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).
For private offers or other needs, please contact cloud-sales@arangodb.com
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
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
|---|---|---|
ArangoGraph Committed | Committed Subscription for an A32 OneShard Deployment in us-east-1 | $60,000.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
Legal
Vendor terms and conditions
Content disclaimer
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.
Customer reviews
Excellent
Easy to setup and integrate
Great graph database and awesome alternative for SQL
a perfect match for our modelling use case, complete db solution with unique properties
No more syncing with relational dbs when you need those capabilities.
Very friendly GUI with easy install and upgrade procedures that can be very simple to maintain. The GUI allows data exploration and analysis as well as query debugging in-place.
Very humble resource footprint, it is a 300MB C++ "rocket".
Excellent performance with many ways to improve and control it.
The Arango Team are all good people and are nice to meet and work with, they all are "clued in" and you do not get that offshore support feeling.
Database-side triggers were promised for years but not there.
Locking mechanics may be further improved (and I see they are).
Some recent GUI changes are not always for the better.
Enterprise Support could be more responsive to medium and low priority cases (should take [much] less than a year, SLA need more enforcement)
Creating and Maintaining a Dynamic, Programmatically Accessible Model of the whole Network Topology and State as one Unified Landscape, without Boundaries and Visibility Limits,
open for traversal and analysis by all an any internal teams, for use cases of failure analysis, resource state detection, service integrinty (what-if) and change management in the Network Assurance usage patterns.
ArangoDB is flexible but still not so fast on complex tasks.
- Support types of joining
- Integrated web UI is useful
- ArangoSearch View is easy to use and helpful in retrieving data from multiple collections, including exact and fuzzy searching
- Documents do not describe how the index works clearly
- Graph traversal is not fast enough at times when filtering on edges. I needed to use 2 for loops (traverse 2 times) instead of multi-level traversing for better performance.
Cyber Threats data looks intuitive when being stored in ArangoDB