CAMBRIDGE, Mass., Dec. 9 /PRNewswire/ -- Basho Technologies, Inc., a provider of distributed data store and analytics software, today launched its Riak EnterpriseDS for Startups program with three innovative startup companies: Cedexis, Teleskele, and a stealth Massachusetts-based startup headed by Thomas Fredell, former CTO of IntraLinks, Inc. Designed to meet the unique needs of early-stage, innovative companies with advanced analytical, data replication, and support needs but who are self-funded or in the pre-institutional funding phase, the program provides qualified clients with licenses to Riak EnterpriseDS ( http://www.basho.com/enterpriseds.html) on a pay-what-you-can basis. "The deal is simple: pay what you can, get great code and better service. When we are in a position to pay more we will," said Marty Kagan, CEO and Co-founder of Cedexis ( http://www.cedexis.com/) which provides a collective intelligence platform for next-generation web traffic management strategies. Riak EnterpriseDS for Startups ( http://www.basho.com/startups.html) customers typically have three qualifications in common: they are incorporated as a business, have not received institutional funding, and are willing to participate in case studies, feature design meetings, and serve as references. "When we say pay-what-you-can, we mean it," says Earl Galleher, Basho's CEO. "With this program we hope more interesting Internet startups will get to market with world class infrastructure that allows them to scale cost-effectively." "We needed to demonstrate to early customers that we could scale," said Gokhan Bayraktar, General Manager of Teleskele, which provides an international, multilingual, globally distributed, content-driven ad network. "Basho didn't ask how much we could pay. They asked us what we wanted to build and how could we build it together." "Without Riak, I would not be able to execute this business nearly as well," said Thomas Fredell, CTO and co-founder of a Boston-based startup in stealth mode and previously CTO of IntraLinks. "We need to analyze and query a huge body of data as it collects and with very low latency. The simple scalability and distributed map/reduce features of Riak make that possible."