Top Sites>DataHub | AI & Data Context Management Platform

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Sitemap: https://datahub.com/sitemap_index.xml

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# DataHub

## Sitemaps
[XML Sitemap](https://datahub.com/sitemap_index.xml): Includes all crawlable and indexable pages.

## Blog
- [How to Use the DataHub Cloud Value Estimator](https://datahub.com/blog/how-to-use-the-datahub-cloud-value-estimator/): Use this business value estimator to build a credible business case, grounded in third-party research, for what DataHub Cloud can deliver for your organization.
- [Launching our Connector to GCP Knowledge Catalog](https://datahub.com/blog/gcp-knowledge-catalog-connector/): DataHub's GCP Knowledge Catalog connector supports bidirectional sync across Vertex AI, BigQuery, Pub/Sub, and more. Now in v1.5.0.2.
- [DataHub Now Integrates with Google BigLake Iceberg REST Catalog](https://datahub.com/blog/google-biglake-iceberg-rest-catalog-integration/): DataHub now ingests Iceberg metadata from Google BigLake's REST Catalog. No duplicate entries. Available in v0.14.1.
- [What Is a Context Engineer (and Is It Your Next Role)?](https://datahub.com/blog/context-engineer/): Context engineers build the systems that make AI agents reliable. Here's what the role involves and why data engineers are a natural fit.
- [Context Engineering vs Prompt Engineering](https://datahub.com/blog/context-engineering-vs-prompt-engineering/): Context engineering vs prompt engineering: What changed, what's different, and the infrastructure layer most teams are missing.
- [Context Engineering vs Context Management](https://datahub.com/blog/context-engineering-vs-context-management/): Context engineering optimizes one agent. Context management scales trusted context across all of them. See how.
- [Context Window Optimization](https://datahub.com/blog/context-window-optimization/): Context window optimization techniques for AI agents, plus why upstream context quality determines the ceiling.
- [RAG vs. Context Management](https://datahub.com/blog/rag-vs-context-management/): RAG is a retrieval pattern. Context management is the infrastructure that makes it work at scale. Learn the difference.
- [Context Management for Data Analysts](https://datahub.com/blog/context-management-for-data-analysts/): AI can write SQL. Context management is the new skill set that keeps data analysts indispensable.
- [​Agents, Apps & the Art of Extension: March 2026 Town Hall Highlights](https://datahub.com/blog/march-2026-town-hall-highlights/): Ask DataHub in production, micro frontends, Agent Context Kit, and Skills Registry updates—all from the March 2026 DataHub town hall
- [What Is a Context Window?](https://datahub.com/blog/what-is-a-context-window/): Learn what a context window is, how tokens work, why context limits matter for AI agents, and what it takes to manage context at scale.
- [Context Management Strategies That Actually Scale](https://datahub.com/blog/context-management-strategies/): Context management strategies that work at scale require organizational infrastructure, not just better prompts. Learn how to build one.
- [Context Management Tools in 2026](https://datahub.com/blog/context-management-tools/): Four types of tools claim the "context management" label. Here's how the landscape breaks down and what to evaluate.
- [What Is a Context Graph and Why Does It Matter for AI Agents?](https://datahub.com/blog/context-graph/): A context graph unifies metadata and knowledge into one network AI agents can act on. Here's what it takes to build one.
- [AI-Generated Documentation and Context Propagation](https://datahub.com/blog/benefits-of-ai-generation-documentation-and-context-propagation/): AI-generated documentation solves cold-start. Context propagation makes it stick. See how the two work together.
- [Supercharging Snowflake Agents with DataHub Context](https://datahub.com/blog/snowflake-agents-with-datahub-context/): Snowflake agents are only as smart as the context they have. Learn how DataHub's Agent Context Kit adds business definitions, lineage, and data quality.
- [Building Autonomous Data Agents with DataHub Agent Context Kit](https://datahub.com/blog/building-autonomous-data-agents/): Build autonomous data agents that understand your data. DataHub Agent Context Kit gives agents the metadata, lineage, and definitions they need.
- [A Practical Guide to MCP Context Management](https://datahub.com/blog/mcp-context-management/): Learn the five pillars of MCP context management and why AI agents need more than a protocol to deliver trustworthy answers.
