Question 1

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

Accepted Answer

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.

Question 2

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

Accepted Answer

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.

Question 3

What happens if an API Nango supports changes or breaks?

Accepted Answer

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.

Question 4

Can Nango handle real-time webhooks from multiple sources?

Accepted Answer

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.

Question 5

Is Nango suitable for small startups with limited budgets?

Accepted Answer

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.

Question 6

How to debug Nango functions when they fail in production?

Accepted Answer

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

What is Nango?

Overview

Use Cases

Best For

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Pros & Cons

Pros

Cons

Frequently Asked Questions