"Just because it's an agent doesn't mean it's omniscient." Jeff Weiner (Executive Chairman of LinkedIn and Founding Partner of Next Play Ventures) closed out CONTEXT last week with a dynamic fireside chat moderated by Swaroop Jagadish (DataHub Co-Founder and CEO). One hot topic: How to think about trust when deploying AI agents in your organization. His advice: Treat new agents like new team members. You build trust over time. You trust but verify. You start with lower-impact decisions where mistakes are less costly so you can coach, train, and learn together. Watch the full session on demand. Link in comments 👇 #CONTEXT2025 #AILeadership #EnterpriseAI
DataHub
Software Development
Palo Alto, California 6,496 followers
AI & Data Context Management | DataHub: #1 Open Source Platform | Discover. Govern. Observe. Transform.
About us
Founded by data industry veterans and backed by LinkedIn, DataHub enables organizations to deploy AI in production through an enterprise-grade metadata platform handling 3M+ PyPI downloads monthly. Leveraging our extensible metadata graph architecture with lineage-driven compliance and API-first design, we've built a unified system for technical teams requiring production-grade discovery, observability, and governance. Our dual solutions—open-source DataHub Core and fully-managed DataHub Cloud—provide what enterprises need for continuous AI & data asset management at scale. DataHub is a unique solution in this space with the following key differentiators: * Scalability: DataHub offers best-in-class enterprise-grade scalability in connecting to over 80 data sources, offering an embeddable connector framework, and ingesting large volumes and high velocity of metadata. * Extensibility: DataHub’s highly extensible metadata model offers easy flexibility in adapting to an organization’s unique data landscape, entities, relationships, ownership, and custom metadata descriptors. * Completeness: DataHub Cloud’s unified platform adds AI-based enhancements and automations for discovery & understanding, quality management, and collaborative governance, allowing users to confidently use and manage data and AI assets. * Ease of Adoption: Customers of DataHub benefit from the joint innovation, peer support, and growing skill base of an energized community of over 13,000 DataHub practitioners. Its user-friendly interface has a powerful and intuitive design, making it easier for users to navigate and utilize its features without extensive training. The managed service of DataHub Cloud offers dedicated support, improved performance and availability, and secure deployment options to ease adoption across an enterprise. For engineering teams deploying AI in production, DataHub delivers unified metadata infrastructure across all AI & data assets with enterprise-grade performance.
- Website
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https://datahub.com
External link for DataHub
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- Palo Alto, California
- Type
- Privately Held
- Founded
- 2021
- Specialties
- data governance, data observability, open source, data catalog, data lineage, data culture, data community, metadata management, cost optimization, data compliance, data strategy, DataOps, data platform, data engineering, data team, data, analytics, data and analytics, event driven metadata, active metadata, and data intelligence
Locations
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Primary
Get directions
3101 Park Blvd
Palo Alto, California 94306, US
Employees at DataHub
Updates
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Halloween came and went, but the real thriller? Deploying AI agents in production 🧟♂️ What do you wish someone had told you before your first agent deployment? #AgenticAI #AIAgents #AI
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Across all sessions at CONTEXT, one pattern emerged: The organizations winning with AI aren't just building better models. They're building better context infrastructure. The foundations you build today determine whether your AI initiatives scale or stall. Explore all sessions on demand. Link in comments 👇 #CONTEXT2025 #DataGovernance #EnterpriseAI #AgenticAI
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What did 1,500+ data and AI leaders learn at CONTEXT last week? We just published our #CONTEXT2025 recap blog with detailed takeaways from all sessions, featuring insights from Apple, Netflix, Block, Robinhood, CrewAI and more. Perfect for catching up on what you missed or sharing takeaways with your team. Read the recap: https://hubs.la/Q03RzXC70 Watch all sessions on demand: https://hubs.la/Q03RB3760 Thank you to our speakers! Alex Pall Jeff Weiner João (Joe) Moura Nitin S. Ravi Sharma Praveen Kanamarlapudi Sid Narayan Ravi Josyula Vikram Gundeti Srikanth Devidi Raghavendra Rojkhird Enrique Sosa, MPS Björn Barrefors Mikhael MAZU Shirshanka Das Swaroop Jagadish John Joyce Stephen Goldbaum #AgenticAI #DataGovernance #EnterpriseAI
