--- title: "How CME Group evaluated vendors for its context layer" url: "https://atlan.com/regovern-watch-center/cme-group-evaluation/" description: "Kiran Panja of CME Group explains why Atlan won their competitive evaluation against Informatica, Collibra, Alation, and Google DataPlex." keywords: "atlan, data governance, regovern 2025, regovern watch center" --- > Atlan is hosting Context Conference, bringing together the leaders and builders at the frontier of giving AI the context it needs to understand their business. It runs online on October 28, 2026, from 11:00 AM to 2:00 PM ET. Atlan co-founder Prukalpa Sankar opens and closes the day. Leaders from AstraZeneca, BNY and Verizon share why they invest in context and what they get from it. Registrants get early access to The AI Context Gap, a new study from MIT Technology Review Insights. Register: https://atlan.com/context-conference/ **How CME Group Evaluated Vendors for its Context Layer**: a session recording from Re:Govern 2025 (online, Nov 4-5, 2025), in the [Re:Govern 2025 watch center](https://atlan.com/regovern-watch-center/). Kiran Panja of CME Group explains why Atlan won their competitive evaluation against Informatica, Collibra, Alation, and Google DataPlex. The recording plays on the page after a short preview, then an email form unlocks the rest: [watch at https://atlan.com/regovern-watch-center/cme-group-evaluation/](https://atlan.com/regovern-watch-center/cme-group-evaluation/). ## Speakers - **Kiran Panja**, Managing Director, CME Group. Kiran architects data infrastructure for the world's largest derivatives exchange. From regulated banking at Citi to enterprise cloud at IBM, he's mastered the trade-off between agility and governance - now he's solving it at market scale at CME Group. ## Company **CME Group.** CME Group operates the world's largest derivatives marketplace, processing 30.2M contracts on average every day. A decade-long Google Cloud journey powers AI-ready, governed infrastructure at the speed and scale global markets demand. ## What's inside CME Group needed a platform that could handle tens of millions of market data assets while meeting regulatory requirements and providing real-time lineage across their entire tech stack. When competitors quoted six to eight months for integrations, Atlan delivered in days - and that speed advantage extended to every part of their deployment. Key takeaways: - Speed matters: Atlan delivered integrations in days while competitors quoted 6-8 months - Usability drives adoption: An intuitive UI means first-time users can find what they need without training - Context should flow to users in their preferred tools, not force them into new platforms - Scale is non-negotiable when dealing with tens of millions of assets from high-velocity markets - Partnership means moving at the pace your business demands - CME cataloged 18M assets in year one ## Session chapters 1. Integrations at market speed: How Atlan delivered integrations in days compared to competitors' months-long timelines. 2. Usability as a growth engine: Why intuitive design drives adoption among non-technical users. 3. Bringing context to the user's workflow: Ensuring metadata flows into existing tools instead of forcing platform switches. 4. Scaling governance to millions of assets: Operating governance across tens of millions of high-velocity market data assets. 5. Partnership built on business speed: CME's first-year results: cataloging 18 million assets and unifying metadata across systems. ## More from Re:Govern 2025 - [DigiKey: Context Readiness](https://atlan.com/regovern-watch-center/digikey-context-readiness/) (Session Recordings) - [CME Group: Context at Speed](https://atlan.com/regovern-watch-center/cme-group-context-at-speed/) (Session Recordings) - [Mastercard: Context by Design](https://atlan.com/regovern-watch-center/mastercard-context-by-design/) (Session Recordings) - [Workday: Context as Culture](https://atlan.com/regovern-watch-center/workday-context-as-culture/) (Session Recordings) - [How Regulated Business are Moving Governance Beyond Compliance](https://atlan.com/regovern-watch-center/regulated-industries-beyond-compliance/) (Highlights) - [Workday's Learnings From its First Talk to Data experiment](https://atlan.com/regovern-watch-center/workday-talk-to-data-learnings/) (Highlights) - [Mastercard's Federated Architecture for Agentic Commerce](https://atlan.com/regovern-watch-center/mastercard-federated-architecture/) (Highlights) - [How Protocols and Tools are Evolving for Agentic Governance](https://atlan.com/regovern-watch-center/protocols-agentic-governance/) (Highlights) - [How DigiKey uses Atlan as a Context Operating System](https://atlan.com/regovern-watch-center/digikey-atlan-context-operating-system/) (Highlights) - [How Data Roles are Evolving: From Modelers to Context Engineers](https://atlan.com/regovern-watch-center/data-modelers-to-context-engineers/) (Highlights) - [Contracts, Context, and Cars: General Motors' Governance Blueprint for the Agentic AI Era](https://atlan.com/regovern-watch-center/contracts-context-and-cars-general-motors/) (Session Recordings) - [How Mastercard is Building AI-Ready Data Products](https://atlan.com/regovern-watch-center/mastercard-ai-ready-data-products/) (Session Recordings) - [The Evolution of Trust: Building the Foundations for Future-Readiness](https://atlan.com/regovern-watch-center/evolution-of-trust/) (Session Recordings) - [Top-Down or Bottom-Up: The World's Largest Exchanges Show Two Paths to AI](https://atlan.com/regovern-watch-center/top-down-or-bottom-up-cme-dbg/) (Session Recordings) - [What Forced Mastercard to Modernize Its Context Stack](https://atlan.com/regovern-watch-center/mastercard-context-stack-modernization/) (Highlights) - [How Mercury Insurance is creating PII-free workspaces for AI use cases](https://atlan.com/regovern-watch-center/pii-free-workspaces/) (Highlights) - [GitLab's Strategies for Building Reliable Conversational Analytics](https://atlan.com/regovern-watch-center/gitlab-conversational-analytics-strategies/) (Highlights) - [AI-Ready Tech Pioneers Share their Single Most Effective AI Readiness Strategies](https://atlan.com/regovern-watch-center/ai-readiness-strategies-pioneers/) (Highlights) - [GitLab's Learnings from its First Experiment with Conversational AI](https://atlan.com/regovern-watch-center/gitlab-conversational-ai-learnings/) (Highlights) - [Vimeo's Approach to Data Governance in the Era of Conversational Analytics](https://atlan.com/regovern-watch-center/Vimeo-approach-to-data-governance/) (Highlights) - [Inside General Motors Metadata Lakehouse](https://atlan.com/regovern-watch-center/gm-metadata-lakehouse/) (Highlights) - [Workday's Semantic Layer Strategy](https://atlan.com/regovern-watch-center/workday-semantic-layer-strategy/) (Highlights) - [Modern Data & AI Governance Blueprint](https://atlan.com/blueprint) (Resources)