Technical Talks
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Internals of SlateDB: An Embedded Key-Value Store Built on Object Storage
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ABOUT THE TALK
- ML OPs & Platforms
Object storage platforms like S3 and Azure Blob Storage have transformed data systems, enabling new architectural paradigms. This session explores SlateDB, an embeddable storage engine built in Rust that leverages object storage's unique properties. Attendees will dive into how conditional writes, checkpoints, transactions, and remote compaction can be implemented, discovering insights that extend beyond SlateDB to broader data system design and implementation.
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Engineering Manager
Vignesh Chadramohan
Doordash
Vignesh Chandramohan leads data engineering at DoorDash, architecting real-time analytics and data lake solutions. A Microsoft veteran with 17+ years of experience, he was instrumental in developing Azure Stream Analytics and Microsoft Fabric's stream processing capabilities. Currently focused on building scalable data infrastructure using technologies like Apache Iceberg, Spark, and Flink. Also maintains SlateDB, an open-source embedded database built for object storage.
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