Bioinformatics for Data Driven Discovery

The turnkey solution for life science researchers.

Run complex queries on preloaded TCGA and 1000 Genomes data from R and Python

…get up and running in the cloud in minutes.

Next Bioinformatics Webinar Feb. 11th, 2015!


Hard Questions. Fast Answers. Open Source.

Array Data Model Symbol

Interactive Data Exploration

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.
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Do it Once; Do it Right

Load and curate your data once for all your users. Gone are errors from forked files, replicated work, and “eventual consistency.”
Distributed MMP

Massive Scalability

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

Co-Founder, CTO, and Parallel Entrepreneur, Paradigm4

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