Deep Technical Comparison: Auvik vs Datto RMM

Auvik is offered exclusively as a cloud-based SaaS solution and does not provide a self-hosted deployment option. All network monitoring data is processed and stored in Auvik's cloud infrastructure, which means on-premises hosting is not supported.

Auvik requires continuous internet connectivity to communicate with its cloud platform; it does not support offline operation or local buffering of monitoring data. During internet outages, monitoring data collection pauses and resumes once connectivity is restored.

Auvik retains network monitoring data within its cloud environment but provides export options such as CSV and PDF reports for key metrics and configurations. However, there is no full raw data export or on-premises data ownership model, so data remains under Auvik's control.

Auvik offers a RESTful API primarily focused on read operations like fetching device and network data. The API has rate limits to prevent abuse, typically around 1000 requests per hour per account, and write operations are limited or unavailable depending on the plan tier.

Migrating to Auvik usually requires manual reconfiguration of network devices and re-establishing monitoring policies, as direct import tools for legacy configurations are limited. Teams should plan for a transition period to adapt workflows and validate monitoring coverage post-migration.

Datto RMM is strictly a cloud-based platform and does not offer a self-hosted deployment option. All monitoring, management, and automation tasks are handled via Datto's cloud infrastructure, which supports multi-tenant MSP environments. This design simplifies setup but means you cannot run the platform on your own servers.

Datto RMM agents require internet connectivity to communicate with the cloud platform for real-time monitoring and management. While some local automation scripts can run on the endpoint itself, most remote management features and data reporting depend on an active connection. Offline functionality is therefore very limited.

All monitoring data collected by Datto RMM agents is stored in Datto's cloud infrastructure. MSPs retain ownership of their client data, but it resides on Datto-managed servers. Datto complies with industry security standards, but organizations with strict data residency or privacy requirements should evaluate this cloud data storage model carefully.

Datto RMM provides a REST API for automation and integration, but it has some rate limits and scope restrictions to ensure platform stability. Certain advanced features and data points may not be exposed via the API and require use of the web interface or additional Datto products. Documentation advises planning API usage accordingly.

Datto RMM does not provide a comprehensive export or migration tool for moving endpoint configurations or monitoring data to other platforms. MSPs typically need to manually recreate policies and automation scripts elsewhere. Some basic reporting data can be exported, but full migration requires significant manual effort.