What is Dagster?
Data orchestration platform that structures how data is built, observed, and delivered across any tool in the stack, enabling teams and AI agents to rely on trustworthy data infrastructure.
Dagster pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
From $120/month (Solo) or $1200/month (Starter) plus metered credit usage. 30-day free trial on all plans.
Solo
Personal projects and simple pipelines
- users
- 1
- deployments
- 1
- code_locations
- 1
- credits_per_month
- 7.5k
- Core orchestration
- Asset-based orchestration
- Workflow-based orchestration
- Local development workflow
- Components
- Declarative Automation
- Partitions and backfills
Starter
Production pipelines that scale with role-based access control
- users
- 3
- deployments
- 1
- code_locations
- 5
- credits_per_month
- 30k
- Core orchestration
- Asset-based orchestration
- Workflow-based orchestration
- Local development workflow
- Components
- Declarative Automation
- Partitions and backfills
- Data quality
- Asset checks
- Freshness policies
- Catalog Search
- Asset metadata in UI
- Asset-level lineage
- Role-based access control
- Alerts: email, Slack, Microsoft Teams
Pro
Contact salesBuilding and scaling an enterprise data platform
- deployments
- Unlimited
- code_locations
- Unlimited
- Custom Serverless compute
- Unlimited code locations
- Unlimited deployments
- Cost Tracking and Insights
- Personalized Onboarding Support
- Private Slack channel
- Uptime SLAs
- Custom Security Questionnaires
- Data Column Lineage
- BI Tool Cataloguing
- Connections
- Metrics-based alerts
- Custom metrics from asset metadata
- Cost tracking for BigQuery and Snowflake
- AI and agents
- Dagster+ AI chat
- PagerDuty and Datadog
- Alerting asset owners
- RBAC with granular roles per project
- SAML
- Deployment options: ECS, Kubernetes, Docker, Azure, local
- SIEM log export
Enterprise
Contact salesLarge-scale data platforms
- deployments
- Unlimited
- code_locations
- Unlimited
- All Pro features
- Okta and Entra ID SCIM provisioning
- Audit logs
- Agent queues with multi-agent routing and multi-region failover
- EU data residency option
What Dagster does
The capabilities that matter for data engineering tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Tool role
- Orchestrator
- Processing paradigm
- Batch + streaming
- Connector count
- -
- CDC / log-based replication
- ✗
- In-warehouse transformation (push-down)
- ✗
- dbt-native orchestration
- ✓
- Self-hosted / open-source available
- ✓
- Managed cloud available
- ✓
- Data lineage / asset catalog
- ✓
- Python-first authoring
- ✓
- Incremental / partition-aware runs
- ✓
- Built-in data quality / tests
- ✓
- Horizontal scale (distributed executor)
- ✓
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
- Hybrid
- Self-hosted
Integrations (11)
Independently observed- dbt
- Snowflake
- BigQuery
- Datadog
- PagerDuty
- Slack
- Microsoft Teams
- Claude Code
- Cursor
- Databricks
- Azure
Dagster alternatives
Other data engineering tools we track, ranked by the same independent score.
The Vioscale score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Dagster, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Package Downloads | 82 | 26.00 | 2140.3 | ✓ |
| Pricing Transparency | 100 | 16.00 | 1600.0 | ✓ |
| Capabilities | 92 | 16.00 | 1466.1 | ✓ |
| Github Activity | 58 | 18.00 | 1045.6 | ✓ |
| Release Cadence | 96 | 10.00 | 961.1 | ✓ |
| Integrations | 31 | 30.00 | 931.1 | ✓ |
| Security Posture | 60 | 14.00 | 840.0 | ✓ |
| Price Level | 80 | 10.00 | 800.0 | ✓ |
| Github Stars | 79 | 5.00 | 396.3 | ✓ |
| Reliability | 0 | 14.00 | 0.0 | - |
| Stackoverflow Activity | 0 | 12.00 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Activity
| Attribute | Value | Evidence |
|---|---|---|
| Commits last 30d | 69 | mediumsource · 2026-08-01 · 65% |
Adoption
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"cdc":false,"role":"orchestrator","lineage":true,"paradigm":"both","dbt_native":true,"data_quality":true,"elt_pushdown":false,"python_first":true,"managed_cloud":true,"self_hosted_oss":true,"incremental_runs":true,"distributed_executor":true} | mediumsource · 2026-08-01 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 11 | mediumsource · 2026-08-01 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-08-01 · 98% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-08-01 · 95% |
Pricing
Release
| Attribute | Value | Evidence |
|---|---|---|
| Cadence days | 7 | mediumsource · 2026-08-01 · 70% |