Transforming Enterprise Data into Trusted Context
DataHub enables AI & data to work together, bringing order to data chaos
Trusted by enterprise data teams around the world
DataHub’s open-source roots
#1
OPEN-SOURCE DATA CATALOG WORLDWIDE
3000+
Organizations using DataHub
3M+
Monthly PYPI Downloads
15,000+
Community Members Collaborating Globally
Committed to the DataHub open-source community
DataHub’s open source community is a global ecosystem of data practitioners and engineers advancing metadata management
DataHub was open-sourced to enable modern data discovery, governance, and observability
We remain the driving force, investing in engineering, thought leadership, and community growth
The community includes some of the most progressive and innovative companies in the world such as Apple, Netflix, JP Morgan Chase, GSK, Visa, and Figma.
Our Story
Our founders learned the value of metadata in the crucible of crisis. Shirshanka Das led the creation of DataHub, a high-performance metadata platform to solve LinkedIn’s GDPR compliance issues. Swaroop Jagadish helped build Airbnb’s DataPortal, using metadata to standardize business metrics crucial for the company’s IPO success.
DataHub has carried forward those innovations to build a Context Platform that is powered by the #1 open-source AI data catalog. DataHub uses enterprise-wide metadata to give comprehensive context, so analysts, engineers, and AI models can safely use and manage data.
The company is headquartered in Palo Alto, California, and serves customers globally.
Executive Leadership
Previously, Swaroop was Head of Data Platform and Search Infrastructure at Airbnb from 2014 to 2020. Under his leadership, his team built the foundation for data informed decision making and built several popular tools like Apache Airflow, Apache Superset and Airbnb Dataportal. He also led the development of Airbnb’s Knowledge Graph and Search Indexing/Serving Infrastructure. He was also the overall engineering lead for the Cloud cost efficiency program at Airbnb.
Prior to Airbnb, Swaroop worked on building a distributed database at LinkedIn and ad-serving systems at Yahoo. Swaroop has a Masters in Computer Science from UCSB.
Prior to founding DataHub, Shirshanka was the overall architect for Big Data at LinkedIn from 2010 to 2020, and responsible for creating the metadata and data management strategy at the company. As part of this, he founded the DataHub project and shaped its evolution to a metadata platform that powers productivity and governance use cases at LinkedIn. He is also a PMC and committer on the Apache Gobblin project which manages 100PB+ of data assets at rest at LinkedIn, and is deployed in production at other large companies like Verizon and PayPal. Prior to LinkedIn, Shirshanka worked on high performance serving systems at Yahoo and PayPal. Shirshanka has a Ph.D. in Computer Science from UCLA.
Lachlan brings extensive sales leadership experience from iconic data infrastructure startups, including Redpanda and CockroachDB, where he honed his expertise in scaling revenue for cutting-edge database and data platform technologies. His specialties encompass both software and hardware sales across enterprise and mid-market segments, with a strong focus on building and managing high-performing sales teams. With deep experience in the data infrastructure space, Lachlan understands the unique challenges and opportunities facing organizations as they modernize their data stack. His proven ability to scale revenue at leading data companies makes him instrumental in accelerating DataHub’s commercial success.
Satprit brings over 28 years of marketing expertise to DataHub, having previously built and scaled marketing teams at leading AI and tech companies including C3.ai, GE, IBM, and Unilever. He specializes in category creation, brand building, and performance marketing for enterprise software platforms, with a proven track record of delivering 15-40% revenue growth and 125+% campaign ROIs through metrics-driven B2B demand generation. At GE, he created the value packaging and pricing strategy for the Predix platform and related applications. His deep experience spans the full spectrum from pre-IPO startups to global enterprises, making him uniquely positioned to drive DataHub’s market expansion.
As CFO, Reed leads DataHub’s financial strategy and operational discipline as the company scales its operations and expands internationally. He brings more than 25 years of finance leadership experience across private and public companies. Most recently, Reed advised Sirona Medical, Inc., helping lead the company’s successful $45M Series C financing. Prior to that, he was Chief Financial Officer at RMS, where he facilitated the company’s $2B sale to Moody’s. Earlier in his career, Reed held senior finance roles at Intermolecular, Better Place, BigBand Networks, and Cellon. He holds a Bachelor of Science in Accounting from California State University, Fresno.
As VP of Product, James is leading DataHub’s product strategy and roadmap, ensuring the platform continues to deliver cutting-edge capabilities for both the open-source community and enterprise customers. He brings over 18 years of product leadership experience in data infrastructure and analytics. Most recently, James served as Senior Director of Product Management at dbt Labs, where he led the product management team following dbt Labs’ acquisition of Transform, a metrics platform company he co-founded in 2020.
