What DataHub does

DataHub, operated by Acryl Data, Inc. and headquartered in Palo Alto, California, is an open-source metadata platform company that unifies data discovery, observability, and governance for enterprise AI and data ecosystems. The company delivers DataHub Core, a permissively licensed open-source metadata platform originally conceived at LinkedIn during the GDPR mandate and spun out as an independent entity in 2021, alongside DataHub Cloud, the managed enterprise SaaS offering. Its technology architecture spans three layers — a Context Store (metadata, knowledge, embeddings, memory), a Context Layer (Context Intelligence, Lineage, Metrics, Data Contracts, Data Quality, Access & Policy), and Context Activation (MCP Server, Agent Context Kit, APIs/SDKs, Skills, User Experience) — processing 4.7 billion metadata records per month across 80+ data source connectors at machine scale.

DataHub's revenue model is anchored in enterprise SaaS subscriptions (DataHub Cloud) sold via quote-based annual contracts through an enterprise field-sales motion, with a free trial entry point and the open-source DataHub Core as a freemium land motion. The customer base is concentrated in large enterprises across technology, financial services, telecommunications, and e-commerce — including Apple, Netflix, Pinterest, Visa, Slack, Deutsche Telekom, Block, FIS, Chime, Airtel, Etsy, Miro, Notion, and Foursquare. The company has raised $65 million in disclosed funding across two rounds ($21M Series A led by 8VC in June 2023 and $35M Series B led by Bessemer Venture Partners in May 2025), employs 101-250 people, and operates a multi-channel GTM combining direct enterprise sales, hyperscaler co-sell (AWS, Google Cloud), data-platform partnerships (Snowflake, Databricks, ClickHouse, Microsoft), open-source community land motion (15,000+ members, 3,000+ organizations), and AI agent ecosystem distribution via MCP-native integration with Claude, Cursor, OpenAI, Gemini, LangChain, and CrewAI.

Name

DataHub

Legal name

Acryl Data, Inc.

Website

https://datahub.com

Company type

Private

Founded year

2021

Operating status

Operating

Headcount range

11–50 employees

Short description

DataHub operates an open-source metadata platform (DataHub Core) and a managed enterprise SaaS (DataHub Cloud) that deliver AI-powered data discovery, observability, governance, and a context management layer for enterprise AI agents, serving large enterprises across technology, financial services, telecom, and e-commerce.

Ownership category

akta.pro rank

Product category

Data Catalog and Metadata Management Platform

NAICS

Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372)

akta.pro primary industry

Metadata, Catalog & Semantic Layer for Data Platforms (HDAEABAJ)

akta.pro secondary industry

Enterprise AI Data & Knowledge Platforms (Vector Databases, Knowledge Graphs) (HDAEANAH)

Keywords

• Data catalog platform
• Metadata management software
• Data observability tools
• Data governance platform
• AI context management

Headquarters

HQ city

Palo Alto

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Marketing or Sales, Infrastructure, Operations

Revenue model

1. DataHub Cloud (Managed SaaS): Recurring subscription revenue from DataHub Cloud, the enterprise-grade managed SaaS version of the platform, including AI-powered discovery, governance, observability, and the new Context Management Platform. Investment from Series B will support R&D, go-to-market, and AI governance expansion.
2. Open Source DataHub Core (Free / Land): Open-source core product used as a land motion that drives community adoption (15,000+ members, 3,000+ organizations, 10,000+ GitHub users) and feeds upgrades to the paid DataHub Cloud offering.
3. Enterprise Services & Custom Deployments: Enterprise field-sales motion offering personalized demos, technical evaluations, and architecture walkthroughs with DataHub engineers, suggesting deal sizes and professional services attached to large enterprise contracts.

Pricing tiers

Go-to-market motion5 records

Distribution channels5 records

Marketing channels10 records

Core offering

DataHub sells an AI & Data Context Management Platform that unifies data discovery, observability, governance, lineage, and a context graph for AI agents across an enterprise data estate. It is delivered as DataHub Cloud, a managed enterprise SaaS built on the open-source DataHub Core project, with 80+ native data source connectors, real-time ingestion, column-level lineage, smart assertions, and MCP-native activation for AI agents (Claude, Cursor, Snowflake Cortex, Databricks Genie, LangChain, CrewAI, Google ADK).

Product overview

DataHub is delivered as a single enterprise platform, DataHub Cloud, that is built on the open-source DataHub Core and offered as a unified product with a suite of named modules and AI capabilities. The platform comprises the core DataHub Cloud and DataHub Core offerings plus the modules Discovery, Observability (DataHub Observe), Governance, Lineage, AI Data Management, and the newly introduced Context Management Platform (Context Platform). Layered on top are AI-driven capabilities including Ask DataHub (the conversational assistant, extended by Ask DataHub Plugins), the Agent Context Kit (SDKs/workflows for building context-aware agents), the DataHub Skills Registry (open-source Skills library for connector and workflow automation), the DataHub MCP Server (Model Context Protocol integration), and DataHub Automations (Metadata Sync suite). Together these products and modules deliver AI-powered discovery, intelligent observability, automated governance, lineage, and a context graph for AI agents — covering the enterprise data and AI context management lifecycle end-to-end.

