Brittle execution
Turn scripts, cron jobs, notebooks, and manual jobs into scheduled runs you can monitor, retry, inspect, and trace.
AI-native data platform
The execution layer for complex data work
Build production workflows across apps, APIs, warehouses, and agents.
Ingest, transform, orchestrate, monitor, and activate data in one programmable systemFresh dataReusable contextOperational actionGoverned execution
Build workflows your business depends on
Go from raw sources and custom logic to outputs teams can trust, reuse, govern, and act on.
Keep data current across the systems that need it.
Fresh dataReusable contextOperational actionGoverned execution
Replace brittle scripts, fragmented tools, messy handoffs, and ad hoc governance with one execution layer.
When data work outgrows your stack
One execution layer for the work your business keeps reinventing.
Fragmented tooling
Unify work spread across connectors, dbt, BI, APIs, SaaS tools, and scripts into one execution layer from source to output.
Messy data
Apply custom cleanup, validation, and standardization without trapping logic in one-off scripts.
Lack of control
Add visibility, permissions, secrets, auditability, and deployment control as usage spreads across teams.
The layer that turns data and logic into action
Turn existing data into actionable outputs your teams and products need.
- Step 1
Connect
Bring in data from databases, warehouses, SaaS tools, files, APIs, streams, dbt projects, and scripts.
- Step 2
Execute
Run logic that transforms, validates, orchestrates, and monitors data with Python, SQL, R, dbt, and AI.
- Step 3
Deliver
Send actionable outputs to the teams, products, applications, dashboards, APIs, and agents that need them.
Built for real production data use cases
Run the data work behind reporting, products, operations, and AI.
Keep data fresh across systems
Move data from APIs, databases, SaaS tools, files, streams, and warehouses when standard connectors are not enough.
- API, database, file, and warehouse syncs
- Batch, streaming, and scheduled refreshes
- Custom ingestion for non-standard sources
Orchestrate dbt with the rest of your stack
Run dbt with upstream checks, downstream actions, alerts, retries, scheduling, and Python/SQL logic around it.
- dbt jobs with upstream dependency checks
- Python and SQL logic around warehouse transformations
- Downstream delivery after models finish running
Standardize messy operational data
Turn spreadsheets, PDFs, XML, SOAP, public datasets, customer files, and schema variations into usable outputs.
- File, vendor, and public dataset processing
- Schema mapping, validation, and normalization
- Reusable outputs from inconsistent source formats
Automate reporting and alerts
Refresh reports, detect exceptions, and send outputs to the teams that need them.
- Scheduled reporting refreshes
- Data quality, pacing, and exception alerts
- Dashboards, spreadsheets, and team alerts
Power product and API workflows
Move transformed data into product databases, internal APIs, customer-facing systems, and downstream services.
- Product database updates
- Internal API and service integrations
- SFTP, CRM, webhook, and callback-based delivery
Run AI, ML, and recommendation workflows
Prepare context, run models, process LLM outputs, trigger agents, and deliver AI results into production systems.
- AI-ready context preparation
- Model scoring, feature prep, and recommendations
- LLM classification, enrichment, and agent workflows
One system for production data work
Develop, test, schedule, monitor, scale, and deliver data workflows without stitching tools together.
Flexible development
Write real logic with the languages, tools, and patterns your team already uses.
PythonSQLRdbtCustom connectorsReusable blocksTemplatesAI-assisted building
Learn moreVisual, interactive building
Build, test, validate, and debug each step with structure around the code.
Visual graphBlock-level runsData previewsCode + outputInteractive editorNotebook-style UXValidation checks
Learn moreProduction orchestration
Run recurring, event-driven, and dependency-aware work without managing separate orchestration glue.
SchedulesAPI triggersWebhooksBackfillsPipeline chainingDependency checksRuntime variables
Learn moreScalable execution
Handle high-volume, parallel, dynamic, and long-running data work.
Dynamic blocksParallel executionFan-out / fan-inStreamingBatch processingAutoscalingHigh concurrency
Learn moreObservability and recovery
See what ran, what failed, and what needs attention.
Run historyPipeline logsBlock-level logsMonitoringAlertsAI debuggingTargeted rerunsData quality checks
Learn moreOperational activation
Send outputs to the systems, teams, and products that need to act on them.
API callsSFTP exportsSlack alertsCRM updatesWebhooksCallbacksFile deliveryEvent-triggered actions
Learn moreGovernance and team control
Let more teams build safely without losing visibility or control.
WorkspacesRBACSecretsGitVersion controlAuditabilityDeployment controlsEnvironment separation
Learn moreManaged infrastructure
Run production data work without managing the platform yourself.
Managed hostingAutomatic upgradesAutoscalingOperational supportHybrid cloudSupport SLAs
Learn moreAI-ready data
Give AI the context it needs to work in production
Turn data workflows into reusable business context that agents can safely act on.
Understand the business
Reusable definitions, metadata, and validated outputs.
Trust the data
Fresh workflows, tests, lineage, monitoring, and observability.
Act safely
API calls, alerts, reports, system updates, and workflow triggers.
Stay governed
Permissions, secrets, auditability, access boundaries, and deployment controls.
Deploy and run your way
Choose fully managed cloud or deploy into your own infrastructure for greater control over data, networking, and security.
Fastest time to value. Zero infra to manage.
Fully managed cloud
Start building without managing servers, upgrades, scaling, or platform operations.
Start free trialHybrid cloud, private cloud, and on-premises.
Deployed into your infrastructure
Run workloads in your environment while Mage manages upgrades, monitoring, and ops.
Contact salesGet Started