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Big bioinformatics without big hassles:
See the power of SciDB, R-Studio, and Shiny
Multi-dimensional arrays are a natural fit for Big—and Diverse—Data. Auto-indexed and auto-clustered storage enables fast range selections, joins and aggregates.
Load and curate your data once for all your users. Gone are errors from forked files, replicated work, and “eventual consistency.” SciDB is a true ACID DBMS. Get repeatable, accurate results across multiple users with SciDB.
SciDB’s massively parallel processing architecture supports petabyte-scale data management, fast parallel queries and parallel linear algebra.
The minute you want to do complex analytics, and you want to do it at scale, and you want to mix and match data exploration and analysis, that’s what we are good at.
MIT Professor Mike Stonebraker