Differentiator

Problem solved

Functional benefit

Brands

• Acryl Observe: Real-time data quality monitoring module announced alongside the Series A funding; was in private beta at announcement.
• DataHub Cloud
• DataHub Core

Products and services

• DataHub Cloud Managed SaaS AI & Data Context Management Platform unifying discovery, observability, governance, lineage, AI data management, and context management across the enterprise data estate; built on DataHub Core with 80+ native connectors, smart assertions, automations, and MCP-native AI agent activation.
• DataHub Core Open-source metadata platform forming the foundation of DataHub Cloud, trusted by 3,000+ organizations and 15,000+ community members with 10,000+ GitHub users and 3M+ monthly downloads; available for self-hosting under a permissive license.
• DataHub Context Platform (Context Management Platform) New Context Management Platform introduced in DataHub Cloud v1 that sits between analytics agents (Databricks Genie, Snowflake Intelligence, Claude, Cursor, Gemini, LangChain, CrewAI, Google ADK) and enterprise data stores, providing a unified context graph with lineage, quality, and real-time context to push text-to-SQL accuracy beyond ~90% in production.

Quantifiable outcome

• Text-to-SQL accuracy improved from ~50% to ~90% for Miro after integrating DataHub's context layer
• +7 more outcomes

Named customers16 records

Segments5 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration31 records

AI capability11 records

Feature10 records

Partnerships

18 partnerships are on record, tiered strategic hyperscaler partner, flagship ecosystem partner, major ai framework integration, strategic ecosystem integration, ecosystem partner (osi working group), ecosystem/community partner, thought leadership partner and indirect / reference.

• Amazon Web Services (AWS)strategic hyperscaler partnerStrategic or Co-development PartnerAWS is one of DataHub's named primary partners. DataHub is hosted on AWS and uses AWS services (KMS, GuardDuty, Inspector) for infrastructure security. Joint webinars delivered (e.g., Talk to your Data on AWS with LangChain Deep Agents and DataHub).
• Google Cloudstrategic hyperscaler partnerStrategic or Co-development PartnerGoogle Cloud is a named DataHub partner with deep Agent Context Kit integration for Google ADK, Gemini CLI, and Vertex AI, enabling Google ADK + DataHub agents. DataHub also exhibited at Google Cloud Next 2026.
• Snowflakeflagship ecosystem partnerStrategic or Co-development PartnerDataHub joined Snowflake's Open Semantic Interchange (OSI) initiative as a launch partner to create a vendor-neutral semantic data standard. Also integrates with Snowflake Cortex Agents / Snowflake Intelligence and supports bi-directional metadata synchronization.
• Databricksflagship ecosystem partnerStrategic or Co-development PartnerDatabricks is a named primary DataHub partner with deep integration including Databricks Genie, Agent Bricks / AI Playground, and bi-directional Unity Catalog metadata sync (Tags & Descriptions). Databricks Asset Exchange supports the MCP integration.
• ClickHouseflagship ecosystem partnerStrategic or Co-development PartnerDataHub joined ClickHouse's House Mates partner program as a launch partner in June 2026, deepening co-innovation around the ClickHouse connector. ClickHouse adoption in the DataHub ecosystem has accelerated faster than any other data source in the past year.
• LangChainmajor ai framework integrationTechnology or IntegrationLangChain is integrated as an Agent Context Kit target platform for building context-aware agents with DataHub metadata; jointly delivered webinar "Talk to your Data on AWS with LangChain Deep Agents and DataHub".
• Anthropic (Claude)major ai framework integrationTechnology or IntegrationAnthropic Claude and Claude Code are supported as MCP clients connecting to the DataHub MCP Server; DataHub Skills Registry and Agent Context Kit are compatible with Claude Code. Claude is prominently featured as an integrated AI agent on the DataHub homepage.
• OpenAImajor ai framework integrationTechnology or IntegrationOpenAI is a supported MCP client for the DataHub MCP Server; DataHub Skills Registry is compatible with OpenAI Codex; Ask DataHub plugins can extend to ChatGPT via custom connectors.
• Cursormajor ai framework integrationTechnology or IntegrationCursor is integrated with the DataHub MCP Server for streaming agent access to enterprise context; Skills Registry is Cursor-compatible. Cursor is one of the logo agents featured on the DataHub homepage.
• Microsoft (Microsoft Fabric)strategic ecosystem integrationTechnology or IntegrationDataHub Cloud v0.3.17 (March 2026) shipped native Microsoft Fabric connectors (Fabric OneLake, Fabric Data Warehouse, Fabric Data Factory) enabling cross-platform lineage for Azure-based environments.
• Informaticaecosystem partner (osi working group)Strategic or Co-development PartnerInformatica is a participant in the Open Semantic Interchange (OSI) working group alongside DataHub and Snowflake; also referenced in DataHub's roadmap as a target for upcoming ingestion connectors.
• dltHubecosystem/community partnerTechnology or IntegrationdltHub engineers participated in DataHub's Silicon Valley technical meetup covering ingestion, storage, retrieval, and metadata integration across AI infrastructure layers.
• LanceDBecosystem/community partnerTechnology or IntegrationLanceDB engineers participated in DataHub's Silicon Valley technical meetup covering AI infrastructure layer integrations.
• CrewAImajor ai framework integrationTechnology or IntegrationCrewAI is integrated with DataHub via the Agent Context Kit and MCP server for context-aware multi-agent workflows; featured in DataHub customer story and demo content.
• Google Agent Development Kit (ADK)major ai framework integrationTechnology or IntegrationGoogle ADK is supported as a target for the DataHub Agent Context Kit with documented integration guide and Python tooling.
• João "Joe" Moura (CrewAI)thought leadership partnerGTM or Marketing PartnerFireside chat featured in DataHub's webinar series "Context for Agents" — shared perspectives on agent maturity, MCP, and context platforms.
• Jeff Weiner (LinkedIn)thought leadership partnerGTM or Marketing PartnerHosted "Leading Through the AI Revolution: A Conversation with Jeff Weiner" webinar in October 2025 covering LinkedIn's playbook for data-driven decisions, trusted systems, and preparing teams for AI.
• Tesla / Lyft / Capital One (ClickHouse reference customers)indirect / referenceOthersListed as ClickHouse reference customers in the joint partnership announcement between DataHub and ClickHouse to illustrate the deployment scale of the ClickHouse + DataHub ecosystem.

