DataHub Tech Stack

Open-source metadata platform for AI and data governance at scale

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

DataHub is a metadata management platform handling 3M+ PyPI downloads monthly, built on an extensible graph architecture with lineage-driven compliance. The stack—Python, PyTorch, TensorFlow, Kafka, Spark, dbt, Airflow—reflects a data-platform organization shipping both open-source and cloud variants. Active project focus on real-time metadata processing, scalable ingestion, and observability infrastructure signals DataHub is scaling toward enterprise customers managing machine-scale metadata volumes while addressing adoption friction and customer churn risks.

Tech Stack 42 technologies

Core StackPyTorch TensorFlow Python Snowflake Redshift Kafka React TypeScript Cypress GraphQL Slack Apache Kafka Apache Spark dbt Apache Airflow Databricks Java Docker Kubernetes AWS Elasticsearch Jira Dagster Enzyme React Testing Library Apollo Spring Boot GCP pytest Linear+12 more

What DataHub Is Building

◆Challenges

Unified governance
Metadata crisis
Machine-scale metadata management
Complex customer issues
Product improvement based on feedback
Ai system reliability
Data discovery lineage governance
Data discovery lineage challenges
Low adoption of data platform
Customer churn risk

▲Active Projects

Real-time metadata processing
Escalation resolution
Product improvement based on feedback
Customer-facing resources development
Scalable infrastructure for datahub cloud
Monitoring and observability systems
Chaos engineering practices
Platform framework development
Scalable ingestion systems
Example projects and sample code for developers

Hiring Activity

Accelerating7 roles · 2 in 30d

Department

Engineering

Support

Seniority

Mid

Senior

Lead

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About DataHub

DataHub provides discovery, governance, and observability for data and AI assets through a dual-product model: an open-source core (DataHub Core) and a fully-managed cloud offering (DataHub Cloud). The platform connects to 80+ data sources, ingests metadata at high velocity, and includes AI-based enhancements for discovery and quality management. The company operates at 51–200 employees, headquartered in Palo Alto, and maintains active engineering and support operations across the United States, India, and the United Arab Emirates. DataHub's open-source foundation has generated a community of over 13,000 users.

HeadquartersPalo Alto, California

Company Size51–200 employees

Founded2021

Hiring MarketsUnited Arab Emirates, United States, India

Frequently Asked Questions

What is DataHub's tech stack built on?

DataHub uses Python, PyTorch, TensorFlow, Kafka, Apache Spark, Airflow, dbt, GraphQL, React, TypeScript, Elasticsearch, Kubernetes, Docker, and AWS/GCP. The stack spans real-time processing, ML frameworks, data transformation, and cloud infrastructure.

How many employees does DataHub have?

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

How this profile is built

DataHub's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.