- [Introducing DataHub Open Source Skills Registry](https://datahub.com/blog/datahub-open-source-skills-registry/): Every organization has a shared understanding of its data. What's trustworthy, what's sensitive, how things connect, what the business terms actually mean. In many organizations, DataHub is where that context lives — as curated descriptions, context documents, glossary terms, ownership, lineage, quality signals, usage patterns, sample queries, and more. It's a complete record of your entire data landscape that captures not just what data exists, but what it's for and whether you can trust it.
- [What Are Data Contracts? A Practical Guide to Getting Started](https://datahub.com/blog/the-what-why-and-how-of-data-contracts/): If you work with data at any scale, you've probably felt the problem data contracts are designed to solve, even if you didn't have a name for it.
- [DataHub: The Semantic Backbone of Enterprise Data Analytics Agents](https://datahub.com/blog/semantic-backbone-of-enterprise-data-analytics-agents/): We've seen the same pattern emerging across multiple organizations that we work closely with. The teams that are making real progress towards data democratization are doing so through analytics agents that start with the semantics — a structured understanding of what your data means, not just where it lives or how it's formatted. Increasingly, we are seeing organizations start with DataHub.
- [Ask DataHub](https://datahub.com/blog/ask-datahub/): Find data faster, debug quality issues, and generate accurate SQL with Ask DataHub — the AI assistant built into DataHub
- [Data Products: From Concept to Implementation](https://datahub.com/blog/data-products-in-datahub-everything-you-need-to-know/): What happened is something we've watched play out across the DataHub community for years now: Data products got caught in the crossfire between data mesh theology, competing vendor definitions, and a gap between the people who design data products on whiteboards and the people who have to make them work in production. The result is a concept that everyone endorses, and almost nobody operationalizes.
- [Introducing DataHub Cloud v0.3.17](https://datahub.com/blog/datahub-cloud-v0-3-17/): DataHub Cloud v0.3.17 brings native Microsoft Fabric connectors for cross-platform lineage, Ask DataHub Plugins for multi-tool context, and smarter data quality monitoring.
- [Part 2: How to Implement Data Mesh (Without Replacing One Bottleneck With Another)](https://datahub.com/blog/what-is-a-data-mesh-and-how-to-implement-it-in-your-organization/): Learn how Foursquare uses H3 indexing, Spatial Desktop, and an AI-powered Spatial Agent with DataHub as the discovery engine for geospatial datasets.
- [Part 1: What Is Data Mesh? Architecture, Principles, and Why It Matters for AI](https://datahub.com/blog/what-is-data-mesh/): Learn how Foursquare uses H3 indexing, Spatial Desktop, and an AI-powered Spatial Agent with DataHub as the discovery engine for geospatial datasets.
- [Data Lineage: What It Is and Why It Matters](https://datahub.com/blog/data-lineage-what-it-is-and-why-it-matters/): Data lineage tracks where data comes from, how it transforms, and where it ends up. Learn why it matters and how to implement it across your stack.
- [How Foursquare Uses DataHub for Geospatial Dataset Discovery](https://datahub.com/blog/foursquare-geospatial-data-discovery-datahub/): Learn how Foursquare uses H3 indexing, Spatial Desktop, and an AI-powered Spatial Agent with DataHub as the discovery engine for geospatial datasets.
- [Part 2: How DataHub MCP Closes the Context Gap](https://datahub.com/blog/agents-in-production-datahub-mcp/): Learn how DataHub closes the context gap for MCP-connected AI agents—giving them the lineage, ownership, and quality signals they need to move from prototype to production.
- [Part 1: What Is an MCP Server? Model Context Protocol Explained](https://datahub.com/blog/mcp-server-101/): Learn what an MCP server is, how the Model Context Protocol works, and why AI agents need more than connectivity to be production-ready.
- [Accelerating Connector Development with AI Skills](https://datahub.com/blog/datahub-town-hall-ai-skills/): Explore February’s DataHub Town Hall: learn how AI skills help build connectors in hours, see Foursquare’s spatial agent, and preview the 2026 roadmap.
- [The Data Engineer’s Guide to Context Engineering](https://datahub.com/blog/context-engineering/): Context engineering needs your data engineering skills. Learn how metadata, governance, and pipeline expertise translate to building context for AI agents.
- [Powering AI Agents with Context: DataHub January 2026 Town Hall Highlights](https://datahub.com/blog/datahub-town-hall-powering-ai-agents-with-context/): DataHub Town Hall: Solving AI agent context challenges with context graph expansion, agent integrations for Snowflake, LangChain, and more.
