CONTEXT-ENRICHED ANALYTICS
Graph Data Science as a Service
The world’s only fully managed graph data science engine that improves predictions and ML models at scale to get data science projects to production faster.
New to Graph Data Science?
Neo4j Graph Data Science is designed to quickly take your graph analysis from proof of concept to production. You can now answer business critical questions without interrupting your data pipeline.
Read the AuraDS Product Brief
Built for Data Scientists
Get started quickly with familiar open source languages and libraries to deliver the actionable insights you need.
Make Better Predictions
Use your own data sources, plus our 65+ pretuned graph algorithms, to uncover hidden data relationships for smarter predictions.
Easy Data Integration
Our native connectors and extensions seamlessly operate with your existing data stacks and data pipelines.
Production Ready
Focus more on getting data science projects adopted and less on database administration with fully managed AuraDS.
Fully Managed
Graph Analytics and ML Engine
AuraDS is a fully managed graph analytics and ML engine that handles database administration needs so data scientists are free to focus on their primary projects for faster results.
AuraDS is offered in two flavors: AuraDS Professional and AuraDS Enterprise.
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Run between 8 and 96GB of RAM. Includes storage that is equal to double the RAM.
Save 80% when instances are paused. Resume whenever you’re ready to do work.
Eliminate maintenance hassles with fully managed updates and security patches.
Collaborate and work seamlessly across Neo4j Aura, cloning data between AuraDB and AuraDS.
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“We chose Neo4j Graph Data Science on Aura because it is a completely managed, cloud-based infrastructure combined with an elegant and user friendly set of tools with an extensive library of production-ready data science algorithms that gives us confidence in our platform and allows us to focus on our data and application development.”
Matthew Bernardini, CEO
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"Our transition from Graph Data Science on prem to the as-a-service offer was seamless. With such a small team it is a huge benefit not to have to manage the instance ourselves and do the devops and IT management pieces - AuraDS takes care of all of that so we can focus on solving problems for our customers."
Daniel Brady, CEO
AuraDS Professional Pricing*
AuraDS pricing is calculated based on the RAM per hour needed for your workload and whether the instance is running or paused.
- For running instances, the rate is $0.125 USD per GB per hour
- For paused instances, the rate is $0.025 USD per GB per hour
| CPU | Ram | Storage | Running Instance $USD per Hour* |
Paused Instance $USD per Hour* |
|---|---|---|---|---|
| 2 | 8GB | 16GB | $1.00 | $.20 |
| 3 | 16GB | 32GB | $2.00 | $.40 |
| 5 | 24GB | 48GB | $3.00 | $.60 |
| 6 | 32GB | 64GB | $4.00 | $.80 |
| 10 | 48GB | 96GB | $6.00 | $1.20 |
| 12 | 64GB | 128GB | $8.00 | $1.60 |
| 20 | 96GB | 192GB | $12.00 | $2.40 |
Example Calculation
Running Instance
As an example, if you create an 8 GB instance and have it running for 4 hours, that’s 32 GB-hours at the “running instance” rate of $0.125.
| 8 GB | x | 4 hours | = | 32 GB-hours |
| 32 GB-hours | x | $0.125 USD | = | $4.00 USD |
Paused Instance
If you then pause that 8GB instance for 10 hours, that’s 80 GB-hours at the lower “paused instance” rate of $0.025.
| 8 GB | x | 10 hours | = | 80 GB-hours |
| 80 GB-hours | x | $0.025 USD | = | $2.00 USD |
Subtotal
For an 8 GB instance that was running for 4 hours and paused for 10 hours, the total cost comes out to $6.00*.
= $6.00 USD*
Billing and Payments
Provide billing and credit card information when creating your first instance.
Your card will be charged at the beginning of each month for the prior month’s usage.
An invoice will be emailed to you as well as be available via the AuraDS console.
What's Next?
Interested in AuraDS?
Visit our Graph Data Science pricing and features page
to select the best fit for your needs.
Speak to a Specialist
Contact an AuraDS Specialist to learn more about
pricing and deployment options.