18% more relevant vector search results.
Immediate Data Availability
Powered by Apache Cassandra, Astra DB makes all data, including vectors, available immediately with zero delay.
Ecosystem Integrations
Astra DB provides powerful data pipelines and complete ecosystem integrations to quickly build Generative AI applications on real-time data.
Multi-model Capabilities
Build modern apps with search, JSON, TimeSeries, Bloom filters, and Graph, and more.
Scalability and Performance
Deploy multiple Redis instances on a single cluster node, ensuring operations at scale with up to 99.999% uptime SLA.
Disaster Resilience
Protect against data loss with Active-Active geo-replication.
Cost-effective Architecture
Save on infrastructure costs and lower total cost of ownership with Auto Tiering and efficient design.
Vector Database
Redis Cloud's seamless integration with Amazon Bedrock empowers Generative AI development. Redis Cloud improves GenAI response accuracy and delivers low-latency, high-throughput capabilities. Redis is also a versatile vector database for semantic caching.
Standard contract
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Customer reviews
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
Leave a comment0 comments
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.
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
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.