PaaS – The Optimal Deployment model for MDM
Profisee MDM is the first platform to enable true PaaS deployment.
The Platform as a service (PaaS) Advantage
For the first time, an MDM deployment in the cloud can take advantage of the scalability and lower cost of cloud deployment while enabling the critical flexibility required by the data model as well as seamless data access for a multi-domain MDM solution.
Flexible Data Model
You have full control over the solution, including its configuration and usage.
Unlimited Data Access
You aren’t restricted by API limits or throughput.
Deploy Profisee in minutes whenever you’re ready to start.
Minimal maintenance cost/effort
Simple automated upgrade process using containers.
Pay only for what you use
Scale Profisee up/down or even off as needed. Pay as you need.
How PaaS Compares to Other Deployment Models
On Premise – For years the only option. It give a lot of flexibility but puts all the responsibility on the customer and that’s a lot of work!
SaaS – The first cloud deployment model, true software-as-a-service offering were great for multi-tenant applications where the usage can be pre-determined, but for multi-domain MDM where data models and data access cannot be pre-determined, they lack the required flexibility
IaaS – The next evolution, and where many MDM vendors are today was Infrastructure-as-a-Service. In this model, the MDM software is deployed on a cloud server to take advantage of scalable computing power, but the customer was still required to install, configure and maintain the software so in this model, the ‘promise’ of cloud deployment was never fully realized and although it has become a popular method, many customers find the overall cost saving to be minimal due to high ongoing maintenance costs.
PaaS – MDM, especially true multi-domain MDM, has a particular need for a highly flexible data model and seamless access to complex data. The core advantage of a PaaS architecture is that for the first time, we can attain the appropriate balance between the required flexibility of the data and applications layers, with the scalability and cost-performance offered by the cloud.