Head-to-head · DataOps Platforms
BMC Control-M vs Dagster
BMC Control-M leads on 0 checks, Dagster on 2, and 0 are even. Who comes out ahead on the 2 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreBMC Control-M · 9.1/10
- Lowest starting priceDagster · $10/mo
- Free planonly Dagster
- Free trialonly Dagster
BMC Control-M scores higher on our rubric for dataops platforms: 9.1 against 8.5 out of 10; our editors rank them #2 and #8.
Dagster offers free plan; BMC Control-M doesn't. Dagster is cheaper to start at $10/mo against $2,400/mo.
BMC Control-M is the better fit for enterprises orchestrating hybrid data and application jobs. Dagster is the better fit for data teams focused on assets, lineage, and quality.
- BMC Control-M fits best
Enterprises orchestrating hybrid data and application jobs
- Dagster fits best
Data teams focused on assets, lineage, and quality
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Side by side
| Feature | BMC Control-M 9.1/10 Visit ↗ | Dagster 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.1 | 8.5 |
| Ranking | #2 in DataOps Platforms | #8 in DataOps Platforms |
| Best for | Enterprises orchestrating hybrid data and application jobs | Data teams focused on assets, lineage, and quality |
| Pricing model | Paid | Free plan + paid |
| Starting price | $2,400/mo | $10/mo (best) |
| Free plan | — | ✓ (best) |
| Free trial | — | 30 days |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web, iOS, Android | Web |
| Support | Email, Phone, Docs · 24/7 | Community, Docs, Live chat |
| Compliance | GDPR | SOC 2, GDPR |
| Integrations | 12 integrations | 13 integrations |
| Built for | Mid-market, Enterprise | Solo, Small business, Mid-market, Enterprise |
| Features BMC Control-M 0/4 · Dagster 0/4 | ||
| Workflow scheduling | Not checked yet | Not checked yet |
| Pipeline monitoring | Not checked yet | Not checked yet |
| Data quality checks | Not checked yet | Not checked yet |
| Version control | Not checked yet | Not checked yet |
| Specs | ||
| Deployment options | Not checked yet | Not checked yet |
| Supported integrations | Not checked yet | Not checked yet |
| Our review | ||
| Pros |
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| Cons |
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| Our verdict | BMC Control-M is workflow orchestration software for enterprise IT, operations, development, and data teams managing processes across cloud, on-premises, hybrid, distributed, and mainframe environments. Visual workflow design and… Read the review → |
Dagster is a data orchestration framework and platform for data engineering teams building analytics, machine learning, AI, ingestion, and transformation workflows. Its asset-based model connects dependencies, lineage, metadata, execution,… Read the review → |
Strengths and trade-offs
BMC Control-M — where it wins
- Orchestrates application and data workflows across cloud and on-premises environments
- Combines SLA monitoring, predictive delay detection, and managed file transfer
- Connects with AWS, Azure, Snowflake, Databricks, SAP, and Apache Airflow
Where it doesn't
- No free plan; Starter Pack starts at $2,400 per month with annual billing
- Starter Pack execution volume is capped
- The published entry price may not suit smaller teams or narrower workloads
Dagster — where it wins
- Tracks asset dependencies and lineage with freshness and quality checks
- Supports schedules, event-driven sensors, retries, partitions, and backfills
- Integrates with dbt, Snowflake, Fivetran, Spark, and Databricks
Where it doesn't
- Solo is limited to 1 user, 1 code location, and 1 deployment
- Starter costs $100/month and supports up to 3 users
- Pro requires a sales conversation, and usage-based charges can apply
- BMC Control-M9.1/10 · Paid
Coordinates application and data workflows across cloud, on-premises, hybrid, and mainframe environments.
Visit BMC Control-MFull verdict → - Dagster8.5/10 · Free plan · 30-day trial
A flexible orchestration platform for teams managing data assets and production pipelines.
Visit DagsterFull verdict →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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