How does Nango compare to building integrations from scratch with libraries like Axios?

Nango abstracts away auth, retries, and scaling, whereas Axios is just an HTTP client. Nango is better for production-grade integrations with multiple APIs, as it handles token management, rate limits, and multi-tenant isolation automatically, but adds complexity for simple use cases.

How to set up Nango for syncing data between Salesforce and a PostgreSQL database?

Use Nango's Functions to write TypeScript logic that accesses Salesforce via the proxy and writes to PostgreSQL. The AI builder can generate initial code from a description, and you can deploy it to Nango's runtime for scheduled execution with built-in retries and observability.

What happens if an API Nango supports changes or breaks?

Nango's open-source community can contribute updates, and the platform handles retries and error logging. However, you may need to manually adjust functions or wait for fixes, as the README mentions relying on community contributions for new APIs.

Can Nango handle real-time webhooks from multiple sources?

Yes, Nango supports webhook processing with built-in infrastructure for receiving and handling events reliably, as listed in the use cases. It can manage multiple webhook sources concurrently with per-tenant isolation and automatic retry mechanisms.

Is Nango suitable for small startups with limited budgets?

Nango offers a free tier for Cloud and limited free self-hosting, but scaling to production volumes requires paid plans. For startups, the initial setup and TypeScript requirement might be a barrier if resources are tight, though the AI builder can reduce development time.

How to debug Nango functions when they fail in production?

Nango provides observability tools in its runtime, including logs and error tracking. You can use the built-in testing framework to simulate failures, but deep debugging may require familiarity with the platform's internals and TypeScript code, which can be time-consuming.

Nango — Open-Source Product Integration Platform

What is Nango?

Nango is an open-source platform for building product integrations that supports over 700 APIs. It allows developers to write integration logic as TypeScript functions or generate them with AI, while handling authentication, execution, scaling, and observability. The platform solves the complexity of connecting products with external APIs and managing integration infrastructure at scale.

Target Audience

Developers and engineering teams building product integrations with external APIs, particularly those working on SaaS applications, AI agents, or data synchronization pipelines. It's also suitable for companies needing to manage OAuth flows, API credentials, and multi-tenant connections.

Value Proposition

Developers choose Nango because it combines AI-generated integration code with full human control and type safety, while providing production-grade infrastructure that handles scaling, retries, and rate limits. Unlike black-box solutions, it offers transparent, editable code alongside managed auth for hundreds of APIs.

Build product integrations with AI.

Use Cases

Best For

Building AI agents that need to interact with external APIs through tool calling
Implementing data synchronization between products for RAG pipelines or indexing
Processing webhooks from external APIs reliably with built-in infrastructure
Creating unified API layers that normalize multiple external APIs to a single schema
Writing and executing actions on behalf of users across different service providers
Managing per-customer configuration for integrations with customized behavior

Not Ideal For

Projects requiring integration logic in languages other than TypeScript, as Nango functions are exclusively TypeScript-based.
Simple, single-tenant applications with infrequent API calls, where Nango's scaling and multi-tenant features add unnecessary complexity.
Teams needing full, low-level control over OAuth flow implementation without abstraction layers or third-party runtimes.
Use cases where minimizing external dependencies is critical for compliance or cost, as Nango introduces a dedicated runtime and potential lock-in.

Pros & Cons

Pros

AI-Generated Code

Nango's AI builder creates readable, type-safe TypeScript functions from natural language, allowing developers to review, edit, and version control integration logic, as emphasized in the README.

Managed Auth Infrastructure

Handles OAuth, API keys, and token refresh for over 700 APIs with white-label flows and multi-tenant support, eliminating the need to build auth from scratch for each integration.

Production-Grade Runtime

Provides per-tenant isolation, elastic scaling, automatic retries, and rate-limit handling, proven by processing billions of API requests for companies like Replit and Ramp.

Open Source Flexibility

Fully open source under the Elastic License, with options to self-host or use Nango Cloud, ensuring adaptability to different deployment and compliance needs, including SOC 2 Type II.

Cons

TypeScript Lock-in

Integration functions must be written in TypeScript, which may not align with teams using other backend languages or preferring different programming paradigms, limiting flexibility.

Self-Hosting Complexity

The free self-hosting version has limited features, and managing the infrastructure requires additional overhead, as noted in the documentation about plan differences and configuration.

Runtime Dependency

Relies on Nango's runtime for function execution, which could lead to vendor lock-in and make migration difficult if requirements change or costs escalate.

Steep Learning Curve

While AI aids code generation, customizing advanced functions, understanding the proxy system, and debugging production issues require significant time and expertise beyond basic use.

Frequently Asked Questions

What is Nango?

Target Audience

Value Proposition

Use Cases

Best For

Building AI agents that need to interact with external APIs through tool calling
Implementing data synchronization between products for RAG pipelines or indexing
Processing webhooks from external APIs reliably with built-in infrastructure
Creating unified API layers that normalize multiple external APIs to a single schema
Writing and executing actions on behalf of users across different service providers
Managing per-customer configuration for integrations with customized behavior

Not Ideal For

Projects requiring integration logic in languages other than TypeScript, as Nango functions are exclusively TypeScript-based.
Simple, single-tenant applications with infrequent API calls, where Nango's scaling and multi-tenant features add unnecessary complexity.
Teams needing full, low-level control over OAuth flow implementation without abstraction layers or third-party runtimes.
Use cases where minimizing external dependencies is critical for compliance or cost, as Nango introduces a dedicated runtime and potential lock-in.

Pros & Cons

Pros

AI-Generated Code

Nango's AI builder creates readable, type-safe TypeScript functions from natural language, allowing developers to review, edit, and version control integration logic, as emphasized in the README.

Managed Auth Infrastructure

Handles OAuth, API keys, and token refresh for over 700 APIs with white-label flows and multi-tenant support, eliminating the need to build auth from scratch for each integration.

Production-Grade Runtime

Provides per-tenant isolation, elastic scaling, automatic retries, and rate-limit handling, proven by processing billions of API requests for companies like Replit and Ramp.

Open Source Flexibility

Fully open source under the Elastic License, with options to self-host or use Nango Cloud, ensuring adaptability to different deployment and compliance needs, including SOC 2 Type II.

Cons

TypeScript Lock-in

Integration functions must be written in TypeScript, which may not align with teams using other backend languages or preferring different programming paradigms, limiting flexibility.

Self-Hosting Complexity

The free self-hosting version has limited features, and managing the infrastructure requires additional overhead, as noted in the documentation about plan differences and configuration.

Runtime Dependency

Relies on Nango's runtime for function execution, which could lead to vendor lock-in and make migration difficult if requirements change or costs escalate.

Steep Learning Curve

While AI aids code generation, customizing advanced functions, understanding the proxy system, and debugging production issues require significant time and expertise beyond basic use.

Frequently Asked Questions

Nango

What is Nango?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

Nango

What is Nango?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?