AxonIQ Cloud
AxonIQ Cloud is simply a cloud-based version of Axon Server. It makes it easy to connect your Axon Framework applications to Axon Server. You just create your workspace, choose contexts, and bind your applications with the provided configuration to start using Axon Server.
You can choose different context types with different prices. The price consists of a monthly base fee and a price per message. The more messages you use, the less you pay per message!
Shared Cluster
On Google Cloud
Private Cluster
Self service
Custom Cluster
Made to fit
Pricing indicator
Learn more
The pricing is based on the region: "Google - Eemshaven, Netherlands, Europe (europe-west4)"
Your context
- A Developer context is created on 1 Axon Server node for development purposes. This context is free and its data will be deleted after 14 days.
- A single node context is created on 1 Axon Server node. As there is only 1 node, availability is not guaranteed by system redundancy.
- A Multi-zone context is created on 3 Axon Server nodes for small production workloads.
If you are interested in a different region you may request your preferred region in our Feedback form. We will make all the necessary efforts to make that region available to you.
Costs, fees, charges and payment schedule
Shared Cluster: The cost per context consists of a base fee for the type of context chosen and the number of messages used.
The first 150,000 messages are free, for more messages a volume pricing model is applied (the more messages you process the lower the price per message will get).
We’ve created our Pricing Indicator to help you estimate your solution costs.
Charging starts after you create a paid context. On the first day of each month, an invoice will be generated for the prior month. You’ll receive invoices by email.
Why Private Cluster?
When using a shared cluster your data is not shared with others; however, if you have other more noisy neighbours using more CPU and memory then you may experience slower transactions and not enough space for your data. Therefore, for larger, more critical applications we recommend using a Private or Custom Cluster.