Keep Stripe customers synced to Salesforce every hour.
I created a workflow with sources, checks, and review.
workflowsourceschecks
Unify. Replace fragmented tools, one-off scripts, and handoffs with one execution layer from source to action.
Describe what you need. Mage AI builds and runs the data pipeline.
Connect sources, generate SQL and Python, validate outputs, schedule every run, and recover failures in one production system.
Product demos
Build an editable production pipeline
Connect sources, inspect every block and dependency, and keep the pipeline editable as it runs in production.Explore workflows
Trusted by data teams at
Connect data sources. Build editable logic. Orchestrate every run. Deliver trusted outputs.
Pull Stripe customers
Match Salesforce accounts
Write to BigQuery
Check duplicates
Build. Go from intent to production faster with AI-generated workflows and reusable business logic.
Daily AnalyticsRecovered automatically
43 records repaired and writtenComplete
Repair. Keep critical runs reliable with monitoring, replay, and automatic recovery.
acct_id
accountId
customer_id
customerReusable
Standardize. Make messy data and legacy logic clean, validated, and reusable across workflows.
Dashboard
API response
{ customer_id: 1842
segment: "active"Agent context
Customer history available
Reusable outputcustomer_contextLive
Deliver. Put trusted data to work across dashboards, products, automations, APIs, and agents.
Run pausedWaiting
LoadTransformExport
Upstream dataCurrent
Write accessConfirmed
Resume fromTransform
Govern. Control operational risk with visibility, permissions, approvals, and auditability built in.
Mage goes beyond orchestration: it monitors runs, helps recover from failures, and turns governed outputs into reusable context for analytics, applications, automations, and AI.
Run Mage anywhere.
Cloud
Everything managed.
Self-hosted
Runs in your infrastructure.