Scale indicators18 records

Recent moves8 records

Expansion highlights6 records

Broad incumbents

• Collibra: Collibra is an enterprise data intelligence platform that overlaps directly with DataHub's governance and catalog capabilities, but extends into broader data quality, privacy, and stewardship workflows at a much larger scale and public-market profile.
• Alation: Alation is the largest enterprise data catalog vendor and competes directly with DataHub on data discovery, governance, and lineage for Fortune 500 buyers, but offers a broader, more mature product suite and larger installed base.
• Informatica: Informatica is a broad data integration and governance suite whose CLAIRE-powered catalog and data quality offerings compete with DataHub's governance, lineage, and observability modules, especially in large regulated enterprises.
• Microsoft Purview: Microsoft Purview is the native data governance and catalog suite within the Microsoft Fabric ecosystem that competes with DataHub for enterprise metadata, lineage, and governance workloads on Azure, often bundled with existing Microsoft enterprise agreements.

Emerging players

• Bigeye: Bigeye is a data observability platform that competes with DataHub's Observability module on data quality and anomaly detection, and increasingly extends into the broader trusted-data-for-AI narrative that DataHub leads with its Context Management Platform.
• Monte Carlo: Monte Carlo is a data observability platform that overlaps with DataHub's Observability module on data quality, freshness, and anomaly detection, and increasingly competes in the broader 'trusted data for AI' category DataHub targets.

Direct peers

• Atlan: Atlan is a modern AI-native data catalog and metadata platform that competes directly with DataHub Cloud on enterprise discovery, lineage, governance, and active metadata; both companies target data platform teams at large enterprises and have overlapping AI-context/agent positioning.
• Amundsen (Lyft / Stemma): Amundsen is an open-source data discovery and metadata platform originally built at Lyft that competes directly with DataHub Core for self-hosted metadata deployments focused on data search and discovery.
• Apache Atlas: Apache Atlas is an open-source metadata and governance framework that competes directly with DataHub Core in the open-source metadata category, particularly for Hadoop-adjacent and Hadoop-replacement deployments, and is frequently listed alongside DataHub in catalog comparisons.
• OpenMetadata: OpenMetadata is an open-source metadata platform with discovery, lineage, governance, and observability modules that competes directly with DataHub Core for open-source self-hosted deployments and is often listed alongside DataHub in head-to-head OSS catalog comparisons.

Market position

Strengths5 records

Weaknesses1 record

Competitive moat6 records

Key risks5 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/datahub-project/datahub
• YouTubeyoutube.com/@DataHubCloud
• Xx.com/DataHubCloud
• LinkedInlinkedin.com/company/datahub-cloud

Revenue estimate

Valuation estimate

Number of profiles

Profiles10 records

Funding overview

Funding rounds4 records

Investors16 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about DataHub