Documentation rendue
Cette page rend le Markdown et Mermaid du module directement depuis la source publique de documentation.
Overview#
The Data Connector Framework provides a comprehensive SDK and development platform for building custom data integrations when pre-built marketplace connectors do not meet specific requirements. Supporting 8 programming languages with standardized interfaces, built-in authentication handling, and deployment tools, the framework enables teams to develop production-ready connectors efficiently while maintaining security, reliability, and maintainability standards.
Key Features#
- Multi-Language SDK Support -- Build connectors in Python, Java, JavaScript/TypeScript, Go, C#, Rust, Scala, or Ruby using native SDKs tailored to each language's ecosystem and strengths
- Standardized Connector Interfaces -- Consistent source and destination connector APIs across all languages ensure compatibility with orchestration, monitoring, and marketplace infrastructure
- Authentication Framework -- Built-in support for 9 authentication methods including OAuth 2.0, API keys, client certificates, mutual TLS, and cloud provider identity services with automatic token refresh and credential rotation
- Configuration Validation -- Schema-based configuration validation with type checking, required field enforcement, constraint verification, secret masking, and clear actionable error messages
- Change Data Capture Support -- Built-in framework for real-time data replication using database transaction logs, enabling low-latency synchronization without impacting source system performance
- Schema Discovery -- Automatically discover and map source and destination schemas to simplify connector setup and reduce configuration errors
- Testing and Quality Assurance -- Integrated testing framework with unit test, integration test, and load testing utilities to ensure connector reliability before production deployment
- Error Handling and Retry Logic -- Built-in exponential backoff, circuit breakers, and health check patterns that handle transient failures and prevent cascade issues
- Secrets Management Integration -- Connect to enterprise secrets management solutions for secure credential storage and rotation
- Deployment Flexibility -- Deploy connectors locally with hot-reload during development, in containers, as serverless functions, or as managed services on the integration platform
Use Cases#
- Proprietary System Integration -- Build connectors for internal or legacy systems that lack pre-built marketplace integrations, using the SDK that matches your team's preferred programming language.
- ISV Integration Development -- SaaS vendors can create and publish connectors for their platforms, making it easy for customers to integrate with the broader data ecosystem.
- High-Performance Data Pipelines -- Use the Go or Rust SDK for performance-critical connectors that require low memory footprint, high concurrency, or safety-critical operation.
- Rapid Prototyping -- Quickly build and iterate on connector designs using the Python or Ruby SDK, with built-in testing utilities and hot-reload development workflows.
- Enterprise Authentication -- Connect to systems with complex authentication requirements such as mutual TLS, cloud provider identity services, or custom authentication flows without writing boilerplate security code.
Integration#
Connectors built with the framework automatically integrate with the Data Integration Marketplace, workflow orchestration engine, monitoring dashboards, and managed services infrastructure, providing a seamless experience from development through production operation.
Last Reviewed: 2026-02-05