- 15 March, 2015
Franz Receives 2015 Best Semantic Graph Database Award
Oakland, CA — March 10, 2015 — — Franz Inc. has been selected for the 2015 Best of Oakland Award in the Graph Database Technologies category by the Oakland Award Program.
Each year, the Oakland Award Program identifies companies that we believe have achieved exceptional marketing success in their business category. Interest in Graph Databases exploded in 2014, according to DB-engines.com. Franz Inc. is a leader in this sector and well positioned to capitalize on the momentum in this market going into 2015.
Various sources of information were gathered and analyzed to choose the winners in each category. The 2015 Oakland Award Program focuses on quality, not quantity. Winners are determined based on the information gathered both internally by the Oakland Award Program and data provided by third parties.
About Oakland Award Program
The Oakland Award Program is an annual awards program honoring the achievements and accomplishments of businesses throughout the Oakland area. Recognition is given to those companies that have shown the ability to use their best practices and implemented programs to generate competitive advantages and long-term value. The Oakland Award Program was established to recognize the best businesses in our community. Our organization works exclusively with business owners, trade groups, professional associations and other business advertising and marketing groups. Our mission is to recognize the small business community’s contributions to the U.S. economy.
About Franz Inc.
Franz Inc. is an innovative technology company with expert knowledge in developing and deploying graph search solutions. AllegroGraph, Franz’s high-performance, transactional, and scalable graph database, provides the solid storage layer for powerful Enterprise grade NoSQL solutions. Franz’s products and professional services are uniquely positioned to help bring your complex ideas to reality.
All trademarks and registered trademarks in this document are the properties of their respective owners.