A New Analytical Paradigm
Data scientists should be able to do ad-hoc, complex analytics at scale. They shouldn’t have to struggle with data management. That’s why we invented a computational database that combines data management, analytics, and more, all in one integrated platform.
Collaborative, reproducible, data-driven discovery and modeling
SciDB, Paradigm4’s analytical database, was designed from the ground up for working with rich, multi-faceted, highly-dimensional data like instrument data, geospatial data, data feeds, and sensor data collated from multiple sources. And to support reproducible, data-driven discovery and modeling. With an innovative massively parallel distributed database integrated directly into the analytics platform, Paradigm4 lets you explore data and execute advanced analytics operations that scale transparently to billions of data elements.
Move beyond the constraints of conventional databases and technical computing software
- Avoid the hassle of exporting and reformatting data between your database or data warehouse and your statistical and technical computing software
- Scale-up and speed-up your analytics and modeling, from prototype to production, without rewriting your code
- Avoid the hassle of Hadoop and other techniques that make you think about infrastructure before you can perform analytics
- Get results much faster
Learn how Paradigm4 delivers:
Analyze More, Program LessA Webinar about Using SciDB for Computational Finance. Read more.
About Paradigm4Paradigm4 is the company behind the open source SciDB project. We develop it, support it, build enterprise extensions, and provide hands-on expertise.