AI · head to head
Arize AI vs Dagster

Arize AI
AI
AI engineering platform for observability and evaluation of agents and LLM apps
- From
- Free
- Rated
- -

Dagster
Automation Integration
Data orchestration platform with asset lineage and AI-native observability
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Arize AI the free plan caps trace spans at 25,000 per month with only 15 days of retention.; Dagster learning curve steeper than simpler task schedulers
- They diverge on capability: Arize AI covers End-to-end tracing, Dagster covers Asset-centric orchestration.
Where they differ
Only the attributes on which Arize AI and Dagster actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
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 Arize AI
- End-to-end tracing
- Evaluation framework
- Prompt testing and improvement
- Alyx AI engineering agent
- Custom dashboards
- Data warehouse integrations
Only in Dagster
- Asset-centric orchestration
- Lineage tracking
- Data quality monitoring
- Multi-tool integration
- Branch deployments
- Dagster+ AI
- Hybrid deployment
What people use each for
The jobs each tool is most often brought in to do.
Arize AI
- Tracing and debugging production AI agentsnot Dagster
- Running large-scale evaluations across traces and sessionsnot Dagster
- Improving prompts before production rolloutnot Dagster
- Storing and querying GenAI traces alongside a data warehousenot Dagster
Dagster
- Orchestrating multi-stage data transformation pipelinesnot Arize AI
- Tracking data lineage across transformation toolsnot Arize AI
- Monitoring data quality and asset healthnot Arize AI
- Coordinating dbt and Snowflake workflowsnot Arize AI
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Arize AI
- The free plan caps trace spans at 25,000 per month with only 15 days of retention.
- Self-hosted deployment and Data Fabric integration are restricted to the custom-priced Enterprise tier.
- Pricing beyond the $50/month Pro plan requires a custom quote, making cost planning less transparent at scale.
- Advanced compliance features like HIPAA are only available on Enterprise.
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
Pricing, plan by plan
Arize AI
Free- AX FreeFree
- 25k trace spans/month
- 1 GB storage/month
- 15-day retention
- AX Pro$50/month
- 50k trace spans/month
- 10 GB storage/month
- 30-day retention
- AX Enterprise$undefined/mo
- Custom trace spans, storage, and retention
- SaaS or self-hosted deployment
- Managed agents and Data Fabric
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
Which should you pick?
Choose Arize AI if
- You need end-to-end tracing.
- You want to start without paying.
- You work on web, api.
- You also want evaluation framework.
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.
Questions people ask
- Is Arize AI or Dagster better?
- Neither clearly leads. Arize AI starts at Free and Dagster at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Arize AI or Dagster?
- Arize AI starts at Free and Dagster at Free.
- Does Arize AI or Dagster run on more platforms?
- Arize AI runs on web, api. Dagster runs on Cloud, Self-hosted.
- Can I use Arize AI for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Arize AI best used for?
- Arize AI is most often used for tracing and debugging production ai agents, running large-scale evaluations across traces and sessions, improving prompts before production rollout, storing and querying genai traces alongside a data warehouse. Of those, tracing and debugging production ai agents and running large-scale evaluations across traces and sessions are not what Dagster is typically brought in for.
- What can Arize AI do that Dagster cannot?
- Arize AI covers End-to-end tracing, Evaluation framework, Prompt testing and improvement, Alyx AI engineering agent. Dagster covers Asset-centric orchestration, Lineage tracking, Data quality monitoring, Multi-tool integration.
Answered from the vendors’ own pages
Arize AI: What does Arize AX cost?
Arize AX offers a free plan, a Pro plan at $50/month, and a custom-priced Enterprise plan, with pricing based on trace spans, storage, and retention needs.
SourceDagster: 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.
SourceArize AI: Is there a free plan, and what are its limits?
The AX Free plan includes 25,000 trace spans and 1 GB of storage per month with 15-day retention, plus unlimited users, evaluations, and experiments.
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.
SourceArize AI: What deployment options are available?
Free and Pro plans are SaaS-only, while Enterprise customers can choose SaaS or self-hosted deployment with custom SLAs.
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.
SourceRelated pages
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