What is Mage?
Mage builds workflows automatically, keeps them running, and turns every execution into trusted context for analytics, automation, and agents. It combines AI-generated workflow creation with built-in orchestration, data validation, monitoring, and reliable delivery.
Mage 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 $100/month + usage-based pricing. Free trial available.
Free Trial
FreeUsage-based pricing with no fixed monthly fee
- Full platform access
- One development environment
- Unlimited users
Start
Recommended for most teams. Everything needed to build, run, and monitor production workflows.
- One development environment
- Unlimited users
- Usage-based infrastructure
- Production workflows
Enterprise
Contact salesCustom deployment options and support tailored to workload needs
- Hybrid cloud deployment
- Private cloud deployment
- On-premises deployment
- Custom support
What Mage 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
- -
- 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- Web
- Cloud / SaaS
- Hybrid
- On-premise
- Self-hosted
Integrations (5)
Independently observed- Stripe
- Salesforce
- BigQuery
- dbt
- VSCode
Mage 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 Mage, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Pricing Transparency | 100 | 16.00 | 1600.0 | ✓ |
| Capabilities | 81 | 16.00 | 1298.4 | ✓ |
| Price Level | 80 | 10.00 | 800.0 | ✓ |
| Reliability | 50 | 14.00 | 700.0 | ✓ |
| Integrations | 22 | 30.00 | 671.3 | ✓ |
| Security Posture | 45 | 14.00 | 630.0 | ✓ |
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.
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | {"role":"orchestrator","paradigm":"batch","dbt_native":true,"data_quality":true,"managed_cloud":true,"self_hosted_oss":true,"incremental_runs":true,"distributed_executor":true} | mediumsource · 2026-08-03 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 5 | mediumsource · 2026-08-03 · 60% |
Pricing
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Status page | Yes | mediumsource · 2026-08-03 · 60% |