- [Context Management Is the Missing Piece in the Agentic AI Puzzle](https://datahub.com/blog/context-management/): Context management gives AI agents secure, reliable access to enterprise data. Learn what it is and how to implement it.
- [What Is an AI Data Catalog?](https://datahub.com/blog/ai-assisted-data-catalogs-an-llm-powered-by-knowledge-graphs-for-metadata-discovery/): Not every "AI data catalog" delivers real AI capabilities. Learn what AI actually does in a modern catalog—and the architecture required to make it work.
- [Extracting Column-Level Lineage from SQL](https://datahub.com/blog/extracting-column-level-lineage-from-sql/): Data people really care about data lineage, particularly from SQL.
- [What is AI Data Management?](https://datahub.com/blog/ai-data-management/): AI data management automates metadata toil while managing data for AI systems. Learn what separates legacy catalogs from AI-native platforms.
- [What Is a Data Catalog?](https://datahub.com/blog/what-is-data-catalog/): A data catalog is more than a searchable inventory. Learn how modern AI data catalogs unify discovery, governance, and observability for both humans and machines.
- [What is Data Discovery?](https://datahub.com/blog/what-is-data-discovery/): Modern data discovery goes beyond search. Learn how AI-powered platforms enable conversational discovery, automated lineage, and unified visibility across data and AI systems.
- [DataHub Cloud Updates](https://datahub.com/blog/datahub-cloud-v0-3-16/): DataHub Cloud v0.3.16 brings Ask DataHub directly into the platform for conversational data discovery. Learn what's new.
- [How to Implement Data Governance Without Slowing Down Your Team](https://datahub.com/blog/how-to-implement-data-governance/): How do you implement data governance without killing velocity? Learn the shift-left and design principles that helped ICA Gruppen succeed.
- [Data Governance: Building Production-Ready Foundations for AI and Analytics](https://datahub.com/blog/what-is-data-governance/): Learn how modern data governance enables production AI with continuous monitoring, automated validation, and unified metadata management.
- [Building AI Agents You’d Trust in Production: December 2025 Town Hall Highlights](https://datahub.com/blog/datahub-town-hall-building-ai-agents/): DataHub town hall highlights: Explore 3 major releases that transform DataHub into a context platform for building AI agents you'd trust in production.
- [What is Data Observability? A Complete Guide for Data Teams](https://datahub.com/blog/what-is-data-observability/): Learn what data observability is, how it differs from monitoring, and how to implement it to cut incident resolution from hours to minutes.
- [What is Metadata Management? A Guide for Enterprise Data Leaders](https://datahub.com/blog/what-is-metadata-management/): Modern metadata management transforms data chaos into AI-ready infrastructure. Learn what separates passive catalogs from active platforms.
- [Data Governance in Financial Services: How to Turn Compliance Into Your AI Advantage](https://datahub.com/blog/data-governance-in-financial-services-ai/): Two bank data governance leaders reveal why BCBS 239 compliance infrastructure is the same foundation that makes AI possible—and how to build it.
- [DataHub Cloud Updates November, 2025](https://datahub.com/blog/datahub-cloud-v0-3-15/): DataHub Cloud v0.3.15 introduces attachment uploads for asset documentation, custom AI prompts for search and docs generation, SQL assertion anomaly detection, bulk subscriptions management, and streamlined structured properties.
- [CONTEXT 2025 Highlights: How Industry Leaders Are Preparing for Enterprise AI Agents ](https://datahub.com/blog/context-2025-highlights/): CONTEXT 2025 brought 1,500+ data leaders together to explore how enterprise AI agents succeed with context management. Watch sessions from Apple, Netflix & more.
- [How DataHub Integrates with Snowflake Horizon to Unify Metadata Across Your Entire Data Stack](https://datahub.com/blog/how-datahub-integrates-with-snowflake-horizon/): DataHub is proud to be part of the Snowflake Horizon ecosystem. Horizon is Snowflake’s built-in governance solution that unifies compliance, security, privacy, interoperability and access capabilities in the Snowflake Data Cloud. DataHub helps organizations extend that capability to every Kafka topic, every AI model, every dashboard, and every legacy system across the enterprise.
- [Data Observability Made Smarter: What’s New in DataHub Observability](https://datahub.com/blog/data-observability-updates/): We're excited to announce the release of DataHub Cloud v0.3.14, focused on accelerating organization-wide adoption, enabling quality monitoring at scale, and empowering teams to customize how critical information is displayed.

