Cloud Datastore as the foundation of your system – not as an infrastructure component without business logic.
Connecting Google Cloud Datastore – Customized and Seamless
Google Cloud Datastore (Firestore in Datastore Mode) is a fully managed NoSQL document database in the Google Cloud – serverless, automatically scaling, and optimized for applications with high read loads and flexible data models. For operationally complex companies, Cloud Datastore is relevant because flexible, serverless data storage forms the basis for adaptable, scalable systems – without infrastructure management. We integrate Google Cloud Datastore into customized enterprise software. No pre-built standard connection, no plug-in with limitations – but a tailored connection that fits your system architecture precisely.
What We Connect
| Integration Options | |
|---|---|
| 🔄 | Use Datastore as a data layer for application components of your Operating System |
| 📊 | Provide data from Datastore for analysis and reporting in the central system |
| 📄 | Model flexible data structures for changing business processes – without schema migration |
| ⚡ | Event-driven workflows via Cloud Functions and Pub/Sub – e.g., trigger subsequent processes on data change |
| 🔗 | Continuous connection to Google Cloud services, APIs, analytics platforms, and other databases |
How the Integration Works
We work directly with the Google Cloud Datastore API and the Google Cloud Client Libraries. The integration is developed as an integral part of your Operating System – no third-party middleware, no workaround. What this specifically means:
| 🏗️ | Custom connection – data model and architecture precisely tailored to your requirements |
| 🔄 | Automatic data flow – database operations are processed in an event-driven manner |
| 🗄️ | A single data foundation – Cloud Datastore is an integral part of your central architecture |
| 🛡️ | Secure and GDPR-compliant – EU region selectable, encrypted, IAM-controlled, and documented |
Typical Use Case
A SaaS service provider with 40 employees develops an Operating System whose data model evolves regularly – new customer fields, new process types. At the same time, the application must handle high read accesses with low latencies.
Through Cloud Datastore, the data model becomes flexible. New fields can be added without compromising existing data. The serverless architecture scales automatically. Cloud Functions react to changes in real-time – a new order triggers the dispatch process, a status change triggers a notification. The system grows with the business.
Part of Your Operating System
Google Cloud Datastore is a serverless, automatically scaling NoSQL database – built for flexibility and performance without infrastructure management. But as an infrastructure component, it remains invisible. Only as an integral part of an Operating System does Cloud Datastore unfold its full benefits – when the data model evolves with the business and data changes drive processes in real-time. We develop AI-powered Operating Systems for operationally complex companies. Google Cloud Datastore is a building block of that.