Building Planetary-Scale Data Systems with Venice • Felix GV & Olimpiu Pop
Mar 3, 2026•Channel
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Video Details
Published4 months ago
Duration28:39
Video IDsd9qXrxCVAI
Languageen
CategoryScience & Technology
PrivacyPublic
Made for KidsNo
Video TypeRegular Video
Performance Metrics
Views181
Likes2
Comments0
Engagement Rate1.10%
Likes per 100 views1.10
Comments per 1K views0.00
Video Tags
Description
This interview was recorded for GOTO Unscripted.
https://gotopia.tech
Check out more here:
https://gotopia.tech/articles/421
Félix GV - Current Interests: Multi-Planetary Databases, Data Sovereignty & Lifelogging
Olimpiu Pop - Technologist & Tech Journalist
RESOURCES
Félix
https://bsky.app/profile/felixgv.ninja
https://github.com/FelixGV
https://www.linkedin.com/in/felixgv
Olimpiu
https://x.com/olimpiupop
https://github.com/zroll
https://www.linkedin.com/in/olimpiupop
Links
https://venicedb.org
https://github.com/linkedin/venice
https://rocksdb.org
https://duckdb.org
DESCRIPTION
Félix GV, a former engineer at LinkedIn and architect of the Venice database system, discusses the complexity of building planetary-scale data systems. He explains Venice's unbundled architecture where each component—from Kafka-based pub/sub to RocksDB-powered servers—operates as an independent distributed system. Félix details their rigorous chaos engineering practices, including regular load tests that push data centers beyond normal capacity to ensure reliability.
The discussion covers fundamental distributed systems concepts like the CAP theorem and the trade-offs between consistency and availability in multi-region deployments. He also explains why Venice, as a derived data system, deliberately sacrifices strong consistency for high throughput and availability, and concludes by discussing their experimental integration of DuckDB for SQL-based analytics and data exploration capabilities.
RECOMMENDED BOOKS
Kasun Indrasiri & Danesh Kuruppu • gRPC: Up and Running • https://amzn.to/3sBGBJJ
Tomer Shiran, Jason Hughes & Alex Merced • Apache Iceberg: The Definitive Guide • https://amzn.to/488Z30k
William Smith • Arrow Flight Protocols and Practices • https://amzn.to/4o2Q2fd
Adi Polak • Scaling Machine Learning with Spark • https://amzn.to/3N9vx1H
Mark Needham, Michael Hunger & Michael Simons • DuckDB in Action • https://amzn.to/45QwSli
Simon Aubury & Ned Letcher • Getting Started with DuckDB • https://amzn.to/3VPk4q
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