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Couldn’t join us live for CONTEXT? All sessions are now streaming on demand. Watch CONTEXT on your schedule: https://hubs.la/Q03RpTSM0 #CONTEXT2025 #DataGovernance #EnterpriseAI #AgenticAI
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Your next PR could change the way 14,000+ data professionals work. Join the open source DataHub community and start contributing: 🛠️ Code 💡 Ideas 📣 Feedback Make your mark → https://hubs.la/Q03R4l3f0 #OpenSource #OSS #DataCommunity #DataEngineering
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Team DataHub is heading to Amsterdam 🇳🇱 We're a proud sponsor of the Databricks Data + AI World Tour on November 6, and we'd love to see you at our booth in the Expo. Come talk to us about: - Cutting data warehouse costs by surfacing unused and duplicate datasets - Accelerating data work with AI-powered metadata automation - Building on our API-first, open source architecture - Our native Unity Catalog integration for seamless Databricks workflows November 6 | Amsterdam | Databricks Data + AI World Tour Stop by and say hello! #Databricks #DataHub #DataAIWorldTour
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1,500+ data and AI leaders joined us at CONTEXT yesterday. A clear pattern emerged across all sessions: Organizations winning with AI aren't just building better models. They're building better context infrastructure. Here's what that looks like in practice: → Context management is the new category. Shirshanka Das (DataHub Co-Founder & CTO) predicted it will become the most talked about term in AI within a year. It's context engineering scaled across your entire organization, not siloed per application. → Trust is consistency over time. Jeff Weiner (Executive Chairman of LinkedIn and Founding Partner of Next Play Ventures) explained how this applies to people, data, pipelines, and AI agents. Data leaders finally have board-level mandates, but seizing this moment requires translating technical capabilities into business outcomes. → Lineage unlocks everything. Financial services data leaders demonstrated how end-to-end lineage enables both regulatory compliance and AI readiness. The same infrastructure that satisfies auditors serves future agents. → Netflix is building for both humans and agents. Their global catalog strategy solves discovery today while creating the context foundation AI agents will need tomorrow. → Apple deploys agents as digital stewards. Their agentic workflows automate metadata enrichment, anomaly detection, and quality rules while maintaining human oversight through guardrails and feedback loops. The foundations you build today determine whether your AI initiatives scale or stall. Watch how industry leaders are preparing for the agentic era. All sessions now available on demand: https://hubs.la/Q03QXT_j0 #CONTEXT2025 #DataGovernance #EnterpriseAI #AgenticAI
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That's a wrap on #CONTEXT2025 🎬🎉 Data and AI leaders from around the globe joined us today to hear from Apple, Netflix, Block, Robinhood, Jeff Weiner, Alex Pall, DataHub's founding team, and many more. The conversations covered everything from automated governance and end-to-end lineage to context management—the category DataHub is defining for enterprise agentic AI. Thank you to everyone who tuned in, asked questions, and engaged with the content. Missed a session? All talks are now available on demand. Watch now: https://hubs.la/Q03QRvvW0 #CONTEXT2025 #DataGovernance #EnterpriseAI #AgenticAI
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"I'm predicting that context engineering, which has started off as this gold rush towards making AI more reliable for application development, is going to have its management moment." Shirshanka Das (DataHub CTO & Co-Founder) just put a stake in the ground at #CONTEXT2025 His thesis: Context engineering works for individual applications. But enterprises need context management: an organization-wide capability to reliably deliver the most relevant data to AI context windows at scale. 📌 Pin the date: October 29, 2025. This is the moment DataHub defined a new category. Jump in to join the conversation live: https://hubs.la/Q03QMTmx0 #ContextManagement #EnterpriseAI #ContextEngineering