## Pages
- [The ROI of DataHub Cloud](https://datahub.com/roi/): Independent research from IDC and sponsored by DataHub, quantifies what DataHub Cloud customers already know: context management delivers substantial economic value. Here's the proof.
- [AWS Partner Page](https://datahub.com/partners/aws/): Unify context across your AWS data platform. Make it AI-ready with DataHub.
- [Google Cloud Partner Page](https://datahub.com/partners/google-cloud/): Add business context, governance, and lineage to your Google Cloud Data so teams can move faster with confidence.
- [Partners](https://datahub.com/partners/): We partner with leading technology and services companies to help our customers get more value from their data, faster.
- [DataHub Town Halls](https://datahub.com/community/datahub-town-halls/): Missed a session? Catch up on our most recent Town Halls — packed with product demos, community stories, roadmap updates, and answers to your biggest questions.
- [DataHub Office Hours](https://datahub.com/community/office-hours/): ​​Join us every week for a 30-minute drop-in session with the core DataHub team — get your questions answered in real time.
- [GCP-Free-Trial](https://datahub.com/google-cloud-free-trial/): Start your DataHub Cloud free trial. Connect BigQuery to discover insights, and deploy data quality checks—all with guided implementation support included.
- [customer testimonial synced pattern test](https://datahub.com/customer-testimonial-synced-pattern-test/): the issue here is that it should be only showing the thumbnail version of this image, but I believe it's showing the full one instead.
- [Snowflake Partner Page](https://datahub.com/partners/snowflake/): Add business context, governance, and lineage to your Snowflake Data so teams can move faster with confidence.
- [Free-Trial](https://datahub.com/free-trial/): DataHub's engineering experts manage your deployment so you can focus on outcomes. As maintainers of the leading open source data catalog, we know how to eliminate the operational overhead of self-hosting while adding enterprise capabilities that help data teams scale without adding headcount.
- [Talk to Sales](https://datahub.com/talk-to-sales/): Ready to take the next step with DataHub? Share a few details and we’ll connect you with the right DataHub expert to discuss pricing, deployment options, and what it looks like to move forward.
- [Get DataHub Cloud](https://datahub.com/get-datahub-cloud/): Spin up your own DataHub Cloud environment and get hands-on experience with discovery, lineage, governance, observability, and more. No commitment required.
- [AI Data Management Platform](https://datahub.com/products/ai-data-management/): Busywork shouldn't block high-impact work. DataHub Cloud delivers context-aware AI that automates documentation generation, metadata enrichment, and quality monitoring. Intelligent workflows across your entire data estate mean your teams focus on insights while AI handles the tedious work.
- [Data Lineage](https://datahub.com/products/data-lineage/): Outdated lineage docs shouldn't block your deployments. DataHub Cloud captures lineage automatically and shows downstream impact in real time. Deploy changes confidently, knowing exactly what's affected.
- [HTML-SiteMap](https://datahub.com/html-sitemap/)
- [Protected: FAQ example](https://datahub.com/faq-example/): Because we all have the capacity to do justice and show mercy; to treat others with dignity and respect; and to rise above what divides us and come together to meet those challenges we can't meet alone. But the remarks that have caused this recent firestorm weren't simply controversial. I'll help our auto companies re-tool, so that the fuel-efficient cars of the future are built right here in America.
- [Blog](https://datahub.com/blog/): Insights on context management and how the best data and AI teams are using DataHub.
- [Zoom](https://datahub.com/zoom/): Discover the latest metadata & AI insights, product updates, events, and more in our resource library.
- [General Terms and Conditions for Fully Hosted Services](https://datahub.com/saasterms/): General Terms and Conditions for Fully Hosted Services
- [DATAHUB AI FEATURES](https://datahub.com/aiterms/): Last Updated:  13 May 2025
- [Data Processing Addendum](https://datahub.com/dpa/): This Data Processing Addendum ("DPA") forms part of, and is incorporated by reference into, the Agreement between Acryl Data, Inc. (“Acryl Data” or “Company”) and Customer. Capitalized terms not defined in this DPA will have the meanings given to them in the Agreement. In the event of a conflict between this DPA and the Agreement with respect to the subject matter of this DPA, this DPA will control to the extent of such conflict.
- [News](https://datahub.com/news/): Latest News and Press Releases
- [DataHub Careers](https://datahub.com/datahub-careers/): Data is powering AI. But without context, even the best models fall short.
- [DataHub – AI & Data Context Management](https://datahub.com/): DataHub transforms enterprise data into trusted context for both humans and AI agents. Built on the #1 open source AI data catalog trusted by 3,000+ organizations.
- [Thank You Demo](https://datahub.com/thank-you-demo/): Thank you for expressing interest in DataHub!
- [Demo](https://datahub.com/demo/): Ready to explore how DataHub Cloud can work for your team?
- [Events](https://datahub.com/events/): Join the DataHub team at top data engineering and analytics conferences in 2026. Whether you're architecting a modern data catalog, solving data lineage challenges, or evaluating DataHub Cloud for your stack — come see live demos, get your technical questions answered, and connect with the engineers building the platform.
- [Share Your Journey](https://datahub.com/share-your-journey/): Share Your DataHub Journey with Our Community.
- [Guild](https://datahub.com/guild/): Celebrating community members that have gone above and beyond to contribute to the collective success of DataHub
- [Slack](https://datahub.com/slack/): Get help, share ideas, and connect with the DataHub community on Slack.
- [Champions](https://datahub.com/champions/): Recognizing community members who have made exceptional contributions to further the collective success of the DataHub project.
- [Thank You](https://datahub.com/thank-you/): Thank you for expressing interest in DataHub!
- [Product Tour](https://datahub.com/product-tour/): In this short tour, you’ll see how DataHub Cloud helps data teams break down silos, build trust in data, and accelerate AI and analytics, all from one unified platform.
- [Why DataHub Cloud](https://datahub.com/products/why-datahub-cloud/): Take a live tour of DataHub Cloud.
- [Data Discovery](https://datahub.com/products/data-discovery/): With the right data discovery tool, data teams reclaim the hours wasted hunting for data they already own. Businesses deploy data discovery platforms like DataHub to solve critical bottlenecks, enabling users to:
- [Terms of Service](https://datahub.com/terms-of-service/): Effective Date: May 28, 2020
- [Security](https://datahub.com/security/): Acryl encrypts data at rest and in transit for all of our customers. We use tools like Amazon Web Service’s Key Management System (KMS) to manage encryption keys using hardware security modules for maximum security in line with industry best practices.
- [Card Examples](https://datahub.com/card-examples/): the excerpts here are clipped to ensure same height. autoplay/autoscrolling
- [Careers](https://datahub.com/company/careers/): Careers with DataHub

