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Automation Integration · head to head

Mage AI vs Nango

Mage AI logo

Mage AI

Automation Integration

Data pipeline platform with AI-generated workflows and governance

From
$100/month
Rated
-
Nango logo

Nango

Automation Integration

Open source unified API and OAuth infrastructure for product integrations, licensed under Elastic License 2.0

From
Free
Rated
-

The short version

  • Only Nango has a free tier, so it costs nothing to try first.
  • Each has a real cost: Mage AI usage-based pricing lacks transparency for cost forecasting; Nango the licence is Elastic License 2.0, which is source available rather than OSI open source, and it forbids offering Nango to third parties as a managed service, so anyone planning to resell or embed it in a platform for their own customers has a genuine legal problem.
  • They diverge on capability: Mage AI covers AI-generated workflows, Nango covers Managed OAuth.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Mage AI and Nango actually diverge.

Attributes where Mage AI and Nango differ
AttributeMage AINango
Starting price$100/monthFree
Pricing modelUsage-based cloud platformPer connection per month
Free tierNoYes
PlatformsCloud, Hybrid, Private Cloud, On-PremisesWeb, Linux, Docker

Identical on both: user rating (Not yet rated), category (Automation Integration).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Mage AI

  • AI-generated workflows
  • Pipeline building
  • Data validation
  • Workflow orchestration
  • Automatic recovery
  • Reusable components
  • Governance controls

Only in Nango

  • Managed OAuth
  • Pre-built integrations
  • Custom syncs and actions
  • Incremental sync
  • Rate limit and retry handling
  • Webhooks
  • Self-hosting
  • Unified models

What people use each for

The jobs each tool is most often brought in to do.

Mage AI

  • Building and orchestrating data pipelines with visual interfacenot Nango
  • Automating ETL workflows with AI assistancenot Nango
  • Validating data quality across transformationsnot Nango
  • Distributing transformed data to multiple destinationsnot Nango

Nango

  • A SaaS product that needs to ship twenty customer-facing integrations without hiring a team to maintain OAuth and token refresh for eachnot Mage AI
  • A team that needs a niche or internal API integrated, which closed unified API vendors will not build for themnot Mage AI
  • A company with data residency or security constraints that must self-host the integration layer rather than send customer tokens to a vendornot Mage AI
  • An engineering team replacing a homegrown integration service whose main cost is silent token expiry and rate limit failures in productionnot Mage AI

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Mage AI

  • Usage-based pricing lacks transparency for cost forecasting
  • Limited standalone pricing details on website
  • Requires contact for enterprise deployment options
  • Smaller ecosystem compared to established competitors
  • May require significant customization for complex data models

Nango

  • The licence is Elastic License 2.0, which is source available rather than OSI open source, and it forbids offering Nango to third parties as a managed service, so anyone planning to resell or embed it in a platform for their own customers has a genuine legal problem.
  • Pricing is per connection where a connection is one authorised end-user account, so cost scales linearly with your customer base and a product where each user links several services multiplies quickly beyond what a headline plan price suggests.
  • Pre-built integrations vary in depth, and a connection that exists is not the same as a connection that covers the endpoints and objects your feature needs, so each one must be verified before it is designed into a roadmap.
  • Custom syncs are written in TypeScript and run in Nango model, which means integration logic lives in a vendor runtime and migrating away later requires rewriting it rather than lifting it out.
  • Self-hosting removes the vendor from the data path but transfers operational responsibility for a component that holds customer OAuth tokens, and few teams appreciate the security burden that comes with running that themselves.

Pricing, plan by plan

Mage AI

$100/month
  • Cloud$100/month
    • 1 development environment
    • Unlimited users
    • Usage-based infrastructure pricing
  • Hybrid Cloud$null/custom
    • Private data processing
    • Custom infrastructure
    • Contact sales
  • Private Cloud$null/custom
    • Complete isolation
    • Full infrastructure control
    • Contact sales
  • On-Premises$null/custom
    • Full local control
    • Enterprise deployment
    • Contact sales

Nango

Free
  • FreeFree
    • 10 connections
    • Pre-built integrations
    • Managed OAuth
  • Starter$50/month
    • 20 connections included
    • 1 USD per additional connection
    • Custom syncs and actions
  • Growth$500/month
    • 100 connections included
    • 1 USD per additional connection
    • Higher limits
  • Enterprise$undefined/month
    • Quoted
    • Custom connection volumes
    • Security review and SLA

Which should you pick?

Choose Mage AI if

  • You need ai-generated workflows.
  • You work on Cloud, Hybrid, Private Cloud, On-Premises.
  • You also want pipeline building.

Choose Nango if

  • You need managed oauth.
  • You want to start without paying.
  • You work on Web, Linux, Docker.
  • You also want pre-built integrations.

Questions people ask

Is Mage AI or Nango better?
Neither clearly leads. Mage AI starts at $100/month and Nango at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Mage AI or Nango?
Nango has a free tier; the other does not. Paid plans start at $100/month for Mage AI and Free for Nango.
Does Mage AI or Nango run on more platforms?
Mage AI runs on Cloud, Hybrid, Private Cloud, On-Premises. Nango runs on Web, Linux, Docker.
Can I use Nango for free?
Yes. Nango has a free tier, so you can try it without paying. Mage AI starts at $100/month.
What is Mage AI best used for?
Mage AI is most often used for building and orchestrating data pipelines with visual interface, automating etl workflows with ai assistance, validating data quality across transformations, distributing transformed data to multiple destinations. Of those, building and orchestrating data pipelines with visual interface and automating etl workflows with ai assistance are not what Nango is typically brought in for.
What can Mage AI do that Nango cannot?
Mage AI covers AI-generated workflows, Pipeline building, Data validation, Workflow orchestration. Nango covers Managed OAuth, Pre-built integrations, Custom syncs and actions, Incremental sync.

Answered from the vendors’ own pages

Mage AI: What is the starting price for Mage Cloud?

Cloud plan starts at $100/month for one development environment with unlimited users, plus usage-based compute charges.

Source
Nango: Is Nango open source?

It is source available under Elastic License 2.0. You can read, modify and self-host it, but you cannot offer it to third parties as a managed service. That is not the same as an OSI approved open source licence.

Mage AI: How is compute usage billed on Mage?

CPU is charged at $0.50 per hour and RAM at $0.50 per 4GB per hour of utilization.

Source
Nango: How is it priced?

Per connection per month, where a connection is one authorised end-user account. Free to 10 connections, 50 dollars a month for Starter with 20, 500 for Growth with 100, and one dollar per additional connection.

Nango: Can we integrate an API Nango does not support?

Yes. Custom syncs and actions in TypeScript cover any API including internal ones, which is the main advantage over closed unified API products.

Nango: Can we self-host it?

Yes, under the Elastic License 2.0 terms, which permit self-hosting for your own use but not resale as a service.

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