Data Residency & Sovereignty
Win the Deals That Require Data Sovereignty
European enterprise and public-sector buyers often require their data to stay in a specific country, under a specific jurisdiction, or with a provider they’ve approved. Tensor9 Cloud Adapter runs your existing product natively wherever that requirement points: an in-country region on AWS, Microsoft Azure, or Google Cloud, or a European provider like Scaleway, OVHcloud, or STACKIT, without a rewrite. Need it inside the customer’s own environment instead? Tensor9 BYOC delivers it there.
Every Customer Defines Sovereignty Differently
One buyer needs the data in-country. Another names the cloud and region. A third requires a European-owned provider. Each answer is a different deployment target, and your product runs on one.
Requirements Vary by Customer
Data residency, an approved-provider list, or a documented exit from a single provider: requirements differ by country, sector, and contract, and they can change at renewal.
Your Product Runs in One Place
Your product is built and operated on one cloud. When a customer’s requirement points to a different cloud, region, or provider, you have no deployment to offer.
Managed Services Don’t Carry Over
Your product leans on managed databases, queues, and object storage. Each target has its own versions with different APIs, so meeting the requirement the usual way means re-architecting the stack.
A Fork per Jurisdiction
Re-architecting for each country or provider leaves you maintaining a separate variant of your product for each one, and every release multiplies the work.
Run Where Your Customer Requires, Without the Rewrite
Cloud Adapter runs your existing product natively on the cloud and region your customer requires, whether that’s a hyperscaler or a European provider. Your code, SDKs, and Terraform stay exactly as they are.
Hyperscaler or European Provider
Run in an in-country region on AWS, Microsoft Azure, or Google Cloud, or on Scaleway, OVHcloud, or STACKIT, in an account held by you, a local partner, or your customer.
Native Services, Same Calls
Your app, SDKs, and Terraform keep calling the APIs they were written against. Each call is served by the target’s own managed services: Kubernetes, Postgres, Redis, and object storage.
Provider-Specific Services, Covered
Where a service has no direct equivalent on the target, a compatibility layer presents the API your app already uses over the provider’s native backend, for the API surface your application calls.
One Codebase, Every Jurisdiction
The same code and the same Terraform run on every target, so adding a jurisdiction is a new target, not a separate per-country fork to maintain.
Data Stays Where It Must
Your application and its data run entirely in the target cloud and region. The Tensor9 endpoint runs there too, alongside your app, so every request is served in place.
Or Deliver Into the Customer’s Environment
When the customer wants your product inside their own VPC, data center, or air-gapped network, Tensor9 BYOC deploys it there from the same codebase, with the customer in control of access.
How Tensor9 Works
Point, Run, Stay In-Jurisdiction
Point the SDKs, CLI, and Terraform your product already uses at the Tensor9 endpoint running in the target cloud and region. Each call is served by that provider’s native services, with a compatibility layer where a service has no direct equivalent. Your product runs where your customer’s requirement says, in an account held by you, a partner, or your customer. When the deployment has to sit inside the customer’s own environment, Tensor9 BYOC delivers the same product there.
Frequently Asked Questions
Tensor9 Cloud Adapter runs your existing product natively on any cloud and region, including hyperscaler regions and European providers, without a rewrite. Your software keeps calling the cloud APIs it was built against, and Tensor9 serves them with the provider’s native services, so a data-residency requirement becomes a new target instead of a re-architecture. Tensor9 BYOC goes a step further and delivers your product into the customer’s own environment.
- European enterprise and public-sector deals where your customer requires the data, and the software touching it, to stay under their own jurisdiction.
- GDPR, DORA, and EU AI Act obligations that call for a specific location, provider, or exit plan.
- Buyers you can’t reach today because your product only runs on one cloud.
Often, yes. Many requirements are about where data is stored and processed, and an in-country region on AWS, Azure, or Google Cloud meets them. Some buyers require a European-owned provider instead. Tensor9 runs your product on either, so your customer’s requirement decides the target, not your architecture.
With Cloud Adapter, regions on AWS, Microsoft Azure, and Google Cloud, and European providers like Scaleway, OVHcloud, and STACKIT, where your calls are served by the provider’s own managed services. With Tensor9 BYOC, a private VPC in your customer’s own account, on-prem data centers, and air-gapped facilities.
Where the target has no direct equivalent, a compatibility layer presents the DynamoDB or SQS API your code already calls over the provider’s native backend, for the API surface your application uses, so your SDK calls stay unchanged. Behavior differences for each mapping are documented up front.
No. Your app keeps calling the same APIs, and Tensor9 serves each one on the target, so you run where your customer requires without maintaining a separate codebase per country.
Getting your live dataset into the target region and keeping it consistent through cutover is separate work you own. Tensor9 runs your product on the target; you plan and run the data move.
No. The Tensor9 endpoint runs inside the target cloud and region, alongside your app, in an account held by you, a partner, or your customer, and serves each call there. Your customer’s data and the requests that touch it stay where the requirement says.