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DataHub Tech Stack

Open-source metadata platform for data governance and AI asset discovery

Software Development Palo Alto, California 51–200 employees Founded 2021 Privately Held

DataHub operates a metadata management platform built on a graph architecture designed to handle discovery, governance, and observability across data and AI systems. The stack is heavy on data infrastructure (Kafka, Spark, Airflow, Snowflake, Redshift, dbt) and backend languages (Python, Java, Scala, Go), with a modern frontend (React, TypeScript, GraphQL). The engineering-dominant hiring shape (15 of 21 active roles) paired with projects focused on connectors, cloud-native ingestion, and real-time metadata processing suggests the company is scaling platform maturity and breadth rather than feature velocity.

What DataHub Is Building

Challenges

  • Lack of unified governance
  • Ai system reliability
  • Metadata crisis
  • Data chaos
  • Machine-scale metadata management
  • Data discovery lineage challenges
  • Enterprise ai deployment complexities
  • Product improvement based on feedback
  • Complex customer issues
  • Operational metadata ingestion

Active Projects

  • Build connectors for major systems in modern data and ml stacks
  • Enable ingestion framework to run in cloud native environment
  • Data discovery, observability & governance enhancements
  • Example projects and sample code for developers
  • Saas platform core capabilities
  • Enhance ingestion framework for usage statistics, lineage, and operational metadata
  • Real-time metadata processing
  • Automated data classification and pii detection
  • Field marketing events
  • High-performance consumer-grade data platform

Hiring Activity

Decelerating20 roles · 5 in 30d

Department

Engineering
15
Support
2
Data
1
Marketing
1
Product
1
Sales
1

Seniority

Senior
13
Mid
4
Lead
3
Manager
1

Notable leadership hires: AI Tech Lead

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About DataHub

DataHub provides an open-source and cloud-managed platform for metadata management, data governance, and observability. The platform connects to over 80 data sources and processes millions of metadata events monthly, targeting technical teams and enterprises deploying AI and data systems at scale. The dual open-source and SaaS model (DataHub Core and DataHub Cloud) positions the company for both community adoption and managed service revenue. Founded in 2021 and based in Palo Alto with 51–200 employees, DataHub operates across the United States, India, UAE, and Australia, reflecting distributed engineering and support operations.

HeadquartersPalo Alto, California
Company Size51–200 employees
Founded2021
Hiring MarketsUnited States, United Arab Emirates, India, Australia

Frequently Asked Questions

What tech stack does DataHub use?

DataHub uses PyTorch, TensorFlow, Python, Kafka, Spark, Airflow, Snowflake, Redshift, dbt, React, TypeScript, GraphQL, and Kubernetes. Backend languages include Java, Scala, Kotlin, Go, and Node.js.

Where is DataHub headquartered?

DataHub is headquartered in Palo Alto, California. The company was founded in 2021 and is privately held with 51–200 employees.

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