## Customer Stories
- [Netflix Reimagines Discovery and Governance at Scale](https://datahub.com/customer-stories/netflix/): With DataHub, Netflix empowers teams to define and manage metadata through self-serve workflows, improving flexibility and governance.
- [Apple’s Machine Learning Data Gets Tuned Up](https://datahub.com/customer-stories/apples-machine-learning-data-gets-tuned-up/): Apple uses DataHub to manage machine learning metadata, custom entities, and AI governance across a fast-evolving data landscape.
- [Visa Scales Data Governance](https://datahub.com/customer-stories/visa/): Visa replaced its custom catalog with DataHub, using API-powered metadata to scale governance, improve quality, and support AI workflows across global teams.
- [Slack Solves 6 Years of Metadata Complexity in 72 Hours](https://datahub.com/customer-stories/slack/): Slack collapsed 6 years of metadata complexity into 3 days of progress with DataHub—unlocking extensible discovery, lineage, and governance across teams.
- [Deutsche Telekom Calls the Experts to Streamline Data Discovery](https://datahub.com/customer-stories/deutsche-telekom/): Deutsche Telekom deployed DataHub to simplify discovery, resolve pipeline issues faster, and power AI platforms with metadata context.
- [Chime’s Data Now Works in Harmony With Their Teams](https://datahub.com/customer-stories/chime/): Chime uses DataHub Cloud to unify producers and consumers, enabling shared ownership, lineage visibility, and proactive data quality monitoring.
- [Pinterest’s Pain Points Are Solved with an Extensible Metadata Model](https://datahub.com/customer-stories/pinterest/): Pinterest replaced rigid workflows with DataHub's flexible metadata platform—powering custom integrations, intuitive discovery, and better governance at scale.
- [Foursquare’s Data Stack Gets Squared Away](https://datahub.com/customer-stories/foursquare/): Foursquare replaced fragmented systems with a flexible metadata platform using DataHub, boosting developer efficiency and governance.
- [Airtel Expands Their Data Horizon](https://datahub.com/customer-stories/airtel/): Learn how Airtel scaled data governance and discovery across 30+ PB and 10K+ jobs with DataHub as its metadata management backbone.
- [Notion Takes Note on Data Chaos](https://datahub.com/customer-stories/notion/): Notion scales metadata management with DataHub Cloud, improving impact analysis, self-serve discovery, and GDPR compliance.
- [Etsy Crafts a Data Discovery Masterpiece](https://datahub.com/customer-stories/etsy/): Etsy retired a 9-year-old catalog, improved data discovery, and built a governance foundation using DataHub.
- [Optum Opts For a Scalable Data Mesh](https://datahub.com/customer-stories/optum/): Optum built data mesh on DataHub to enable decentralized discovery, automate workflows, and streamline access across petabyte-scale healthcare data.
- [Adevinta Thinks Local While Taking Their Data Global](https://datahub.com/customer-stories/adevinta/): Discover how Adevinta built a centralized data catalog using DataHub to simplify discovery, manage metadata, and improve collaboration.
- [Checkout.com Gets Real-Time With Its Data](https://datahub.com/customer-stories/checkout-com/): Checkout.com uses DataHub’s Actions Framework to trigger real-time PII masking, automate dataset deprecation, and improve auditability.
- [DPG Media Entertains a Modern Data Catalog Solution, and Saves](https://datahub.com/customer-stories/dpg-media/): With DataHub Cloud, DPG Media reduced data sprawl, enforced governance, and saved 25% monthly on Snowflake storage and compute.
- [Funding Circle Turns Around Their Metadata Management](https://datahub.com/customer-stories/funding-circle-turns-around-their-metadata-management/): Funding Circle, a lending platform that has helped over 140,000 small businesses secure loans, faced significant barriers to achieving self-service data capabilities.
- [HashiCorp Streamlines Their Data Discovery Chaos ](https://datahub.com/customer-stories/hashicorp-streamlines-their-data-discovery-chaos/): HashiCorp reduced ad hoc inquiries to near zero by centralizing documentation, ownership, and lineage with DataHub.
- [Hurb Arrives at Their Destination: A Single Source of Truth Across a Growing Data Stack](https://datahub.com/customer-stories/hurb/): Hurb uses DataHub to streamline ingestion, automate lineage, and centralize discovery across its growing data stack.
- [KPN Readies Their Data for the Future](https://datahub.com/customer-stories/kpn/): With DataHub, KPN created a scalable data mesh with full lineage and support for internal and external data use.
- [MediaMarktSaturn Maximizes Data Access While Minimizing Customer Friction](https://datahub.com/customer-stories/mediamarktsaturn/): MediaMarktSaturn used DataHub to streamline discovery and automate access provisioning for 50K+ employees across 30+ data domains.
- [Miro Establishes Trust Through Reliable Data Products](https://datahub.com/customer-stories/miro/): Miro uses DataHub Cloud to track lineage, surface SLAs, and empower both analysts and engineers with clear data product visibility.
- [MYOB Balances the Books on Data Reliability](https://datahub.com/customer-stories/myob/): With DataHub, MYOB automated schema-change alerts and reduced breaking changes to near zero—even as Snowflake usage grew 4x.
- [Uken Games Reduces Infrastructure Waste by 40%](https://datahub.com/customer-stories/uken-games/): Uken Games used DataHub to identify 40% of unused tables, reduce storage waste, and make self-serve analytics faster and more reliable.
- [Wolt Finds their Perfect-Fit Metadata Platform](https://datahub.com/customer-stories/wolt/): From deployment pain to platform success: Learn how Wolt uses DataHub to track data lineage, improve discoverability, and support legal compliance at scale.
- [Zynga Levels Up Data Management ](https://datahub.com/customer-stories/zynga/): Zynga uses DataHub to unify metadata, track lineage, monitor quality, and streamline data ops across 100+ games and 35B+ daily records.

