Dagster vs Temporal

Dagster and Temporal are both durable-execution orchestration platforms with free open-source cores, but they target different shapes of work: Dagster models…

Best for Dagster: Data engineering teams building ETL/ELT pipelines who want asset-based lineage, built-in observability, branch deployments for testing pipeline changes, and native integrations with dbt, Snowflake, and Fivetran.
Best for Temporal: Engineering teams building durable business-logic workflows or microservices who need multi-language SDK support (Python, Go, TypeScript, Ruby, C#, Java, PHP) and automatic retry/state-recovery logic, and who don't need a data-pipeline-specific framework.

At a Glance

 DagsterTemporal
Primary categoryAutomationAutomation
RatingNot documentedNot documented
Pricing modelFreemium / Open Sourcefreemium
Starting priceFree (self-hosted); Dagster+ from $120/monthFree (open-source, self-hosted); Temporal Cloud from about $100/month
Free planNot documentedYes
Free trialYesYes
PlatformsWebNot documented
Team collaborationNot documentedNot documented
AI featuresYesNot documented
Public APIYesYes

Key Differences

Orchestration model

Dagster: Models data pipelines as assets across the technology stack, with lineage, dependency tracking, and data health monitoring built in.

Temporal: Business logic is written as code and executed as a Temporal Workflow with automatic state persistence, independent of any asset concept.

Asset-based modeling suits data pipeline lineage tracking; workflow-as-code suits general application logic that doesn't map naturally to data assets.

Language support

Dagster: Language/SDK support is not documented beyond its integrations with dbt, Snowflake, and Fivetran.

Temporal: Provides SDKs for seven languages: Python, Go, TypeScript, Ruby, C#, Java, and PHP.

Broad multi-language SDK support lets teams write durable workflows in whatever language their existing services already use.

AI-assisted operations

Dagster: Dagster+ AI provides AI-assisted diagnostics and automated remediation for pipeline issues.

Temporal: No AI-assisted diagnostics or remediation feature is documented.

Built-in AI diagnostics can reduce time spent manually triaging pipeline failures.

Native data-stack integrations

Dagster: First-class integrations with dbt, Snowflake, and Fivetran are a named feature.

Temporal: No specific data-tool integrations are documented; Temporal is positioned as general-purpose.

Native connectors reduce the glue code needed to orchestrate common modern data stack tools.

Free tier and entry pricing

Dagster: Dagster+ has no permanent free tier — only a 30-day free trial before Solo plan pricing of $120/month begins.

Temporal: Also has no permanent free hosted tier, but new Temporal Cloud signups can get $1,000 in free credits, and the open-source core can be self-hosted for free with community support.

The size and structure of free usage affects how long a team can evaluate the hosted product before paying.

Feature-by-Feature

Core Orchestration Model

FeatureDagsterTemporal
Asset-based data pipeline modelingAvailableNot documented
Workflow-as-code for general business logicNot documentedAvailable
Branch/test deployments before productionAvailableNot documented
AI-assisted diagnostics and remediationAvailableNot documented
Workflow replay and recoveryNot documentedAvailable

Language & Integration Support

FeatureDagsterTemporal
Multi-language SDKsNot documentedAvailable
Native dbt/Snowflake/Fivetran integrationsAvailableNot documented
Open-source, self-hostable coreAvailableAvailable

Pricing & Plans

FeatureDagsterTemporal
Permanent free tier for hosted productUnavailableUnavailable
SLA on entry-level hosted planNot documentedAvailable
SSO/SAML supportAvailableAvailable

Pricing Compared

Starting price reflects the lowest paid tier, not the full cost for every team size or usage level.

Dagster

Open Source — Free N/A
Dagster+ Solo — $120/month monthly (pay-as-you-go, 7,500 credits included)
Dagster+ Starter — $1,200/month monthly (pay-as-you-go, 30,000 credits included)
Dagster+ Enterprise — Custom Contact sales

Temporal

Self-Hosted (Open Source) — Free self-hosted, MIT license
Temporal Cloud Essentials — From about $100/month monthly, usage-based above included allowance
Temporal Cloud Business — From about $500/month monthly, usage-based above included allowance
Temporal Cloud Enterprise — Custom annual contract
Temporal Cloud Mission Critical — Custom annual contract

Pros & Cons

Dagster

Pros

  • Asset-based model gives built-in lineage and observability other orchestrators require add-ons for.
  • Strong local development and testing experience for Python-based pipelines.
  • Free, fully-featured open-source core with no artificial feature gating.
  • Post-acquisition, Prefect has committed to continued investment and unchanged pricing.

