Cirro, the company that enables on-demand analysis across all disparate data sources, announced today that it has received a strategic investment from GE Ventures as part of Cirro’s Series A Funding Round which was previously announced October 9, 2013. Their participation follows on the Series A investment led by Toba Capital, Frost Data Capital and Miramar Venture Partners.
GE’s investment is aligned with Cirro’s business strategy to support the industry’s growing movement to merge the old world of relational databases with the new world of big data enabled by platforms like Cloud, Hadoop and NoSQL. The Series A funds will be used to expand Cirro’s product lines, scale the company’s professional services, and increase sales and marketing activities.
We’re pleased to have GE Ventures complete our Series A round of funding,” said Mark Theissen, CEO, Cirro. “Our partnership with GE represents an exciting opportunity for us to investigate many markets where customers are looking to perform fast, on-demand analysis across all their data without the need for traditional ETL or data virtualization.”
Cirro is the Data Federation Hub that seamlessly facilitates the joining of relational, SaaS or Hadoop data while optimizing, orchestrating and managing the overall query processing. Using business intelligence tools already on the desktop, analysts now have the ability to ask questions across their entire data ecosystem. Cirro provides a single point of access to all data regardless of type, size or source enabling the third wave of the Internet revolution in industries.
Connecting millions of machines, facilities and networks with advanced sensors means data will exist in many locations and formats. The ability to perform analytics across multiple data sources in different places will offer both new insights and technical challenges,” said Brett May, Head of Business Development and Ventures, GE Software. “Cirro’s innovative approach to federate the processing of analytics gives decision makers new insights through on-demand analytics across any type of data from any source.”
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