## Guides
- [The State of Context Management in 2026](https://datahub.com/guides/2026-context-management-report/): Survey data from 250 IT and data leaders exposes the gap between AI confidence and the context management infrastructure production-scale agentic AI demands.
- [BCBS 239 Compliance and Beyond](https://datahub.com/guides/bcbs-239-compliance-and-beyond/): This guide shows how forward-looking banks can go beyond box-ticking compliance. By aligning BCBS 239’s principles with DataHub’s AI & data context platform, financial institutions can strengthen resilience, accelerate decision-making, and lay the foundation for trustworthy AI adoption.
- [Context: The Missing Link Between Your Data Stack and AI Success](https://datahub.com/guides/context-missing-link/): Discover proven strategies for building AI-ready data foundations, implementation blueprints for DataHub Cloud, and a detailed framework to assess your organization's context maturity and choose between Core vs. Cloud solutions.
- [7 Reasons to rethink your Data Catalog](https://datahub.com/guides/7-reasons-to-rethink-your-data-catalog/): Traditional data catalogs were designed for an erstwhile era of data management. As your organization evolves, has your metadata approach kept pace?

## Resource Articles
- [Product Demos](https://datahub.com/resources/product-demos/): Bite-size overviews. Interactive product tours. Hands-on tutorials. Explore all demos.
- [Context On-Demand Webinars](https://datahub.com/resources/context/): Revisit every session from CONTEXT: insights from the world’s top data and AI leaders.
- [DataHub vs Atlan | The Essential Metadata Platform Comparison Guide](https://datahub.com/resources/datahub-vs-atlan/): Compare DataHub vs Atlan across scalability, governance, AI readiness, and extensibility. See why modern enterprises choose DataHub as their metadata platform.
- [AI-Ready Data: What it Is and the 5 Pillars You Need to Know](https://datahub.com/resources/ai-ready-data/): AI-ready data is data that is prepared, structured, and governed in a way that enables AI systems to consume, learn from, and act on it at scale. It is complete, high-quality, contextualized, and optimized data not just for human analysis but for machine learning, inference, and automation.
- [DataHub MCP Server: Unlocking AI Agent Potential with Enterprise Data Context](https://datahub.com/resources/datahub-mcp-server-overview/): The Model Context Protocol (MCP) and the DataHub MCP Server solve this problem. Together, they give AI agents standardized, real-time access to rich metadata that provides the full context of enterprise data, including its meaning, its behavior, and its rules.
- [Modern Metadata Platforms](https://datahub.com/resources/modern-metadata-platforms/): Traditional catalogs struggle with the volume, velocity, and variety of metadata in modern data ecosystems, leading to incomplete coverage and performance issues.
- [DataHub Announces Support for Model Context Protocol](https://datahub.com/resources/datahub-mcp-server/): AI agents are unlocking a powerful new way to explore and interact with data. By integrating generative AI applications into DataHub via the Model Context Protocol (MCP), teams can now query, understand, and act on data more naturally, right where they work.

## News
- [DataHub and Google Deepen Collaboration in Unifying Multi-Platform Context and Accelerating Trusted AI Deployments](https://datahub.com/news/datahub-and-google-deepen-collaboration-in-unifying-multi-platform-context-and-accelerating-trusted-ai-deployments/): DataHub commissioned independent research firm TrendCandy to survey 250 IT and data team leaders on the topic of data context management for AI agents. See full findings.
- [DataHub Releases State of Context Management Report](https://datahub.com/news/datahub-releases-state-of-context-management-report/): DataHub commissioned independent research firm TrendCandy to survey 250 IT and data team leaders on the topic of data context management for AI agents. See full findings.
- [DataHub Joins Snowflake Open Semantic Interchange (OSI)](https://datahub.com/news/datahub-joins-snowflake-open-semantic-interchange/): DataHub’s open source metadata platform brings governance and discoverability to the emerging universal semantic data framework
- [DataHub Hires Product & Engineering Leaders](https://datahub.com/news/datahub-hires-product-engineering-leaders/): DataHub welcomes new executives to drive innovations for open-source community and enterprise customers.
- [DataHub Announces Key Executive Hires](https://datahub.com/news/datahub-announces-key-executive-hires/): DataHub, the leading open source metadata platform, has secured $35 million in Series B funding led by Bessemer Venture Partners to address the critical "missing context" challenge in enterprise AI. The investment will accelerate DataHub's mission to enable AI systems to autonomously and safely work with organizational data assets, providing the context machines need to understand data lineage, quality, and semantics.
- [DataHub Series B Announcement](https://datahub.com/news/series-b-announcement/): DataHub, the leading open source metadata platform, has secured $35 million in Series B funding led by Bessemer Venture Partners to address the critical "missing context" challenge in enterprise AI. The investment will accelerate DataHub's mission to enable AI systems to autonomously and safely work with organizational data assets, providing the context machines need to understand data lineage, quality, and semantics.
- [Acryl Data Strengthens Executive Team to Scale Go-to-Market Capabilities](https://datahub.com/news/acryl-data-strengthens-executive-team/): Acryl Data has appointed Lachlan Brown as Chief Revenue Officer and Satprit Duggal as Chief Marketing Officer, reinforcing the company's commitment to accelerating go-to-market efforts. These strategic hires come amid growing demand for DataHub, Acryl Data's industry-leading open source metadata platform for data discovery, observability, and governance.
- [Acryl Data Announces the Inaugural Metadata and AI Summit 2024](https://datahub.com/news/acryl-data-inaugural-metadata-and-ai-summit-2024/): Acryl Data, the company behind the leading metadata platform DataHub, announces the Metadata and AI Summit 2024, scheduled for October 29-30, 2024. This two-day virtual event will bring together over 2,500 data professionals, machine learning engineers, analysts, and thought leaders to discuss cutting-edge AI applications and metadata-driven solutions that are shaping the future of enterprise AI.
- [Acryl Data Re-Imagines Metadata Management With $9 Million in Seed Funding](https://datahub.com/news/acryl-data-seeds-9m-for-metadata-management/): Acryl Data Raises $9 Million from 8VC, LinkedIn and Insight Partners
Today, Acryl Data also announced that it has raised $9 million in seed funding led by 8VC. LinkedIn and Insight Partners also participated.

