AWS Marketplace: Neo4j Aura Professional

Overview

Neo4j Aura Professional on Amazon Web Services (AWS) empowers developers and data scientists to quickly build scalable, AI-driven applications and analyze big data with algorithms. 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.

Neo4j AuraDB is a fully managed graph database as a service for developers building graph-powered applications on AWS. 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.

The Professional Edition of Neo4j AuraDB is optimized for small to medium scale applications in advanced development or production environments.

Learn more about Neo4j AuraDB - https://neo4j.com/cloud/platform/aura-graph-database

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. Data scientists can analyze relationships using a library of 65+ pre-tuned algorithms, data preparation techniques, and graph-native ML to improve models and predictions. You can scale hundreds of billions of nodes and relationships and integrate with your existing data science tools and workflows to ensure you have a fast path from proof of concept to production.

Learn more about Neo4j Graph Data Science - https://neo4j.com/product/graph-data-science/

About Neo4j, Inc. Neo4j is the world's leading graph data platform. We help organizations capture the rich context of the real world that exists in their data to solve challenges of any size and scale. Neo4j delivers real-time transaction processing, advanced AI/ML, intuitive data visualization, and more.

Highlights

Fully-managed graph database-as-a-service supporting flexible property graph data model and Cypher query language

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Neo4j

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.

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Pricing

Neo4j Aura Professional

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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.

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)

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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.

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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) .

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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.

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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

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Aura Support Portal

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Tutorials and documentation

Quickly get started with Neo4j AuraDB on AWS - https://neo4j.com/docs/aura/auradb Quickly get started with Neo4j AuraDS on AWS - https://neo4j.com/docs/aura/aurads

This is a fully managed service with no SLA guarantee. Support and the Knowledge Base for Neo4j Aura are available on the Neo4j Aura Support Portal -

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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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Product comparison

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Accolades

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In Data Analytics, ML Solutions

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In Databases, Generative AI

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In Databases, Databases & Analytics Platforms, Generative AI

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Overview

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AI generated from product descriptions

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

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

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.

Contract

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Standard contract

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Ratings and reviews

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1 ratings

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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

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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

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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

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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.

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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.

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