What is Orbital?
Orbital serves as a data gateway that seamlessly connects various data sources including APIs, databases, and event streams. The platform enables users to deliver secure, self-repairing integrations quickly without requiring extensive coding efforts.
It provides instant, on-the-fly orchestration across all connected data sources, automatically adapting as APIs and schemas evolve. Users can deploy custom APIs, event streams, and batch workflows in minutes while aggregating, enriching, and transforming data without writing infrastructure code.
Features
- Instant Orchestration: Automatically adapts to evolving APIs and schemas for on-the-fly data integration
- Universal Authorization: Scriptable field-level authorization policies applied consistently across all data sources
- Automated Data Catalog: Interactive searchable catalog with instant diagrams that maps all APIs and data sources
- Observability: End-to-end lineage tracking and detailed call traces for diagnosing performance bottlenecks
- Instant Data Endpoints: Deploy custom APIs, event streams, and batch workflows in minutes without infrastructure code
Use Cases
- Microservices orchestration across APIs, databases and serverless functions
- Event-based architectures with custom events for different consumers
- Rapid onboarding of external data feeds through declarative pipelines
- Building backend for frontend applications with integrated data sources
- Creating custom Kafka streams for event-driven systems
FAQs
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How does this compare to GraphQL?
Orbital provides broader integration capabilities beyond GraphQL by connecting multiple data source types including databases, event streams, and various API protocols with automatic adaptation to schema changes. -
Can I self host Orbital?
Yes, Orbital supports self-hosting with various deployment options including on-premises installations and air-gapped deployments for enterprise environments. -
What do you mean by 'Adapts Automatically'?
The platform automatically adjusts integrations as APIs and data schemas evolve, eliminating the need for manual updates to resolvers or glue code when source systems change.