## Events
- [Snowflake Summit 2026](https://datahub.com/events/snowflake-summit-2026/): Add business context, governance, and lineage to your Snowflake Data so teams can move faster with confidence.
- [Gartner Data & Analytics Summit London 2026](https://datahub.com/events/gartner-data-analytics-summit-london-2026/): London, U.K. | May 11 - 13, 2026 | Booth 201
- [Google Cloud Next 2026](https://datahub.com/events/google-cloud-next-2026/): Las Vegas, NV | April 22 - 24, 2026 | Booth 3201
- [Gartner Data & Analytics Summit Orlando 2026](https://datahub.com/events/gartner-data-analytics-summit-orlando-2026/): Orlando, FL | March 9 -11, 2026 | Booth 906

## Webinars
- [Talk to your Data on AWS with LangChain Deep Agents and DataHub](https://datahub.com/webinars/talk-to-your-data-on-aws-with-langchain-deep-agents-and-datahub/): Webinar
- [Leading Through the AI Revolution: A Conversation with Jeff Weiner](https://datahub.com/webinars/leading-through-ai-revolution/): Build influence and drive change. Jeff Weiner shares LinkedIn's playbook for data-driven decisions, trusted systems, and preparing teams for AI.
- [FinServ Compliance: Making Regulations Work for You](https://datahub.com/webinars/finserv-compliance-bcbs239/): Turn auditor requests into repeatable workflows. Choose the right lineage level and use compliance as a foundation for AI-readiness.
- [Shift-left Governance: Enabling Engineering Teams to Define Data Policies](https://datahub.com/webinars/shift-left-governance-engineering/): Embed governance into dev workflows without gates. Automate PII tagging to reduce compliance risk and improve audibility starting today.
- [Agentic Workflows in Data Catalog: Beyond “Talk to Your Data”](https://datahub.com/webinars/agentic-workflows-data-catalog/): Automate data governance with AI agents. See Apple's architecture for intelligent catalogs that enrich metadata, enforce policies, and improve quality.
- [Driving Data Catalog Adoption Through Psychology and Design](https://datahub.com/webinars/data-catalog-adoption-psychology-design/): Apply product thinking to governance. Fundamental strategies that make data catalogs intuitive and effortless, not homework—lessons from ICA's rollout.
- [Data Supply Chain Visibility: Practical Benefits of End-to-End Lineage](https://datahub.com/webinars/data-supply-chain-visibility-lineage/): Map lineage for high-risk pipelines first. Understand the impact of change, debug data issues faster, and drive adoption beyond compliance checkboxes.
- [How Foursquare Built a Data Marketplace Using Metadata](https://datahub.com/webinars/foursquare-metadata-data-marketplace/): Build governed data marketplaces using metadata. Combine Iceberg, Spark, and DuckDB with lineage and versioning for enterprise ML at scale.
- [Convergence of Context: Moving Towards a Global Catalog for Netflix](https://datahub.com/webinars/netflix-global-data-catalog/): Learn Netflix's long-term data vision centered on a comprehensive catalog that solves discovery, governance, and lineage at streaming scale.
- [Context for Agents: Fireside Chat with João “Joe” Moura](https://datahub.com/webinars/context-for-ai-agents-fireside-chat/): Assess agent maturity and 2025's most significant developments. Understand enterprise data challenges and how MCP and context platforms scale agents successfully.
- [The Rhythm of AI: Creativity, Metadata, and the Next Wave of Innovation](https://datahub.com/webinars/rhythm-of-ai-creativity-innovation/): Discover how AI augments creativity and why metadata is critical for attribution. See where top VCs spot the next wave of AI-native companies.
- [Unlocking AI’s Potential Through Context Management](https://datahub.com/webinars/unlocking-ai-potential-context-management/): Transform context from bottleneck to advantage. Learn why current approaches create technical debt that prevents enterprise AI from scaling.
- [Metadata Masterclass: Scaling Across Global Enterprises](https://datahub.com/webinars/metadata-masterclass-global-enterprises/): Transform financial services with metadata strategy. Real examples of building data foundations to accelerate projects and enable confident AI adoption.

