Dagster vs Estuary Flow
On the evidence we track, Estuary Flow leads this comparison with a composite score of 80/100. 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.
Estuary Flow
LeaderEstuary is a fully managed data integration platform that consolidates the capture, movement, and transformation of data across databases, cloud storage, and applications. It supports continuous streaming, scheduled batch operations, and optional transformations using SQL, TypeScript, or dbt.
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
Estuary Flow
LeaderFree tier with 10 GB/month limit. Cloud plan: $0.50/GB data moved plus connector instance fees.
- FreeFree
- 2 connector instances
- 10 GB/month data limit
- Data stored in Estuary cloud storage
- Cloud$0.50/GB data moved + $100/month per connector (first 6), $50/month each additional
- Unlimited connector instances
- Usage-based data pricing
- Data stored in customer cloud account
- Real-time CDC from databases
- Batch and streaming data movement
- +3 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.
- Snowflake
- Databricks
- Airbyte
- Salesforce
Dagster
- dbt
- Spark
- Azure
- AWS
- Tableau
- Soda
- Slack
- 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
- +11 more
Estuary Flow
Leader- Oracle
- MySQL
- PostgreSQL
- Amazon S3
- Google Cloud Storage
- Azure Blob Storage
- NetSuite
- HubSpot
- Google Pub/Sub
- Amazon Kinesis
- Apache Kafka
- Google BigQuery
- Amazon Redshift
- Elasticsearch
- MongoDB
- Amazon DynamoDB
- Pinecone
- OpenAI
- Facebook Ads
- LinkedIn Ads
- Google Ads
- SingleStore
- Motherduck
- Apache Iceberg
- +1 more
Dagster or Estuary Flow: 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.