Mage

What it is for

Mage is a pipeline desk with an AI sidekick: you build Python/SQL/R/dbt blocks, schedule them, and spend AI credits to write, debug, or chart. Use it when the job is managed orchestration plus $0.50 CPU-hours, not when you need a $20 chat seat.

What makes it unique: the cover is the official Mage docs Deployments table (Live/staging, git commits, Rollback, logs) — not a pricing card. Deploy is a product; the table itself is ops.

Key features

• Pipeline editor — visual + code blocks in Python, SQL, R, and dbt (pricing Building). One graph. Concurrent block tests are a mode of this. mage start is install.
• Orchestration — schedules, webhooks/API triggers, sensors, backfills, and retries (pricing Orchestration). A clock / door, not a block. Run history is ops of this.
• Deployments — git-connected stages with rollback (pricing Collaboration; cover). A ship, not a pipeline edit. Branch-based staging is Team SKU of this.
• Data explorer — schema/SQL previews plus AI-generated charts and dashboards (pricing Analytics). A look, not a run. Custom viz dashboards are this surface.
• AI credits — write/edit pipelines, debug failed runs, and generate charts (pricing AI). A generate. Starter 50/mo; Team 250 shared; extra $0.12/credit. Autopilot / self-heal is Enterprise SKU of this.

Connectors (standard vs premium) are SKU of ingest. Spark execution is SKU of compute. CPU-hours at $0.50 and seats are the meter. The AI chat pane is ops of AI credits.

Who it's for

Best fit: solo data engineers who will use the 7-day trial (no card), then buy Starter at $29/month + $0.50/CPU-hour when they want 50 AI credits and one managed environment.

Pricing

Verified 2026-10-22 (Asia/Shanghai) from mage.ai/pricing. Cloud is seats + CPU-hours + AI credits. OSS Mage remains $0 to self-host.

• Trial — 7 days. No card.
• Starter — $29/month + $0.50/CPU-hour. 1 developer seat. 1 development environment. 50 AI credits/mo. Managed orchestration, alerts, monitoring. Monthly or annual.
• Team — $100/month + $0.50/CPU-hour. Up to 10 seats. 1 environment included; add more. 250 shared AI credits/mo. Lineage and deployment workflows.
• Enterprise — custom. Private / hybrid / on-prem, governance, dedicated onboarding, SLAs, custom prepaid AI.
• Extra AI — $0.12/credit beyond the included pack.

Cancel or switch anytime on Starter/Team. Confirm checkout; taxes follow your location.

Limitations / costs

• $29 does not include compute. CPU-hours are $0.50 on top.
• Starter is one seat and one environment. Staging/prod deploy workflows start at Team.
• A pipeline desk, not a 700-connector EL mover. For EL connectors see Airbyte. For durable functions see Inngest.

Alternatives

• Airbyte — 700+ EL connectors when you will not write Mage blocks.
• Inngest — event-wrapped durable functions when the job is an agent, not a warehouse pipeline.
• Windmill — scripts and flows on a self-host desk when you want apps, not dbt blocks.

Official tutorial

Official Mage AI channel exists (channel id UCe7KjyBDoEsEH_FVBq8vcLw). The videos feed we fetched had no first-party getting-started id — link the channel, do not embed a third-party walkthrough.

Written path: mage.ai/pricing plus the Deployments docs screenshot.

Website

https://www.mage.ai

Repository

https://github.com/mage-ai/mage-ai

Source

Catalog row curated for AI Tools Nav. Cover is the official Mage Deployments table. Dollars checked on mage.ai/pricing (Starter $29 + $0.50/CPU-hour / 50 AI credits; Team $100 / 250 credits; extra AI $0.12).

Last verified

2026-10-22 (Asia/Shanghai) editorial check.