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DEGoogle Cloud is built on many open technologies, which makes a lot of workflows straightforward to move. Google-specific services take more planning, but they also have proven migration paths. That’s why we start by identifying dependencies.
2Which services do you use?
We've ticked a typical setup to start with. Change it to match yours, then check where each service lands.
Your portability profile
Category 1: Ready to move directly
Widely supported technology. Moves with proven methods and little disruption.
Category 2: Move with adjustments
European equivalents exist. Some changes needed, but the effort is predictable.
Category 3: Deeply embedded
Tied closely to one provider. Needs a deliberate call: replace, rebuild or leave it where it is.
Not a dealbreaker. Every one of these services can be replaced or rebuilt. We help you plan the move step by step, so nothing here should stop you from changing providers.
Indicative, based on typical environments. Your configuration decides the real effort, and the Cloud Analysis assesses every service individually. Mappings last reviewed 20 October 2026. We don't earn commissions from any provider named here.
| Service | Category | European option | What changes |
|---|---|---|---|
| Compute Engine | 1 Ready to move directly | Compute instances (STACKIT, Exoscale, gridscale) | Images and configurations move with standard tools. A good moment to right-size. |
| Google Kubernetes Engine (GKE) | 1 Ready to move directly | Managed Kubernetes (STACKIT SKE, Exoscale SKS, gridscale) | Manifests and Helm charts move largely as they are. Provider-specific add-ons (load balancers, identity hooks) are swapped. |
| Cloud Run | 1 Ready to move directly | Containers on managed Kubernetes with Knative | Cloud Run is built on Knative, so containers run unchanged. The integrations around them need rework. |
| App Engine | 2 Move with adjustments | Containers on managed Kubernetes | Each app is containerized once. App Engine services and settings are replaced. |
| Cloud Functions | 2 Move with adjustments | Functions on Kubernetes (Knative) or plain containers | The code moves easily. Rebuilding the triggers and integrations takes most of the effort. |
| Cloud Storage | 1 Ready to move directly | S3-compatible object storage (STACKIT, Open Telekom Cloud, plusserver) | Cloud Storage has an S3-compatible API, so the data moves with standard tools. Apps using Google's client libraries switch libraries. |
| Persistent Disk and Filestore | 1 Ready to move directly | Block and file storage at the target provider | Moves together with the servers that use it. |
| Cloud SQL | 1 Ready to move directly | Managed PostgreSQL, MySQL or SQL Server (STACKIT, IONOS, Open Telekom Cloud) | Standard engines with standard migration tools. Replication keeps the cutover window short. |
| Memorystore | 1 Ready to move directly | Managed Valkey or Redis (Exoscale, OVHcloud) | Same protocol, so this is usually a configuration change. |
| Firestore and Realtime Database | 3 Deeply embedded | Open document or relational database (MongoDB, PostgreSQL) | Real-time sync and security rules are rebuilt with open building blocks. We size the effort before anything moves. |
| Bigtable | 2 Move with adjustments | Apache HBase or a Cassandra-compatible store | Bigtable supports the HBase API, which eases the move. Schemas and access patterns are checked. |
| Spanner | 3 Deeply embedded | PostgreSQL, or a distributed SQL database | Global consistency is a Google-specific feature. Decide first whether you really need it. |
| Pub/Sub | 2 Move with adjustments | Apache Kafka or NATS | Messaging patterns map well. Client code changes. |
| Cloud Tasks and Workflows | 2 Move with adjustments | Job queue or workflow engine (Temporal, Argo Workflows) | Workflows are re-expressed in the new engine. |
| Apigee | 2 Move with adjustments | Open API gateway (Kong, Traefik) or Kubernetes ingress | Routes move over. Policies are rewritten. |
| Firebase Cloud Messaging (push notifications) | 2 Move with adjustments | Self-hosted push server in Europe (such as Gorush) sending to FCM and Apple | On most Android phones, push always travels through Google, wherever your backend runs. What moves is the sending side, and messages can be kept free of personal data. |
| Firebase Authentication and Identity Platform | 2 Move with adjustments | Provider-independent identity platform (Keycloak, Zitadel) | Users can be exported with their password hashes, so nobody has to set a new password. |
