Mage

Mage
Mage
  • Headquarters

    San Francisco, CA
  • Founded

    2020
  • CEO / Founder

    Tommy Dang
  • Employees

    11-50
  • Funding

    Seed — $6.3M
  • Products

    1 product listed
  • Avg. AI Score

    7.1/10

Profile updated

Products
1
Avg AI Score
7.1/10
Founded
2020
Funding
$5.8M
About Mage

Mage is an open-source data pipeline tool founded in 2020 in San Francisco by Tommy Dang. The product provides a hybrid notebook-and-code interface for building, orchestrating, and deploying data pipelines, offered as both open-source software and a hosted cloud service.

Mage targets data engineers and teams building ETL/ELT and AI workflows, competing with Airflow, Prefect, and Dagster.

The company has raised approximately $6.3 million, including a seed round led by Gradient Ventures. Tommy Dang, previously at Airbnb, serves as CEO.

Specialties
Data OrchestrationETLOpen Source Data ToolsPipeline AutomationAI Workflows
Financials

Dated, source-cited figures. Estimates are marked.

Total Raised
$5.8M
sec.gov
Products by Mage

All products by Mage reviewed by our AI panel of experts.

How Our Review Panel Scores Mage

Six independent reviewer personalities assessed Mage's product on their own terms. They disagreed by 1.6 points — The Skeptic was the hardest to convince, The Domain Strategist the most positive.

The Domain Strategist
7.8
The Decision Maker
7.2
The Finance Lead
7.2
The Domain Practitioner
7.2
The Power User
7.2
The Skeptic
6.2

Averaged across 1 reviewed product in our catalog. Scores are out of 10.

Competitive Landscape

Who Mage competes with, and how they differ.

A
Apache Airflow

Airflow is the older, DAG-based orchestrator Mage is built to replace: Airflow requires writing DAGs as separate Python scripts, while Mage bundles ingestion, transformation, and orchestration into single-file, notebook-style pipeline blocks with a built-in local UI.

Dagster logo
Dagster8.2/10

Dagster is a newer, also open-source-with-managed-cloud orchestrator pitching the same "better developer experience than Airflow" positioning, but centers pipelines around typed, software-defined data assets rather than Mage's block-based notebook pipelines.

1 product reviewed on TopReviewed
Prefect logo
Prefect7.9/10

Prefect targets the same Python-first, Airflow-replacement niche using dynamic, code-defined flows and a hybrid execution model, versus Mage's emphasis on an interactive notebook UI for building and debugging pipelines.

1 product reviewed on TopReviewed
Airbyte logo
Airbyte8.2/10

Airbyte is an open-source EL(T) connector platform that Mage's own comparison page names directly: Airbyte specializes in prebuilt data-source connectors, while Mage bundles lighter-weight ingestion together with orchestration and transformation in one tool.

1 product reviewed on TopReviewed
Fivetran logo
Fivetran8.1/10

Fivetran is a fully-managed, closed-source ELT service; Mage's own comparison page contrasts itself as giving teams more control over custom transformation and orchestration logic than Fivetran's managed connectors allow.

1 product reviewed on TopReviewed
dbt Labs logo
dbt Labs8.4/10

dbt is the standard SQL-transformation layer many data teams pair with a separate orchestrator; Mage's own comparison page positions itself as covering ingestion, orchestration, deployment, and observability beyond dbt's transformation-only scope.

1 product reviewed on TopReviewed
Company Timeline

Key milestones in Mage's history, with sources.

  1. Funding

    Seed extension — $5,487,999 per SEC Form D

    Mage Technologies, Inc. filed a Form D with the SEC disclosing $5,487,999 sold in an equity offering that began 2023-03-02, an extension of its seed round from the same investor group (Gradient Ventures) per contemporaneous funding trackers.

    sec.gov
  2. Launch

    Launches open-source data pipeline tool on Product Hunt, pivoting to an Airflow alternative

    Mage launched its open-source data pipeline orchestration tool on Product Hunt (#1 Product of the Day), repositioning from its original 2021 low-code AI-app-builder pitch to "the modern replacement for Airflow" — building, running, and managing data pipelines with Python, SQL, and R.

    producthunt.com
  3. Funding

    Seed — $6.3M led by Gradient Ventures

    Mage raised a $6.3 million seed round led by Gradient Ventures (Google's AI-focused fund), with participation from Neo, Designer Fund, and angel investors including Unity CEO John Riccitiello, Behance founder Scott Belsky, and Lenny Rachitsky. At the time the company was positioned as a low-code tool for product developers to build AI into their apps.

    techcrunch.com
  4. Founded

    Founded by Tommy Dang and Xiaoyou Wang

    Mage Technologies, Inc. was founded at the end of 2020 by Tommy Dang (CEO) and Xiaoyou Wang, and incorporated in Delaware (confirmed by SEC EDGAR filings, CIK 0001845772, yearOfInc=2020).

    techcrunch.com

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Mage — Products & AI Reviews | TopReviewed.ai