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Varant Zanoyan is the Co-founder & CEO at Zipline AI, working on building a next-generation AI/ML infrastructure platform that streamlines data pipelines, model deployment, observability, and governance to accelerate enterprise AI development.
Nikhil Simha Raprolu is the Co-founder & CTO at Zipline AI, focused on architecting and scaling the company’s AI data platform — extending the open-source Chronon engine into a developer-friendly system that simplifies building and operating production AI applications.
Real-time features, AI search, Agentic similarities, Varant Zanoyan & Nikhil Simha Raprolu // MLOps Podcast #354
Join the Community:
https://go.mlops.community/YTJoinIn
Get the newsletter: https://go.mlops.community/YTNewsletter
MLOps Swag/Merch:
[https://shop.mlops.community/]
And huge thanks to Chroma for hosting us in their recording studio
// Abstract
Feature stores might be the wrong abstraction. Varant Zanoyan and Nikhil Simha Raprolu explain why Cronon ditched “store-first” thinking and focused on compute, orchestration, and real-time correctness—born at Airbnb, battle-tested with Stripe. If embeddings, agents, and real-time ML feel painful, this episode explains why.
// Related Links
Website: https://zipline.ai/
~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~
Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore
Join our Slack community [https://go.mlops.community/slack]
Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)]
Sign up for the next meetup: [https://go.mlops.community/register]
MLOps Swag/Merch: [https://shop.mlops.community/]
Connect with Demetrios on LinkedIn: /dpbrinkm
Connect with Varant on LinkedIn: /vzanoyan/
Connect with Nikhil on LinkedIn: /nikhilsimha/
Timestamps:
[00:00] Feature Platform Insights
[02:00] Zipline and Feature Stores
[05:19] Cronon and Zipline Origins
[10:49] Feast and Feather Comparison
[13:27] Open source challenges
[20:52] Zipline and Iceberg Integration
[23:54] Airbnb Agent Systems
[28:16] Features vs Embeddings
[29:07] Wrap up
By Demetrios4.6
2323 ratings
Varant Zanoyan is the Co-founder & CEO at Zipline AI, working on building a next-generation AI/ML infrastructure platform that streamlines data pipelines, model deployment, observability, and governance to accelerate enterprise AI development.
Nikhil Simha Raprolu is the Co-founder & CTO at Zipline AI, focused on architecting and scaling the company’s AI data platform — extending the open-source Chronon engine into a developer-friendly system that simplifies building and operating production AI applications.
Real-time features, AI search, Agentic similarities, Varant Zanoyan & Nikhil Simha Raprolu // MLOps Podcast #354
Join the Community:
https://go.mlops.community/YTJoinIn
Get the newsletter: https://go.mlops.community/YTNewsletter
MLOps Swag/Merch:
[https://shop.mlops.community/]
And huge thanks to Chroma for hosting us in their recording studio
// Abstract
Feature stores might be the wrong abstraction. Varant Zanoyan and Nikhil Simha Raprolu explain why Cronon ditched “store-first” thinking and focused on compute, orchestration, and real-time correctness—born at Airbnb, battle-tested with Stripe. If embeddings, agents, and real-time ML feel painful, this episode explains why.
// Related Links
Website: https://zipline.ai/
~~~~~~~~ ✌️Connect With Us ✌️ ~~~~~~~
Catch all episodes, blogs, newsletters, and more: https://go.mlops.community/TYExplore
Join our Slack community [https://go.mlops.community/slack]
Follow us on X/Twitter [@mlopscommunity](https://x.com/mlopscommunity) or [LinkedIn](https://go.mlops.community/linkedin)]
Sign up for the next meetup: [https://go.mlops.community/register]
MLOps Swag/Merch: [https://shop.mlops.community/]
Connect with Demetrios on LinkedIn: /dpbrinkm
Connect with Varant on LinkedIn: /vzanoyan/
Connect with Nikhil on LinkedIn: /nikhilsimha/
Timestamps:
[00:00] Feature Platform Insights
[02:00] Zipline and Feature Stores
[05:19] Cronon and Zipline Origins
[10:49] Feast and Feather Comparison
[13:27] Open source challenges
[20:52] Zipline and Iceberg Integration
[23:54] Airbnb Agent Systems
[28:16] Features vs Embeddings
[29:07] Wrap up

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