BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data
Queries with Bounded Errors and Bounded Response Times on Very Large Data BlinkDB is a massively parallel, approximate query engine for running interactive SQL queries on large volumes of data. It allows users to trade-off query accuracy for response time, enabling interactive queries over massive data by running queries on data samples and presenting results annotated with meaningful error bars.
Lux IO - Yet Another Fast Database Manager
Lux IO is a yet another fast database manager. It supports B+-tree and Array index in either cluster or non-cluster index. It's originally designed for storing large expanding data as a value in Lux Search Engine, but it's also pretty fast for small and a large number of data. Fast key lookup (B+-tree, Array) Support both clustered and non-clustered index mmap(2) the whole index structure in clust
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