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Automation Integration · head to head

Mage AI vs Talend

Mage AI logo

Mage AI

Automation Integration

Data pipeline platform with AI-generated workflows and governance

From
$100/month
Rated
-
Talend logo

Talend

Automation Integration

Cloud data integration platform

From
On request
Rated
-

The short version

  • Each has a real cost: Mage AI usage-based pricing lacks transparency for cost forecasting; Talend no published pricing; all customers receive customized quotes based on usage
  • They diverge on capability: Mage AI covers AI-generated workflows, Talend covers ETL pipelines.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

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

Attributes where Mage AI and Talend differ
AttributeMage AITalend
Starting price$100/monthOn request
Pricing modelUsage-based cloud platformusage-based
PlatformsCloud, Hybrid, Private Cloud, On-PremisesWeb, On-premise
FoundedUnknown2006

Identical on both: free tier (No), 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 Talend

  • ETL pipelines
  • Data quality
  • Master data management
  • Real-time streaming
  • Cloud synchronization
  • Monitoring
  • Scheduling
  • 1000+ connectors

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 Talend
  • Automating ETL workflows with AI assistancenot Talend
  • Validating data quality across transformationsnot Talend
  • Distributing transformed data to multiple destinationsnot Talend

Talend

  • Enterprises consolidating data integration and pipeline orchestration now under the Qlik Talend Cloud brandnot 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

Talend

  • No published pricing; all customers receive customized quotes based on usage
  • Billing measured by combination of data volume moved, job executions, and execution duration
  • Pricing details available only through sales contact; no self-serve pricing model

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

Talend

On request
  • Starter$null/usage
    • Basic SaaS connectivity
  • Standard$null/usage
    • Real-time data movement
    • Change Data Capture (CDC)
  • Premium$null/usage
    • Transformation capabilities
    • Automation features
  • Enterprise$null/usage
    • Comprehensive quality features
    • Governance capabilities

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 Talend if

  • You need etl pipelines.
  • You work on Web, On-premise.
  • You also want data quality.

Questions people ask

Is Mage AI or Talend better?
Neither clearly leads. Mage AI starts at $100/month and Talend at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Mage AI or Talend?
Mage AI starts at $100/month and Talend at On request.
Does Mage AI or Talend run on more platforms?
Mage AI runs on Cloud, Hybrid, Private Cloud, On-Premises. Talend runs on Web, On-premise.
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 Talend is typically brought in for.
What can Mage AI do that Talend cannot?
Mage AI covers AI-generated workflows, Pipeline building, Data validation, Workflow orchestration. Talend covers ETL pipelines, Data quality, Master data management, Real-time streaming.

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
Talend: How is Talend Cloud priced?

Talend Cloud uses a usage-based pricing model where customers subscribe to a chosen edition (Starter, Standard, Premium, or Enterprise) and pay based on capacity used. Billing is calculated as a combination of data volume moved, number of job executions, and execution duration, with no published rates.

Source
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
Talend: What are Talend Cloud editions?

Talend Cloud offers four editions: Starter (basic SaaS connectivity), Standard (real-time data movement and CDC), Premium (transformation and automation), and Enterprise (comprehensive quality and governance). All pricing is custom based on usage.

Source
Talend: Does Talend Cloud provide usage monitoring?

Yes. Talend provides a self-serve telemetry dashboard where customers can monitor usage trends and receive alerts as utilization approaches capacity limits, allowing tracking of data volume, job executions, and execution duration.

Source
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