FME Cloud: Data Integration hosted safely in the cloud
FME Cloud is a hosted deployment option for FME Server. Save time on set-up and configuration.
If you don’t have the hardware or resources to support FME Server, then FME Cloud is the best solution for you! It is possible to use FME as a pay as you go service, so only pay for what you need.
5 reasons to choose FME Cloud
Scale Up or Down Easily
With FME Cloud you can easily scale up your FME power and add more cores and RAM. In that way you always have the right amount of processing to deal with your data. With more engines, you’ll be able to complete your integration tasks faster.
Flexible Pricing Model
Keep control on your costs with the flexible FME Cloud Pricing Model. Pay by the hour with rates dependent on your instance size. You can upgrade or downgrade your requirements anytime, so you always pay for what you need. Want to save even more? Then choose our annual subscription for a 40% discount.
No Hardware Requirements
With FME Cloud you don’t have to worry about hardware anymore. You’ll be able to have the FME Server ready to use in just a moment. Using FME Cloud to deploy FME Server allows you to put all your efforts into focusing on your data and analysis needs.
Integrated Alerts and Monitoring
Always be in control on conditions that could impact the uptime and performance of your instance with alerts directly in FME Cloud. You can set these alerts easily, so you can optimize performance and deliver a high level of uptime.
Unlimited Engines
You can access an unlimited amount of additional engines with FME Cloud. And at no extra cost! Just process multiple jobs at the same time and keep all your data organized, cleaned, and ready to use.
Order your FME Cloud License
If you purchase FME through Tensing, you benefit from a perpetual license. Below prices are for a one-time purchase. In addition, we provide maintenance in the first year after purchase. Please note, to activate Server and Cloud environments, you need at least one Desktop license to develop your workspaces.
The pricing of FME Cloud knows two models: the pay-as-you-go model and the annual subscription. Both models are designed to save you money. Below you'll find a summary of both models so you can decide which model suits best for your organization.
To help you decide and advise which option is best for you, please contact us by fill out the form. Within 24 hours you will receive a tailor-made advice from one of our FME experts. 
FME Cloud Pricing - Hourly Rate (Pay as you Go)
An FME Cloud instance is a server running in Amazon Web Services with FME Server running on it. You can choose 5 Pay-As-You-Go instance sizes.
| Starter | 2 cores | Unlimited Engines* | 4GB RAM | € 0.90 / hour |
| Standard | 2 cores | Unlimited Engines* | 8GB RAM | € 1.50 / hour |
| Professional | 4 cores | Unlimited Engines* | 16GB RAM | € 2.80 / hour |
| Premium | 16 cores | Unlimited Engines* | 64GB RAM | € 6.00 / hour |
| Enterprise | 48 cores | Unlimited Engines* | 192GB RAM | € 10.00 / hour |
FME Cloud Pricing - Annual Subscription (40% savings)
An FME Cloud instance is a server running in Amazon Web Services with FME Server running on it. You can choose 5 Pay-As-You-Go instance sizes.
| Starter | 2 cores | Unlimited Engines* | 4GB RAM | € 4.300 / year |
| Standard | 2 cores | Unlimited Engines* | 8GB RAM | € 7.500 / year |
| Professional | 4 cores | Unlimited Engines* | 16GB RAM | € 14.400 / year |
| Premium | 16 cores | Unlimited Engines* | 64GB RAM | € 30.000 / year |
| Enterprise | 48 cores | Unlimited Engines* | 192GB RAM | € 50.000 / year |
Besides these costs there can be additional costs for data transfer and storage. Data transfer and storage costs are only high when processing and storing large volumes of data. The default of €7 per month are suitable in most cases.
You can choose for a managed support plan instead of the included standard plan.
* Additional engines allows you to process jobs in parallel. You can add as many engines as you want, but keep in mind that performance for larger jobs may be constrained by hardware, we therefore recommend starting with one engine per core.