Sekhar leads technical strategy and execution for the industry’s leading data context platform. Before joining DataHub, Sekhar spent eight years as an Engineering Director at Snowflake where he led the engineering teams behind Snowflake’s Data Governance, Data Privacy, and Horizon Catalog teams. Earlier in his Snowflake tenure, he led the Cloud Platform team through a period of rapid infrastructure growth. Prior to Snowflake, he spent many years at Oracle in a leadership role, playing a key part in launching Oracle’s first Autonomous Data Warehouse Cloud product and leading engineering teams in Oracle’s flagship database engine.
As VP of Engineering and India Site Lead, Rathi will scale DataHub’s engineering organization and establish the company’s engineering presence in India, driving technical excellence and accelerating product development. He brings over 20 years of engineering leadership experience building scalable data platforms and leading high-performing global teams. Most recently, Rathi served as VP of Engineering and India Site Lead at Alteryx, where he led global engineering teams across Europe and India. Prior to joining Alteryx, Rathi was Global Head of Engineering at Trifacta.
Advisors
Joe Hellerstein
Jim Gray Professor of Computer Science at the University of California, Berkeley
Javier Molina
Chief Revenue Officer at Docker
Meagen Eisenberg
Chief Marketing Officer of Samsara and Board Member of G2 and WorkStep
Jeff Weiner
Executive Chairman of LinkedIn and Founding Partner of Next Play Ventures
Joseph M. Hellerstein is the Jim Gray Professor of Computer Science at the University of California, Berkeley, whose work focuses on data-centric systems and the way they drive computing. Hellerstein is also the co-founder and Chief Strategy Officer of Trifacta, and has served on the advisory boards of a number of computing and Internet companies including Dell EMC, SurveyMonkey, and Greenplum. He is an ACM Fellow, an Alfred P. Sloan Research Fellow and the recipient of three ACM-SIGMOD “Test of Time” awards for his research. Fortune Magazine has included him in their list of 50 smartest people in technology, and MIT’s Technology Review magazine included his work on their TR10 list of the 10 technologies “most likely to change our world”.
With over 15 years of experience in Sales, Javier has built and scaled dozens of highly productive teams. Joining SolarWinds in 2010, he helped expand the organization overseeing the Western US, Global Channel, and Latin America, ultimately through its take-private at a $4.5 billion valuation.
At MongoDB (pre-IPO), he grew within the organization ultimately holding the position of SVP Global Sales. Notable achievements include helping to build and grow the Atlas (SaaS) go-to-market playbook on a global scale as well as the the Product-Led Sales org as the business scaled to near $1B in revenue. Most recently, prior to Docker, he served as the Chief Revenue Officer at Starburst helping to launch, build and scale the company’s foundation as a SaaS organization.
Meagen Eisenberg is a seasoned executive, board member, and advisor to some of the fastest-growing and most successful companies in enterprise and SaaS technology. In her current role, Meagen leads the marketing and growth teams of Samsara as its Chief Marketing Officer; she serves on the board of G2 and WorkStep and advises a portfolio of companies including Loom, Styra, productboard, Gretel.ai, Klue, Demostack and Redpanda Data. Meagen also serves as a limited partner in Operator Collective, an investment firm that balances diversity with strategic investments. Her prior board work includes several companies that were successfully acquired – StackRox bought by RedHat, an IBM Company, Reactful bought by Metadata.io, and TinyPulse bought by Limeade.
Jeff is Founding Partner of Next Play Ventures and the executive chairman of LinkedIn. Prior to becoming executive chairman in June 2020, Jeff was the CEO of LinkedIn. During his 11-year tenure, LinkedIn grew its membership base from 33M to more than 690M, increased its revenue from $78M to over $7.9B and expanded the team from 338 employees to over 16,000. Jeff presently resides on the board of directors for Intuit and Donorschoose.org. He also serves on the board of Everfi, an ed tech company with which he co-founded The Compassion Project, a non-profit initiative whose mission is to ensure compassion is taught in every elementary school in the US. Jeff is also a founding LP and serves on the investment committee of Concrete Rose, an early stage investment fund investing in diverse founders, start-ups serving underserved communities and/or building diverse teams.
Investors
Join Our Team
Build the context layer for the AI era.
Data is powering AI. But without context, even the best models fall short.
At DataHub, we’re solving a foundational problem: how to make enterprise data discoverable, trustworthy, and ready for AI systems to use—autonomously and at scale.
Join us to help close the context gap in enterprise AI.