Cons

  • The asset-centric abstraction has a steeper learning curve than simpler task-based schedulers.
  • Dagster+ credit-based pricing can be harder to forecast than flat per-seat pricing at scale.
  • Enterprise pricing is not publicly listed and requires a sales conversation.
  • Recent acquisition by Prefect introduces some uncertainty about long-term product direction, despite stated commitments.

Temporal

Pros

  • Removes the need to hand-write complex retry, timeout, and recovery logic for distributed systems
  • Free, open-source self-hosted option under the MIT license with no licensing cost
  • Broad language support (Go, Java, TypeScript, Python, PHP, Ruby, .NET) fits polyglot engineering teams
  • Built by the team behind Uber's Cadence engine, with deep experience in production workflow orchestration
  • Adopted by well-known companies (Netflix, Datadog, Snap, Stripe) validating production scalability

Cons

  • Self-hosting the open-source server is operationally demanding and requires dedicated engineering effort
  • Temporal Cloud usage-based pricing can become expensive at high action volumes without careful monitoring
  • Learning curve exists around Temporal's Workflow and Activity programming model for teams new to durable execution
  • Enterprise and Mission Critical tiers require a custom sales quote rather than transparent published pricing
  • Best suited to engineering-heavy organizations; less approachable for non-technical or very small teams

Use Cases

Choose Dagster: Data engineering teams building ETL/ELT pipelines who want asset-based lineage, built-in observability, branch deployments for testing pipeline changes, and native integrations with dbt, Snowflake, and Fivetran.
Choose Temporal: Engineering teams building durable business-logic workflows or microservices who need multi-language SDK support (Python, Go, TypeScript, Ruby, C#, Java, PHP) and automatic retry/state-recovery logic, and who don't need a data-pipeline-specific framework.
Need both: Organizations with both a data engineering function orchestrating dbt/Snowflake pipelines and a backend engineering function running durable service workflows may run Dagster and Temporal side by side, each for its own domain.

Dagster

  • Modern ETL/ELT orchestration — Teams use Dagster to orchestrate ingestion, transformation (often via dbt), and loading into warehouses like Snowflake or BigQuery with built-in lineage.
  • ML and AI pipeline orchestration — Dagster orchestrates feature engineering, model training, and increasingly RAG or agentic LLM pipelines as declarative asset graphs.
  • Data platform observability and lineage — Organizations use Dagster's asset catalog and lineage graph to understand data freshness and dependencies across many pipelines from one place.

Temporal

  • Microservices orchestration — Engineering teams use Temporal to coordinate calls across multiple microservices with automatic failure recovery.
  • Long-running business processes — Companies use Temporal to model long-running processes like order fulfillment or onboarding that span minutes to months.
  • AI agent workflow orchestration — Teams building AI agents use Temporal to make multi-step agent workflows fault tolerant and resumable.

Frequently Asked Questions

Is Dagster free?

The open-source Dagster orchestration framework is free and self-hostable; the hosted Dagster+ product starts at $120/month after a 30-day free trial.

Is Temporal free?

Yes, Temporal is MIT-licensed and open source and can be self-hosted for free with community support. The managed Temporal Cloud starts at $100/month for the Essentials plan.

What languages does Temporal support?

Temporal provides SDKs for Python, Go, TypeScript, Ruby, C#, Java, and PHP.

What data tools does Dagster integrate with?

Dagster lists first-class integrations with dbt, Snowflake, and Fivetran.

Are Dagster and Temporal related companies?

Dagster's own FAQ states that Prefect announced it acquired Dagster Labs in July 2026, which could affect Dagster's product roadmap. Temporal isn't part of that acquisition.

Does either platform offer free credits for new signups?

New Temporal Cloud signups can get $1,000 in free credits. This isn't documented for Dagster+.

Read the full Dagster review · Read the full Temporal review