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A multiverse database transparently presents each application user with a flexible, dynamic, and independent view of shared data. This transformed view of the entire database contains only information allowed by a centralized and easily-auditable privacy policy. By enforcing the privacy policy once, in the database, multiverse databases reduce programmer burden and eliminate many frontend bugs that expose sensitive data. Multiverse databases' per-user transformations risk expensive queries if applied dynamically on reads, or impractical storage requirements if the database proactively materializes policy-compliant views. We propose an efficient design based on a joint dataflow across "universes" that combines global, shared computation and cached state with individual, per-user processing and state. This design, which supports arbitrary SQL queries and complex policies, imposes no performance overhead on read queries. Our early prototype supports thousands of parallel universes on a single server. 

Noria, first presented at OSDI ’18, is a new web application backend that delivers the same fast reads as an in-memory cache in front of the database, but without the application having to manage the cache. Even better, Noria still accepts SQL queries and allows changes to the queries without extra effort, just like a database. Noria performs well: it serves up to 14M requests per second on a single server, and supports a 5x higher load than carefully hand-tuned queries issued to MySQL.