Zed: Leveraging Data Types to Process Eclectic Data
Summary: Zed makes data types first-class in both the data model and query language to enable ingesting, querying, and reasoning over eclectic data with heterogeneous, evolving schemas. By centering types it aims to avoid the usual efficiency–simplicity tradeoff of relational/document/hybrid systems. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Amy Ousterhout (University of California Berkeley)
- 2. Steve McCanne (Brim Data)
- 3. Henri Dubois-Ferriere (12th Ave Labs)
- 4. Silvery Fu (University of California Berkeley)
- 5. Sylvia Ratnasamy (University of California Berkeley)
- 6. Noah Treuhaft (Brim Data)
BibTeX Citation
@inproceedings{ousterhout_cidr23,
address = {Amsterdam, Netherlands},
series = {{CIDR} '23},
title = {{Zed: Leveraging Data Types to Process Eclectic Data}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Ousterhout, Amy and McCanne, Steve and Dubois-Ferriere, Henri and Fu, Silvery and Ratnasamy, Sylvia and Treuhaft, Noah},
year = {2023}
}
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