## Demos
- [Experience DataHub Cloud: Full Platform Demo](https://datahub.com/demos/bi-weekly-demo/): Experience DataHub Cloud's platform for unified data discovery, observability, and governance across your entire data stack.
- [Proactive Data Monitoring With DataHub Cloud](https://datahub.com/demos/data-observability-with-datahub/): Join our live demo of DataHub Cloud's data observability capabilities. See proactive monitoring, anomaly detection, and automated quality checks live.
- [Automate Data Governance with DataHub Cloud](https://datahub.com/demos/data-governance-with-datahub/): Join our live demo of DataHub Cloud's data governance capabilities. See automated compliance, PII detection, and self-service access workflows.
- [AI-Driven Data Operations with DataHub Cloud](https://datahub.com/demos/automated-data-operations-with-datahub/): Experience DataHub Cloud's AI data operations demo live. See automated documentation, MCP Server for AI agents, and workflow automations.
- [Complete Data Lineage with DataHub Cloud](https://datahub.com/demos/data-lineage-with-datahub/): Watch our on-demand demo of DataHub Cloud's data lineage capabilities. See impact analysis, root cause debugging, and column-level lineage in action.
- [Context-Aware Data Discovery with DataHub Cloud](https://datahub.com/demos/data-discovery-with-datahub/): See DataHub Cloud's data discovery features live. Demo includes natural language search, Slack/Teams integration, automated metadata tools, live Q&A.

## Categories
- [AI](https://datahub.com/blog/category/ai/)
- [Community](https://datahub.com/blog/category/community/)
- [Context Management](https://datahub.com/blog/category/context-management/)
- [Data Catalog](https://datahub.com/blog/category/data-catalog/)
- [Data Discovery](https://datahub.com/blog/category/data-discovery/)
- [Data Governance](https://datahub.com/blog/category/data-governance/)
- [Data Lineage](https://datahub.com/blog/category/data-lineage/)
- [Data Observability](https://datahub.com/blog/category/data-observability/)
- [Platform Experience](https://datahub.com/blog/category/platform-experience/)
- [Product Updates](https://datahub.com/blog/category/product-updates/)
- [Team & Culture](https://datahub.com/blog/category/team-culture/)
- [Uncategorized](https://datahub.com/blog/category/uncategorized/)

## About DataHub

DataHub is the AI and data context management platform built on the #1 open-source data catalog. It transforms enterprise metadata into trusted context for humans and AI agents.

DataHub was created by Shirshanka Das and Swaroop Jagadish, who previously built metadata platforms at LinkedIn and Airbnb. The company is headquartered in Palo Alto, California, and is backed by 8VC, LinkedIn, Bessemer Venture Partners, and Next Play Ventures.

## Products

DataHub Cloud is a fully managed enterprise platform with five core capabilities:

- [Discovery](https://datahub.com/products/data-discovery/): AI-powered search and conversational data discovery across 100+ data sources via the Ask DataHub chat agent.
- [Observability](https://datahub.com/products/data-observability/): Proactive data quality monitoring with ML-driven anomaly detection, automated assertions, and incident management.
- [Governance](https://datahub.com/products/data-governance/): Automated compliance workflows, role-based access control, business glossary management, and audit-ready reporting.
- [Lineage](https://datahub.com/products/data-lineage/): Automated column-level lineage across your entire data stack with bidirectional impact analysis.
- [AI and Automation](https://datahub.com/products/ai-data-management/): AI-generated documentation, metadata propagation, intelligent classification, and a hosted MCP Server for AI agent integration.

DataHub Core is the open-source foundation trusted by 3,000+ organizations. DataHub Cloud adds enterprise infrastructure, SLA-backed availability, SOC II compliance, and advanced features on top of Core.

- [Cloud vs Core Comparison](https://datahub.com/products/cloud-vs-core/)
- [Why DataHub Cloud](https://datahub.com/products/why-datahub-cloud/)

## Key Resources

- [What is Metadata Management?](https://datahub.com/blog/what-is-metadata-management/)
- [What is Data Governance?](https://datahub.com/blog/what-is-data-governance/)
- [What is Data Mesh?](https://datahub.com/blog/what-is-data-mesh/)
- [How to Make Data Governance Work in the AI Age](https://datahub.com/blog/how-to-make-data-governance-work-in-the-ai-age/)
- [Data Quality Belongs in the Data Catalog](https://datahub.com/blog/data-quality-belongs-in-the-data-catalog/)
- [Why Data Lineage is Non-Negotiable for Reliable ML](https://datahub.com/blog/data-lineage-for-ml/)
- [7 Reasons to Rethink Your Data Catalog](https://datahub.com/guides/7-reasons-to-rethink-your-data-catalog/)
- [2026 State of Context Management Report](https://datahub.com/guides/2026-context-management-report/)
- [DataHub vs Atlan](https://datahub.com/resources/datahub-vs-atlan/)
- [DataHub MCP Server](https://datahub.com/resources/datahub-mcp-server/)

## Customer Stories

- [Netflix](https://datahub.com/customer-stories/netflix/)
- [Visa](https://datahub.com/customer-stories/visa/)
- [Notion](https://datahub.com/customer-stories/notion/)
- [Slack](https://datahub.com/customer-stories/slack/)
- [Etsy](https://datahub.com/customer-stories/etsy/)
- [Deutsche Telekom](https://datahub.com/customer-stories/deutsche-telekom/)
- [Pinterest](https://datahub.com/customer-stories/pinterest/)
- [Apple](https://datahub.com/customer-stories/apples-machine-learning-data-gets-tuned-up/)
- [Optum](https://datahub.com/customer-stories/optum/)
- [Chime](https://datahub.com/customer-stories/chime/)

## Documentation and Community

- [Documentation](https://docs.datahub.com)
- [GitHub](https://github.com/datahub-project)
- [Slack Community](https://datahub.com/slack/)
- [Blog](https://datahub.com/blog/)
- [Events](https://datahub.com/events/)