Dagster vs Meltano
On the evidence we track, Dagster leads this comparison with a composite score of 70/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for data engineering tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Dagster
LeaderA unified orchestration and observability platform that manages data pipelines through assets, tracks dependencies and lineage, enforces data quality, and integrates with existing tools like dbt, Snowflake, and Spark. Supports both self-hosted open-source and managed cloud deployment.
Meltano
Meltano provides a code-first approach to data integration, offering 600+ pre-built connectors with compute-time pricing and integrated governance. It enables teams to combine data extraction, loading, and transformation workflows with native dbt support and orchestration capabilities.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Dagster
LeaderFrom $120/month. 30-day free trial. Subscription with metered credits (asset materializations and ops executed); serverless compute charged separately.
- Solo$120/month with 7.5k credits/month included; overages at $0.040/credit
- 1 User
- 1 Code location
- 1 Deployment
- Core orchestration
- Asset-based orchestration
- +6 more
- Starter$1200/month with 30k credits/month included; overages at $0.035/credit
- Up to 3 Users
- 5 Code locations
- 1 Deployment
- Catalog search
- Column-level lineage
- +8 more
- Pro/EnterpriseContact sales
- Unlimited code locations
- Unlimited deployments
- Custom serverless compute pricing
- Cost tracking and insights
- Personalized onboarding support
- +8 more
Meltano
Free open-source version. Managed cloud plans from Starter (200 compute hrs/mo) to Enterprise (unlimited). Pay for compute, not rows.
- Starter-
- 200 compute hours/mo
- Managed infrastructure
- 25 workspaces
- Unlimited users
- 600+ connectors
- +5 more
- Growth-
- 2000 compute hours/mo
- Everything in Starter
- 100 workspaces
- 8 hours of engineering on demand/mo
- Shared account management
- Scale-
- 5000 compute hours/mo
- Everything in Growth
- Unlimited workspaces
- 15 hours of engineering on demand/mo
- Dedicated account management
- +1 more
- EnterpriseContact sales
- Unlimited compute hours/mo
- Everything in Scale
- Custom connectors
- Custom hours of engineering on demand/mo
- Custom SLA
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- dbt
- Snowflake
Dagster
Leader- Spark
- Databricks
- Azure
- AWS
- Airbyte
- Tableau
- Soda
- Slack
- Microsoft Teams
- PagerDuty
- Datadog
- Python
Meltano
- Singer
- Airflow
- PostgreSQL
- Great Expectations
- Dagster
- Superset
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.