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August 26, 2014

Splice Machine Announces Advisory Board

SAN FRANCISCO, Calif., Aug. 26 — Splice Machine, provider of the only Hadoop RDBMS, today announced its initial Board of Advisors, which includes technology luminaries Roger BamfordMike FranklinMarie-Anne Neimat and Ken Rudin.

“We are honored and pleased to have support and expert guidance from some of the smartest and most experienced individuals in the database space,” said Monte Zweben, co-founder and CEO, Splice Machine. “We are confident that the deep knowledge and unique backgrounds of our advisors, in combination with the skill sets of the Splice Machine team, gives us the foundation to accelerate our footprint in the market.”

Franklin, a widely published academic leader with an extensive knowledge of databases, along with Bamford, Neimat and Rudin, three industry leaders, will advise Splice Machine on its product roadmap and go-to-market strategy.

Roger Bamford is a database luminary and until recently, the Principal Architect of Server Technologies at Oracle. Mr. Bamford, known as the father of Oracle RAC, was an original member of Oracle’s database team. Holder of dozens of patents relating to database and clustering technology, he was responsible for many software innovations relating to the architecture and performance of relational databases at Oracle.

Michael Franklin is the Siebel Professor of Computer Science and Chair of the Computer Science Division at UC Berkeley. He is also Director of the UC Berkeley AMPLab, where the open-source data analytics cluster computing framework, Apache Spark, was created. Dr. Franklin has more than 30 years in the database and distributed systems fields as a faculty member, entrepreneur, architect, researcher, consultant, and software developer.

“Over the past 30 years or so, it’s been fascinating to see all of the new disruptive innovations in the database industry, but what Splice Machine is doing is truly unique,” said Franklin. “As they gain traction in the marketplace, customers of legacy transactional database systems will have a very viable alternative to their costly, scale-up databases.”

In-memory database pioneer Marie-Anne Neimat co-founded TimesTen, Inc., the first company to develop and commercialize an in-memory relational database. Neimat brings a track record of database innovation, serving as Vice President of Engineering for three of Oracle’s databases, namely Oracle TimesTen In-Memory Database, which Oracle acquired, Oracle Berkeley Database, also acquired by Oracle, and Oracle NoSQL Database. Neimat is the holder of several patents, and the author of many publications in refereed conferences and journals.”

Ken Rudin, head of analytics for Facebook, is an entrepreneur with a unique combination of leadership skills, analytical strength, technology and marketing expertise. Ken honed his database knowledge at Oracle, where he served as General Manager, Data Warehousing and Parallel Systems. He also served as VP and General Manager of Siebel CRM OnDemand Division & VP of Marketing, Siebel Analytics. He further enhanced his skills at Zynga, where he served as VP of Analytics and Platform Technologies. His passion for evangelizing new ideas will help Splice Machine increase its share of voice as a leader in the space.

“The database market is undergoing fundamental shifts in customer needs,” said Rudin. “Increasingly, applications and analytics require real-time data and transactions to truly provide deeper insights and respond in real-time. The Splice Machine team stands out to me as having the right combination of vision, product knowledge and expertise to unlock those insights and emerge as a disruptive force in databases by powering a whole new generation of data-driven applications for the enterprise.”

The Splice Machine database enables companies to replace traditional RDBMS that are too costly or difficult to scale. A full-featured, transactional Hadoop RDBMS with ANSI SQL compatibility, Splice Machine moves Hadoop beyond its batch analytics heritage to power operational applications and real-time analytics.

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