You can implement Profisee on AWS as a platform-as-a-service (PaaS) deployment using Amazon EKS. For customers, a detailed deployment guide can be found in our support portal, which consists of the following steps to help you plan your deployment:

1. Preparing your AWS environment: Establishing prerequisites and performing the cluster deployment, including identifying team members, developing identity access management (IAM) policies and choosing deployment tooling.
2. Configuring your database: Basic considerations and information needed to provision your new or existing Amazon RDS instance of Microsoft SQL Server.
3. Setting Up file storage: How to configure file storage for your Profisee Platform instance using Amazon Elastic Block Store (EBS).
4. Defining your security strategy: Guidance on choosing a certificate source — whether through Let’s Encrypt or by providing your own certificate — and setting up your OIDC/OAUTH2 authentication providers like Azure Active Directory, Okta or Google.
5. Establishing cluster and network configuration: Basic requirements and data-gathering steps to prepare for your cluster and network configuration, including determining the Profisee container version, preparing your DNS settings, establishing your EKS cluster and node group requirements and setting your cluster node initial and maximum allocation.
6. Obtaining your license and ACR credentials: How to download the container image and use the Profisee Platform using your license and Azure Container Registry (ACR) credentials.

Deploying Profisee MDM on AWS provides a cloud-native approach to managing master data at scale. Azure MDM and hybrid environments may be a better fit for organizations that:

• Rely on Microsoft technologies such as SQL Server, Power BI or Dynamics
• Require tighter integration with on-premises systems and existing infrastructure
• Operate in environments that use cloud and legacy systems

Because we are fully containerized, deployments remain consistent across AWS, Azure and hybrid environments, making it easier to extend MDM without replatforming.

See how the Profisee Connector for Power BI makes it fast and easy to access clean, complete and accurate data.

Profisee is compatible with the following AWS solutions for customers deploying the platform as PaaS:

• Amazon Elastic Kubernetes Service (EKS)
• Amazon Elastic Block Storage (EBS)
• AWS Identity and Access Management (IAM)
• AWS Command Line Interface (CLI)
• Amazon Relational Database Service (RDS)
• Amazon Elastic Compute Cloud (EC2)

Yes, Profisee supports multi-cloud master data management by helping teams maintain consistent, governed information across systems in different cloud environments. You can centralize standards, enforce quality rules and manage key domains even as data moves across AWS, Azure and on-premises platforms.

By unifying data governance and stewardship, our platform helps reduce fragmentation across environments and ensures master data remains accurate and aligned across the business. Reducing fragmentation across cloud environments is especially valuable for teams working in mixed or evolving architectures.

Running AWS MDM typically involves four main cost areas: 

• Kubernetes nodes, database instances and supporting services
• Databases, backups and logs that grow over time
• Traffic across zones, regions and external systems
• Monitoring, scaling, maintenance and high availability

Costs often increase as a result of over-provisioned resources, always-on infrastructure and the time required to manage and maintain the environment. Profisee helps reduce this overhead with a cloud-based MDM model that supports more efficient scaling in AWS or through a SaaS option that offloads data management entirely.

Profisee connects master data across distributed AWS systems by centralizing key domains and synchronizing them across applications, databases and data pipelines. This model ensures that systems using services such as Amazon RDS, S3 or downstream analytics platforms work with the same consistent, governed data.

Using APIs, integrations and event-based data flows, our platform supports both batch and real-time updates between systems, allowing teams to maintain data consistency across AWS environments without relying on manual processes or point-to-point integrations.

Want to connect Profisee to your existing tools? Explore our integrations.

Teams have a high level of control over how they deploy and configure AWS master data management, particularly in a PaaS model. They can: 

• Define data infrastructure architecture and settings 
• Manage networking and security policies 
• Configure integrations with existing AWS services

This level of control lets teams tailor deployment to their requirements, including performance tuning, access management and internal master data governance standards. If you prefer less hands-on management, a SaaS model shifts much of the responsibility to vendors while still maintaining flexibility at the application level.

Profisee’s master data management on AWS supports governance in distributed environments by providing a single framework for defining standards, rules and stewardship across systems. Your team manages how it creates, updates and maintains master data, even when it spans multiple services and applications.

Through built-in workflows, role-based access and audit tracking, our platform helps ensure that your data remains accurate, consistent and compliant as it moves across AWS environments. Teams get greater visibility and control without relying on fragmented governance processes.