Dagster
A data orchestration platform that manages asset dependencies and provides unified visibility across the data stack
- Vendor
- Elementl
- Also known as
- dagster
Available worldwide · Popular in: US
What is 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.
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 $10/month. Free 30-day trial. Subscription plus metered usage model.
Solo
Personal projects and simple pipelines
- users
- 1
- deployments
- 1
- code_locations
- 1
- Core and asset-based orchestration
- Local development (dg CLI)
- Partitions and backfills
- Branch deployments
- Asset checks
- dbt integration
- Asset lineage
- Email and Slack alerts
Starter
Small teams running production pipelines
- users
- up to 3
- code_locations
- 5
- All Solo features
- Workflow-based orchestration
- Freshness policies
- Data column lineage
- BI tool integration
- Cost tracking for BigQuery and Snowflake
- Catalog search
- SAML SSO
- Granular RBAC
- PagerDuty and Datadog integration
Pro
Contact salesBuilding and scaling an enterprise data platform
- deployments
- Unlimited
- code_locations
- Unlimited
- All Starter features
- Custom serverless compute
- Cost tracking and insights
- Personalized onboarding support
- Private Slack channel
- Uptime SLAs
- Custom security questionnaires
- AI proactive monitoring
- SCIM provisioning (Okta, Entra ID)
- Audit logs
- Hybrid deployments (Kubernetes, ECS, Docker, Azure)
- EU data residency
- SIEM log export
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
- Connector count
- 28+
- 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
- On-premise
- Self-hosted
Integrations (39)
Independently observed- dbt Cloud→•
- AWS Glue
- Fivetran→•
- Singer←•
- AWS S3⇄
- Clickhouse
- AWS Redshift
- AWS EMR
- Ray
- Slurm
- AWS Athena
- Looker
- Power BI
- Sigma
- AWS CloudWatch→
- Salesforce←
- lakeFS
- OpenMetadata
- Cube
- SFTP
- Microsoft SharePoint
- AWS Secrets Manager
- AWS SSM Parameter Store
- AWS ECR
- Airflow←•
- dbt
- Snowflake
- Spark
- Databricks
- Azure
- AWS
- Airbyte
- Tableau
- Soda
- Slack
- Microsoft Teams
- PagerDuty
- Datadog
- Python
Security & compliance
Independently observed- SOC 2 Type II · Type IIactive
Known vulnerabilities: 3 (1 in the last 12 months), max severity HIGH sourcea count reflects scale & disclosure, not quality
Dagster FAQ
Common questions about Dagster, answered from independent, dated evidence.
What is Dagster?
A 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. It is indexed under Data Engineering Tools.
Source: https://dagster.io/pricing
Is Dagster free?
Dagster offers a free tier, so you can start without paying. Paid plans start at $0.01. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.
Source: https://dagster.io/pricing
What platforms does Dagster support?
Dagster supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://dagster.io/pricing
Can Dagster be self-hosted?
Yes. Dagster can be deployed cloud / SaaS, hybrid and self-hosted, so it does not have to run on the vendor's infrastructure.
Source: https://dagster.io/pricing
What does Dagster integrate with?
We have confirmed 14 integrations for Dagster, including dbt, Snowflake, Spark, Databricks, Azure, AWS, Airbyte and Tableau, plus 6 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://dagster.io/pricing
What security certifications does Dagster have?
We have independently confirmed SOC 2, HIPAA and GDPR for Dagster. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Dagster not holding them. Always confirm compliance directly before you rely on it.
Source: https://dagster.io/security
Is Dagster open source?
Yes. Dagster is published under the Apache-2.0 licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.
Where is Dagster available?
Dagster is available worldwide. Its primary market is the United States.
Source: https://dagster.io/pricing
Dagster alternatives
Other data engineering tools we track, ranked by the same independent score.
- CensusAutomated data integration platform that moves and transforms data from diverse sources into analytics and AI-ready destinationsmedium · 74%
- Estuary FlowA managed platform for moving data between systems with support for real-time streaming, batch processing, and in-flight transformation.medium · 72%
- RiveryA cloud-based platform for building and automating data pipelines with extract, load, and transform capabilitiesmedium · 74%
- HightouchActivate your data warehouse to keep business tools updated with current customer informationmedium · 71%
- Prefecthigh · 76%
- Apache AirflowAn open-source platform for programmatically authoring, scheduling, and monitoring data workflowsmedium · 66%
Compare Dagster
Side by side against other data engineering tools, attribute by attribute, with a source on every value.
The vioscaleAI 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 | 0.14 | 11.1 | ✓ |
| Pricing transparency | 100 | 0.08 | 8.4 | ✓ |
| Capabilities | 92 | 0.08 | 7.7 | ✓ |
| Development activity | 63 | 0.09 | 5.9 | ✓ |
| Release cadence | 96 | 0.05 | 5.0 | ✓ |
| Security posture | 60 | 0.07 | 4.4 | ✓ |
| Price level | 80 | 0.05 | 4.2 | ✓ |
| Integrations | 42 | 0.09 | 3.9 | ✓ |
| Dependent projects | 41 | 0.06 | 2.6 | ✓ |
| Stars | 79 | 0.03 | 2.1 | ✓ |
| Security score | 51 | 0.04 | 2.1 | ✓ |
| Reliability | 0 | 0.07 | 0.0 | - |
| Developer Q&A activity | 0 | 0.06 | 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 | 100 | mediumsource · 2026-10-13 · 65% |
Adoption
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 8 items | mediumsource · 2026-09-10 · 68% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Cdc: No · Role: orchestrator · Lineage: Yes · Paradigm: batch · Dbt native: Yes · Data quality: Yes | mediumsource · 2026-10-13 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 28 | mediumsource · 2026-10-13 · 60% |
Language
| Attribute | Value | Evidence |
|---|---|---|
| Primary | Python | highsource · 2026-10-13 · 98% |
License
| Attribute | Value | Evidence |
|---|---|---|
| Spdx | Apache-2.0 | highsource · 2026-10-13 · 95% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-10-13 · 75% |
Pricing
Release
Security
| Attribute | Value | Evidence |
|---|---|---|
| Disclosure policy | Yes | mediumsource · 2026-08-14 · 60% |
| Gdpr | Yes | highsource · 2026-10-13 · 75% |
| Hipaa | Yes | highsource · 2026-10-13 · 75% |
| Soc2 | Yes | highsource · 2026-10-13 · 75% |
| Scorecard | 5.1 | highsource · 2026-10-13 · 90% |
| Vulnerabilities | Count: 3 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=dagster&per_page=100 · Last 12m: 1 · Max severity: HIGH | highsource · 2026-08-26 · 90% |
| Certifications | SOC 2 Type II | mediumsource · 2026-10-13 · 60% |
| Trust center | https://dagster.io/security | mediumsource · 2026-10-13 · 60% |
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