| Cloud IAM | 2 Move with adjustments | Access management of the target platform, managed as code | Policies are rewritten for the new platform, ideally as code in Terraform. |
| Secret Manager and Cloud KMS | 2 Move with adjustments | Provider KMS or OpenBao, with keys only you control | Secrets move easily. Keys are re-created and data is re-encrypted under them. |
| BigQuery | 2 Move with adjustments | ClickHouse at a European provider | Usually treated as its own migration project. Specialized features your reports rely on are checked upfront. |
| Dataflow | 2 Move with adjustments | Apache Beam on Flink or Spark | Dataflow runs Apache Beam, which also runs on open engines. Pipelines largely carry over. |
| Dataproc | 1 Ready to move directly | Apache Spark on managed Kubernetes | Open-source Spark and Hadoop jobs move with little change. |
| Vertex AI | 2 Move with adjustments | Open MLOps tooling (MLflow, Kubeflow) on European GPUs | Models usually stay the same. Training, deployment and monitoring are rebuilt around them. |
| Gemini API | 2 Move with adjustments | Sovereign AI platform with open or European models | Prompts and application logic stay. The model endpoint changes. |
| Firebase Hosting | 1 Ready to move directly | Static hosting or CDN at a European provider | Static sites move as they are. |
| Cloud CDN and Cloud DNS | 1 Ready to move directly | European CDN and DNS | Cache rules are recreated and zones export as standard files. Cutover is a DNS change. |
We deliberately left this list incomplete. Google Cloud covers well over a hundred services. Our Cloud Analysis maps out which ones are in your environment and how to migrate each one.
Data and analytics
For analytics and reporting, we often recommend open platforms such as ClickHouse, hosted by providers like STACKIT, Open Telekom Cloud, or plusserver. You’ll often reduce query costs while gaining more control over your data.
Backend, containers, and functions
Containers, Kubernetes workloads, and backend services move well to these platforms. The right choice depends on your architecture, compliance requirements, and budget.
Web applications and websites
Still running your company website, shop, or smaller apps on Google? You’ll get more for less at a specialized German provider. Mittwald handles web and content systems. IONOS offers solid cloud infrastructure with its own AI tools.
Our Cloud Analysis works out which platform fits which workflow, with a cost comparison against your current Google Cloud bill. You’ll find short profiles of all eight providers, from STACKIT to Mittwald, on our migration page →
We run the old and new platforms in parallel until the results match. Only then do we switch over. Migration is also a chance to simplify your data platform. We remove what’s no longer needed instead of carrying years of accumulated complexity into the new environment.
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Don’t worry, whatever it is, we’ve got you covered in our FAQ.
A straightforward application migration runs three to six months.
If a data platform sits at the core, budget six to fourteen months depending on scope, with the data analysis handled as its own dedicated phase. Our cloud analysis maps out the real timeline for your setup.
The models themselves usually stay exactly as they are and keep running on open tooling.
What changes is the infrastructure around them: training, deployment, monitoring. That also frees you to choose a different model down the line whenever the market shifts.
Short term, yes, there’s an adjustment period, and we won’t pretend otherwise.
Medium term, teams move just as fast on open tooling, and that expertise is far easier to hire for than Google-specific skills. We support the transition with training and hands-on work directly on your system.
No, just something to plan around.
Firebase’s login, data storage, and real-time features all map onto open building blocks hosted with European providers. Your users won’t notice a thing, and your developers gain full control over the environment.
Yes. Open data platforms like ClickHouse match, and often beat, typical analytics response times, and they run wherever you choose to host them.
Not every specialized feature has a direct equivalent, so we check upfront what your analytics workflows depend on.
Our Cloud Analysis maps your Google Cloud environment in four weeks at a fixed price, with a close look at data and AI services and a cost comparison against European providers.
