Dagster vs Rivery
On the evidence we track, Rivery leads this comparison with a composite score of 79/100. 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
An orchestration and observability platform that models data assets, manages their dependencies, and integrates lineage tracking, quality monitoring, and data cataloging for managing pipelines from development to production.
Rivery
LeaderRivery is a SaaS ELT platform that enables users to extract data from multiple sources (apps, databases, APIs) and load it into data warehouses with SQL or Python transformations. It includes reverse ETL capabilities to push processed data back into business applications.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Dagster
From $10/month. Free 30-day trial. Subscription plus metered usage model.
- Solo$10/month + $0.04/credit + $0.01/minute serverless compute
- Core and asset-based orchestration
- Local development (dg CLI)
- Partitions and backfills
- Branch deployments
- Asset checks
- +3 more
- Starter$100/month + $0.035/credit
- All Solo features
- Workflow-based orchestration
- Freshness policies
- Data column lineage
- BI tool integration
- +5 more
- ProContact sales
- All Starter features
- Custom serverless compute
- Cost tracking and insights
- Personalized onboarding support
- Private Slack channel
- +8 more
Rivery
LeaderFrom $0.75 per RPU. Usage-based pricing (100MB data = 1 RPU). Free tier available. Annual and pay-as-you-go options.
- Starter$0.75 per RPU (PAYG), lower rate with annual commitment
- Basic ETL functionality
- Unlimited users
- Orchestration workflows
- Professional$1.20 per RPU (PAYG or annual)
- Advanced transformation capabilities
- Unlimited users
- Multiple workflows
- EnterpriseContact sales
- Unlimited users, environments, workspaces
- SSO, VPN
- Built-for-you connectors
- Dedicated solutions engineers
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
- Databricks
- Tableau
- Slack
- Salesforce
- Airflow
Dagster
- Spark
- Azure
- AWS
- Airbyte
- Soda
- Microsoft Teams
- PagerDuty
- Datadog
- Python
- dbt Cloud
- Fivetran
- AWS S3
- AWS Redshift
- AWS EMR
- AWS Glue
- AWS Athena
- AWS CloudWatch
- Looker
- Power BI
- Sigma
- Clickhouse
- Ray
- lakeFS
- OpenMetadata
- +8 more
Rivery
Leader- HubSpot
- BigQuery
- Amazon Redshift
- Azure Synapse Analytics
- NetSuite
Dagster or Rivery: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.