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Extend connector library using our powerful custom connector SDK
At a high level, data integration is the process of combining data from disparate source systems into a single unified view. This can be accomplished via manual integration, data virtualization, application integration, or by moving data from multiple sources into a unified destination. These data integration methods are discussed below.
Frequently Asked Questions
Yes. We specialize in connecting external services — including logistics APIs, payment gateways, CRMs, and cloud platforms — to your existing software infrastructure. Whether it's a legacy monolith or a modern microservice setup, we design integrations that are secure, scalable, and maintainable.
We've worked with everything from modern RESTful APIs with Swagger to outdated SOAP interfaces with little documentation. Our team reverse-engineers unclear endpoints, handles retry logic, and builds smart fallback layers to ensure resilience even when upstream services are unreliable.
Yes. We often develop abstraction layers or API gateways that unify access to multiple internal and external systems. This reduces front-end complexity, improves security, and allows for better versioning and monitoring across all integrations.
We implement token-based authentication (OAuth2, JWT), API key management, IP whitelisting, rate limiting, and encryption for sensitive data. Security best practices are enforced at every layer — from request validation to secure storage of secrets.
Absolutely. We support webhooks, message queues (like RabbitMQ or Azure Service Bus), and event-driven patterns for systems that require real-time updates or asynchronous workflows. This is especially valuable for logistics, payments, and notification systems.
