Ubix
Ubix is an AI-on-demand service that helps users of all skill levels develop and deploy big, fast data architecture and AI pipelines. Its patent-pending machine learning engine is trained by each input, interaction, and outcome; growing in knowledge and impact over time and creating an enterprise Supermind that improves productivity, creativity, eliminates error, mitigates “brain drain”, supports governance, and ultimately accelerates time to value. It was founded in 2013 and is headquartered in San Juan Capistrano, California.
SourceThought provides Big Data ETL and data processing solutions that run natively on Hadoop. We help enterprises source inspiration from their information by consuming large amounts of data in any form and processing it on commodity hardware for an incredibly low cost. Hadoop is a scalable open source platform used by Yahoo, Facebook and Twitter and is emerging as the platform of choice for Big Data. But Hadoop is just the starting point. Data must be discovered, extracted, profiled, cleansed, integrated, enhanced, managed and tracked. That is ETL/ELT/ELTL on Hadoop, and that is where SourceThought comes in. SourceThought’s team of ETL and data warehouse experts use SourceThought tools and Hadoop to deliver turn-key ETL solutions to the enterprise. Current ETL (Extract Transform Load) tools are not architected for Hadoop so projects require expensive custom coding. SourceThought provides an intuitive browser based visual workspace that has full access to Hadoop capabilities supporting parallel processing of unstructured data. Transitioning from current ETL and EDW environments to SourceThought creates substantial ROI by avoiding licensing and maintenance costs and lowering hardware costs. As enterprises strive to utilize their web logs, Twitter, Facebook, mobile, messaging, sensor and other data, SourceThought easily and economically onboards these new big data sources. SourceThought is backed by Frost Venture Partners, an incubator and investment fund focused on big data innovation.
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