Sold by: ArangoDBÂ
ArangoGraph is the most scalable and complete cloud-based graph data and analytics platform. Graph, Document, Search, and ML for any Use Case - Fraud Detection, Supply Chain, Network, Traceability, Recommendations, and much more.
Overview
Powered by the ArangoDB graph database, ArangoGraph is a cloud-based graph data and analytics platform that uncovers insights in data that are difficult or impossible to obtain with traditional SQL, document, or even other graph databases - making it easier to drive value from connected data, faster. It offers a comprehensive set of data management and analytical tools - all united by a powerful query language that natively integrates graph, JSON data, search, and machine learning (ML). Supporting many use cases such as Fraud Detection, Cybersecurity, Customer360, and Supply Chain.
Fully-managed graph database-as-a-service, enabling advanced analytics and machine learning.
Advanced security features such as private endpoints, SSO, and audit logging.
Highly available with data replication, cloud backups (in multiple regions).
Only available for purchase via Private Offer Pricing customized by individual use case ** Public offers as listed will not be fulfilled **
For private offers or other needs, please contact cloud-sales@arangodb.comÂ
Highlights
- Fully-managed graph database-as-a-service, enabling advanced analytics and machine learning
- Advanced security features such as private endpoints, SSO, and audit logging
- Highly available with data replication, cloud backups (in multiple regions)
Details
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Delivery method
Deployed on AWS
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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.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
ArangoGraph Committed | Committed Subscription for an A32 OneShard Deployment in us-east-1 | $0.01 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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)Â .
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
Standard Support (9-5, business hours) is included with your subscription.
Support is accessible via the "Request Help" section of the ArangoGraph UI.
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.
Updated weekly
By ArangoDB
By Vesoft
By Websoft9
Top
100
In Databases, Analytic Platforms
Top
25
In Managed Services
Top
10
In Master Data Management
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Graph Database Technology
Native multi-model database supporting graph, document, and search data models with integrated query language
Machine Learning Integration
Built-in machine learning capabilities for advanced analytics and predictive modeling across various use cases
Security Architecture
Advanced security mechanisms including private network endpoints, single sign-on authentication, and comprehensive audit logging
High Availability Infrastructure
Distributed data replication with multi-region cloud backup and failover capabilities
Data Model Flexibility
Supports complex data relationships and interconnected data structures across multiple domains like fraud detection, cybersecurity, and supply chain
Graph Database Architecture
Advanced data sharding and compression technologies supporting billions of nodes and trillions of edges
Query Performance
Optimized query engine with parallel processing technologies enabling millisecond-level response times under high concurrency
High Availability Mechanism
Multi-replica storage with automatic failover and online backup capabilities for continuous service operation
Scalability Design
Modular architecture supporting both horizontal and vertical scaling to accommodate business growth
Data Security Framework
Comprehensive data encryption, granular access control, and detailed audit logging mechanisms
Graph Database Technology
Native support for Neo4j graph database with versions ranging from 4.4 to 5.26.5
Container Deployment
Docker-based infrastructure enabling streamlined application deployment and management
Platform Capabilities
GitOps-based self-hosting PaaS with integrated application store supporting multiple template deployments
Application Management
Web-based control panel for domain binding, HTTPS configuration, access control, and system monitoring
Infrastructure Compatibility
Cloud-native architecture supporting deployment on AWS with minimum requirements of 2 CPU cores and 4GB memory
Standard contract
No
Customer reviews
0 ratings
0 AWS reviews
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115 external reviews
Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
Amar K.
Flexible, High-Performance Database That's Easy to Use
Reviewed on Nov 20, 2025
Review provided by G2
What do you like best about the product?
Arango DB offers a great deal of flexibility. Its query language is straightforward and easy to grasp, making it accessible even for those new to the system. The performance remains strong, even when handling complex relationships, which adds to its appeal. Overall, I find it to be a very versatile database solution.
What do you dislike about the product?
The learning curve can be a bit steep at first, especially when you are building a new database.
What problems is the product solving and how is that benefiting you?
ArangoDB has helped me develop more quickly and maintain a simpler architecture. Overall, it saves time and reduces infrastructure overhead.
Ahemadraza P.
ArangoDB Delivers the Best All-Around Experience
Reviewed on Nov 06, 2025
Review provided by G2
What do you like best about the product?
The everything about it is the best everything is best
What do you dislike about the product?
Nothing to dislike about arango DB you cannot dislike it
What problems is the product solving and how is that benefiting you?
ArangoDB is a multi-model database, which means it supports document, graph, and key-value data models in a single engine. Because of that, it solves several common database problems that developers usually face when using multiple separate databases
Financial Services
Flexible and Powerful, But Not Without a Learning Curve
Reviewed on Sep 23, 2025
Review provided by G2
What do you like best about the product?
It lets you work with documents, graphs, and key-value pairs in one engine, without needing separate databases or complex integrations. This flexibility simplifies architecture and boosts performance for applications that require mixed data models. The built-in query language, AQL, is also powerful and intuitive, making complex queries feel clean and readable.
What do you dislike about the product?
Learning curve can be steep for newcomers
What problems is the product solving and how is that benefiting you?
ArangoDB solves the problem of needing multiple databases for different data models.
anusha g.
Arango- Great database that serves multiple purposes
Reviewed on Jun 20, 2025
Review provided by G2
What do you like best about the product?
Unique ane multiple model database where everything is access using just one query.
User interface is pretty good and it makes it very easy to navigate and analyse also debugging if any issues.
AQL is soo quick to learn and leads Arango to be convenient platform.
User interface is pretty good and it makes it very easy to navigate and analyse also debugging if any issues.
AQL is soo quick to learn and leads Arango to be convenient platform.
What do you dislike about the product?
Support team needs to be little more proactive. They are doing a great job but prompt replies are missing.
What problems is the product solving and how is that benefiting you?
Multi model support of Arango db allowed me to integrate multiple data models in a single query. It is great suited for complez requirements.
Financial Services
Efficient, Scalable, and Developer-Friendly
Reviewed on Apr 28, 2025
Review provided by G2
What do you like best about the product?
Seamlessly handles graph, document, and key-value data in one powerful engine
What do you dislike about the product?
Steep learning curve and limited community support for complex queries
What problems is the product solving and how is that benefiting you?
ArangoDB solves the challenge of managing multiple data models separately by combining graph, document, and key-value storage in one system. This flexibility saves time, reduces infrastructure complexity, and allows me to design more efficient and scalable applications without juggling multiple databases.