Mage Website, Blog & Press Pages

Mage Website, Blog & Press Pages - aVenture

Mage - Library

mage.aiCrawled Oct 16, 2026

1 page

Platform/platform
Use Mage as the execution layer for data and AI workflows that build, run, validate, repair, and deliver trusted outputs.

7 pages

Blog/blog
Read Mage articles on data engineering, AI workflows, orchestration, integrations, and operating production pipelines.
Build data pipelines with your AI coding assistant: Meet mage-agent/blog/build-data-pipelines-with-your-ai-coding-assistant-meet-mage-agent
Mage Agent connects AI coding assistants to Mage Pro clusters via MCP and lets them list, create, modify, and run Mage pipelines using natural language. Its sync engine keeps local files aligned with the cluster.
Mage raised a Series A/blog/series-a
Mage raised a $12M Series A. The fun part is what comes next: less busywork, more real work, and AI-ready data people can trust.
Migrate your dbt Cloud project to Mage Pro/blog/migrate-your-dbt-cloud-project-to-mage-pro
The page says dbt Cloud projects can be moved to Mage Pro by cloning the project and running a pipeline, with migration taking about 10 minutes. Mage Pro blocks can connect to dbt models.

6 pages

Careers/company/careers
Join Mage to build the AI-native data platform for teams creating production data and AI workflows.
Customer Success Manager/company/careers/customer-success-manager
Turn adoption into advocacy for technical teams building with Mage.
Front-end engineer/company/careers/front-end-engineer
Turn complex data and AI systems into polished product experiences.
Full-stack engineer/company/careers/full-stack-engineer

1 page

Pricing/pricing
Choose a Mage plan for building, deploying, and operating data and AI workflows in production.

4 pages

Compare/compare
The page compares Mage with orchestrators, transformation tools, ELT tools, workflow platforms, and AI coding assistants for production data pipelines.
Mage Pro vs dbt Fusion: Best data platform comparison/blog/mage-pro-vs-dbt-labs
Mage Pro handles extraction, transformation, and loading with hundreds of connectors, real-time streaming, and multiple languages. dbt Fusion offers transformation features, semantic layers, and 30x faster performance, but requires external tools for a complete data stack.
Mage vs Airflow for ML and LLM workflows/blog/mage-vs-airflow-for-ml-and-llm-workflows
Mage offers a modern alternative to Apache Airflow for ML and LLM workflows, featuring native streaming and modular block-level recovery for improved agility.
Mage vs dbt + Fivetran: Choosing the right stack for AI-ready data pipelines/blog/mage-vs-dbt-fivetran-choosing-the-right-stack-for-ai-ready-data-pipelines
The article compares dbt + Fivetran and Mage Pro for teams building AI systems, including their support for structured and unstructured data and delivery across systems.

1 page

Homepage/
Automate production data pipelines with Mage AI. Run SQL and Python workflows, validate data quality, recover from failures, and optimize performance.

1 page

Privacy/legal/privacy
Mage Privacy Policy for website, service, marketing, and related personal information practices.

1 page

Terms/legal/terms
Mage Terms of Service for service access, subscription use, customer obligations, and related agreement terms.

1 item