Mage
Mage: Mage combines tested, monitored pipelines with cloud, hybrid, and self-hosted deployment. Ranked #9 of 16 in DataOps Platforms by our editors (8.3/10); pricing: Free plan · 7-day trial; best for teams building monitored, tested data pipelines.
At a glance
- Editor score8.3 / 10
- PricingFree plan · 7-day trial
- Best forTeams building monitored, tested data pipelines
- Free planYes
- Paid from$29/mo
- Workflow schedulingYes
- Facts checked24 Sep 2026
Where it wins
- Pipeline tests, freshness and schema checks, monitoring, and recovery
- Python, SQL, R, and dbt development with Git-based workflows
- Cloud or self-hosted deployment with scheduling and dependencies
Where it doesn't
- Starter is limited to one developer seat and one environment
- Team includes one environment, even with up to 10 developer seats
- Support channels are community and documentation
Our verdict on Mage
Mage is an AI data engineering platform for data teams and developers building, scheduling, and monitoring pipelines. It supports pipeline development in Python, SQL, R, and dbt, with scheduled triggers, cross-pipeline dependencies, run history, logs, status, metrics, and monitoring dashboards. Data validations, freshness checks, schema checks, pipeline tests, and automatic recovery address operational controls, while open-source software supports self-managed deployments. Mage fits solo developers through enterprise teams that need cloud or self-hosted options.
The published plans show a free plan and a 7-day trial without a credit card. Starter costs $29 per month for one developer seat and one development environment, with managed orchestration, alerts, monitoring, and 50 AI credits monthly. Team costs $100 per month for up to 10 developer seats and one included environment, adding advanced controls, lineage, deployment workflows, and 250 shared AI credits monthly. Enterprise adds private and hybrid deployment options, custom governance and security controls, plus dedicated onboarding, support, and SLAs. The plan structure suits teams that can match environment and seat needs to tier boundaries.
Mage connects to Stripe, Salesforce, BigQuery, and HubSpot, along with databases, SaaS APIs, cloud storage, files, and streams through built-in and custom connectors. Git-based version control, autoscaling execution, resource monitoring, and deployment workflows support teams operating pipelines across cloud and self-hosted environments. Teams needing broad pipeline checks, recovery, and deployment flexibility should consider Mage; those prioritizing multiple environments at lower tiers, a larger set of named integrations, or support beyond community and documentation may prefer another platform.
Your product? Our editors can test Mage in depth and publish a review, labelled as paid · from $149/mo →
Mage pricing
Mage fact sheet
| Free plan | Yes |
|---|---|
| Paid from | $29/mo |
| Deployment options | Hybrid |
| Workflow scheduling | Yes |
| Pipeline monitoring | Yes |
| Data quality checks | Yes |
| Version control | Yes |
| Supported integrations | Stripe, Salesforce, BigQuery, HubSpot, databases, SaaS APIs, cloud storage, files, streams |
| Free trial | 7 days · no card needed |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | SOC 2, 2FA |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 100+ integrations: Stripe, Salesforce, BigQuery, HubSpot, Databases, SaaS APIs … See all → |
| Pricing | Free plan · 7-day trial (source) |
| Website | mage.ai |
| Facts checked | 24 Sep 2026 |
Mage integrations
Mage lists 100+ integrations on its own site — the 9 named here are the ones its pages call out.
- Stripe
- Salesforce
- BigQuery
- HubSpot
- Databases
- SaaS APIs
- Cloud storage
- Files
- Streams
Alternatives to Mage
- Apache AirflowA Python-first orchestrator for teams running scheduled and event-driven workflows.9.3
- BMC Control-MCoordinates application and data workflows across cloud, on-premises, hybrid, and mainframe environments.9.1
- Apache HopA broad, free visual ETL platform for teams building repeatable pipelines.9.0
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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