Mage

Scale data work for business teams

🧙‍♀️ Mage connects your systems, learns domain knowledge, and models data to power business solutions.

[Mage @mage_ai]

New in Mage Pro: richer AI Sidekick context, broader data previews, bulk pipeline/project import, and clearer streaming health.

See the September release: https://t.co/nv9p3HmmRl

[Mage @mage_ai]

Watch the walkthrough: https://t.co/NpCwR1Ogc9

[Mage @mage_ai]

Planned starts, overlaps, and related runs in Mage Pro's trigger calendar. 📅

[Mage @mage_ai]

What starts today, and which jobs overlap? 📅

Mage Pro’s Trigger Calendar brings planned starts, status, and run details into one view.

[Mage @mage_ai]

Retry affected work without rerunning healthy siblings. 🎯 Mage Pro: https://t.co/7IM3t4Y0vh

[Mage @mage_ai]

Put your data pipelines on autopilot with self-healing in Mage Pro: https://t.co/7IM3t4Y0vh

[Mage @mage_ai]

Connected is not migrated. Validate models and schedules. 🔎

https://t.co/3jXJ70pZZT

[Mage @mage_ai]

Azure Blob to Snowflake with Mage Dynamic Blocks 👀
https://t.co/QjV6Z0bpTx

[Mage @mage_ai]

More parallel tasks ≠ less memory use.

Before scaling dynamic blocks, check dependencies, source reads, and reduce steps.

Guide 👇
https://t.co/O5zf82c6La

[Mage @mage_ai]

One warehouse query. Two AI sessions. Double the chargeback?

Overlapping sessions can inflate costs. Here's how to fix attribution in Mage 👇
https://t.co/kSnFs6KrEi

[Mage @mage_ai]

Mage OSS 0.9.80 is live 🎉

B2 support, restarts, faster browsing + reliability fixes.

https://t.co/Mmtsse6IUr

[Mage @mage_ai]

Pipeline schedules become risky when too many important jobs compete for the same window.

Mage Pro’s schedule heatmap makes trigger clusters and available windows visible before another schedule creates contention.

https://t.co/bGWwlnGo6v

[Mage @mage_ai]

A pipeline change is easier to trust when Git and deployment context stay together: inspect the change, work from the right branch, review it, and promote a known version.

Explore Mage Pro version control: https://t.co/iMwViYiJMZ

[Mage @mage_ai]

Starting from blank is useful when the work is new. For familiar jobs, the right pattern is faster. Mage Pro’s pipeline creation flow now includes a full template browser. https://t.co/osgAU3HONs

[Mage @mage_ai]

Connector setup should not require rebuilding context across three tabs.

Mage Pro can surface integration guidance in AI Sidekick while you configure or troubleshoot a connection.

https://t.co/dnmVEZcwks

[Mage @mage_ai]

Not every recovery needs a full rerun.

Mage Pro now adds Retry incomplete blocks to run-status menus, giving operators a narrower recovery action directly from the pipeline run.

https://t.co/nv9p3HmmRl

[Mage @mage_ai]

A pipeline finishing is often the start of the next task. Mage Pro callback blocks attach explicit follow-up actions to pipeline outcomes without hiding the logic in ordinary pipeline work. https://t.co/ypAJYTisQU

[Mage @mage_ai]

Put your data pipelines on autopilot with better evidence.

Compare data across runs and inspect structured outputs before editing production code: https://t.co/YZbBkMh7p4

[Mage @mage_ai]

Putting streaming pipelines on autopilot does not mean flying blind.

See lag, throughput, logs, and runtime diagnostics before degraded data becomes missing data: https://t.co/nv9p3HmmRl

[Mage @mage_ai]

Move one pipeline, many pipelines, or a full Mage project from one ZIP. Review conflicts before anything is written.

Put your data pipelines on autopilot.

https://t.co/UKcuWTGaT5

[Mage @mage_ai]

Keep the question, source data, chart, and next action in one conversation. AI Sidekick helps teams explore and act without another context switch. Put your data pipelines on autopilot.

https://t.co/8im8Hhcnok