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Last Updated: Jan 17. 2025

Mage

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About the Company

Mage provides a shared workspace created to simplify the process of data engineering, making it easier to quickly develop data products and AI applications. Data engineers and professionals make use of Mage for constructing, executing, and overseeing data pipelines and AI/ML pipelines, as well as crafting Retrieval Augmented Generation (RAG) systems and coordinating large language models (LLMs). Mage stands out because it integrates key data engineering features, enabling users with different levels of expertise to easily engage in AI engineering. This all-encompassing platform enables teams to effectively utilize data and AI, promoting creativity and speeding up project schedules in a cooperative setting.

Overall Details
Employees

Employees:

50-249

Headquarters

Headquarters:

Santa Clara, United States

Established

Established:

2021

Use Cases

Maximize team productivity with a developer-friendly interface. Enjoy an interactive code editor that provides instant visual feedback on execution results. Seamlessly combine dbt models with custom Python, SQL, or R code blocks in the same pipeline, and integrate data from 100+ third-party services.

Enhance code quality with streamlined workflows and reusable components. Leverage 100+ pre-written code blocks or build customizable templates to minimize development time and errors. Ensure data quality with a built-in testing and validation framework, and seamlessly deploy new code and data pipelines across environments.

Efficiently manage complex data operations across projects, regions, and timelines. Schedule pipelines, trigger them via events or API requests, or set them to complete at specific times. Share triggers across multiple pipelines, and backfill data dynamically with runtime configurations and custom code blocks.

Enhance uptime and reliability with robust observability tools. Track custom events, metrics, and set alert rules for real-time notifications. Manage cross-pipeline dependencies and execution flows seamlessly within projects. Leverage a data catalog, metadata management, and data lineage to maintain clarity and control over your data operations.

Safeguard sensitive data with advanced security features and fine-grained controls. Enforce granular data retention policies and manage secrets securely using a built-in secret manager with third-party integrations. Benefit from user audit trails, role-based access control, developer account management, and single sign-on (SSO). Ensure secure data operations with VPNs, SSL certificate authentication, dedicated static IPs, and regional deployments.

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Founder(s) Details

Tommy Dang-founder-Mage

Tommy Dang

CEO

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