Automation Integration · head to head
Dagster vs Talend

Dagster
Automation Integration
Data orchestration platform with asset lineage and AI-native observability
- From
- Free
- Rated
- -
The short version
- Only Dagster has a free tier, so it costs nothing to try first.
- Each has a real cost: Dagster learning curve steeper than simpler task schedulers; Talend no published pricing; all customers receive customized quotes based on usage
- They diverge on capability: Dagster covers Asset-centric orchestration, Talend covers ETL pipelines.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Dagster and Talend actually diverge.
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 Dagster
- Asset-centric orchestration
- Lineage tracking
- Data quality monitoring
- Multi-tool integration
- Branch deployments
- Dagster+ AI
- Hybrid deployment
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.
Dagster
- Orchestrating multi-stage data transformation pipelinesnot Talend
- Tracking data lineage across transformation toolsnot Talend
- Monitoring data quality and asset healthnot Talend
- Coordinating dbt and Snowflake workflowsnot Talend
Talend
- Enterprises consolidating data integration and pipeline orchestration now under the Qlik Talend Cloud brandnot Dagster
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Dagster
- Learning curve steeper than simpler task schedulers
- Asset-centric model requires redesigning existing task-based pipelines
- Pricing complex with per-credit costs on top of base fee
- Open-source version requires self-hosting infrastructure
- Limited to data workflows; not suitable for general automation
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
Dagster
Free- Open SourceFree
- Self-hosted deployment
- Full orchestration engine
- Community support
- Solo$10/month
- 1 user and 1 code location
- Pay-as-you-go credits at $0.040 per credit
- 1 deployment
- Starter$100/month
- Up to 3 users and 5 code locations
- Better credit rate at $0.035 per credit
- 1 deployment
- Pro$null/custom
- Unlimited code locations and deployments
- Custom serverless compute pricing
- Personalized onboarding
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 Dagster if
- You need asset-centric orchestration.
- You want to start without paying.
- You work on Cloud, Self-hosted.
- You also want lineage tracking.
Choose Talend if
- You need etl pipelines.
- You work on Web, On-premise.
- You also want data quality.
Questions people ask
- Is Dagster or Talend better?
- Neither clearly leads. Dagster starts at Free and Talend at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Dagster or Talend?
- Dagster has a free tier; the other does not. Paid plans start at Free for Dagster and On request for Talend.
- Does Dagster or Talend run on more platforms?
- Dagster runs on Cloud, Self-hosted. Talend runs on Web, On-premise.
- Can I use Dagster for free?
- Yes. Dagster has a free tier, so you can try it without paying. Talend starts at On request.
- What is Dagster best used for?
- Dagster is most often used for orchestrating multi-stage data transformation pipelines, tracking data lineage across transformation tools, monitoring data quality and asset health, coordinating dbt and snowflake workflows. Of those, orchestrating multi-stage data transformation pipelines and tracking data lineage across transformation tools are not what Talend is typically brought in for.
- What can Dagster do that Talend cannot?
- Dagster covers Asset-centric orchestration, Lineage tracking, Data quality monitoring, Multi-tool integration. Talend covers ETL pipelines, Data quality, Master data management, Real-time streaming.
Answered from the vendors’ own pages
Dagster: What does Solo plan at $10/month include?
Solo includes 1 user, 1 code location, 1 deployment, and serverless compute at $0.010/minute, with 30-day free trial.
SourceTalend: 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.
SourceDagster: How are credits calculated on Dagster+?
Each asset materialization and ops execution costs 1 credit. Solo plan charges $0.040 per credit; Starter reduces to $0.035 per credit.
SourceTalend: 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.
SourceDagster: Is Dagster open-source available for free?
Yes, Dagster open-source is free and includes the full orchestration engine for self-hosted deployment with community support.
SourceTalend: 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.
SourceRelated pages
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