Apache Spark vs Dagster
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.
Apache Spark
Apache Spark is an open-source, multi-language distributed computing engine that unifies data engineering, data science, and machine learning workloads. It processes data at scale using batch or streaming paradigms, provides SQL query capabilities for analytics, and includes built-in libraries for machine learning and graph processing.
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.
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
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.
Apache Spark
- Hadoop
- HDFS
- YARN
- Kubernetes
- Docker
Dagster
Leader- dbt
- Snowflake
- Spark
- Databricks
- Azure
- AWS
- Airbyte
- Tableau
- Soda
- Slack
- Microsoft Teams
- PagerDuty
- Datadog
- Python
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.