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    Tesora Updates DBaaS Platform, Focuses on OpenStack Icehouse

    Written by

    Darryl K. Taft
    Published April 17, 2014
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      Tesora, provider of a database-as-a-service (DBaaS) platform on OpenStack, announced the latest release of the Tesora Database Virtualization Engine.

      Version 1.5 of the Tesora Database Virtualization Engine establishes a new customer performance benchmark, posting an 80-fold increase in capacity while providing reductions in latency. Tesora 1.5 delivers adaptive multitenancy, elastic scale-out and a Web-based intuitive UI with new features that add support for SQL views, a cost-based planner and support for MariaDB. It can be used with OpenStack, Amazon Web Services and other cloud platforms, as well as on-premises.

      “More and more business is done on the web and our customers find themselves trying to balance the growing demands of complex query processing, high concurrency and instantaneous response times,” said Amrith Kumar, CTO of Tesora, in a statement. “At Tesora, we’re committed to bringing the benefits of scale out DBaaS simplicity without forcing any customer code changes and making it easy to add database capacity as demand grows.”

      Application developers have to build apps that can handle demands from tens of thousands of impatient users who concurrently request access to customized online content. Such demands put extreme stress on a company’s database. Tesora customers such as New York City-based mobile development company Majestyk Apps are already leveraging the Tesora Database Virtualization Engine to get their databases to scale and respond quickly.

      Majestyk was hired to develop a consumer-facing social application that increases a user’s engagement by adding a custom rating system to their photos. The histogram service shows the popularity of user photographs, with tens of thousands of concurrent users and millions of photographs. A sophisticated algorithm decides what pictures to show to whom. The histogram has to be rendered on demand and reflect the most recent comments and ratings by other users. The complex schema and queries make sharding infeasible. In addition, the demand for near instant access to newly uploaded photographs means that simply caching results is insufficient.

      Without having to rewrite a single line of code in their application, Majestyk saw dramatic results after implementing Tesora’s Database Virtualization Engine, including the aforementioned 80-fold increase in capacity, a sharp reduction in latency and a 60 percent cut in server computing costs, Tesora said.

      “When it comes to scaling, Tesora is our first option,” said Majestyk CEO Donald Coolidge in a statement. “Tesora offers an elegant solution that streamlines our development process, improves the experience for end users and saves money in the process.”

      Formerly known as ParElastic, the company re-emerged as Tesora in February. Company officials explained that Tesora means “treasure” in Italian, and the company joined the OpenStack community to collaborate and contribute its database expertise to the OpenStack DBaaS project, Trove. The company name change represents the new strategic direction to focus on the Trove project.

      The Trove project became an official OpenStack project with the Icehouse release of OpenStack today. The idea is that Trove will eventually become the OpenStack equivalent of the Amazon Relational Database Service (Amazon RDS). Tesora is staking its future on Trove’s success and has dedicated a number of their engineers to work on the project full-time.

      Darryl K. Taft
      Darryl K. Taft
      Darryl K. Taft covers the development tools and developer-related issues beat from his office in Baltimore. He has more than 10 years of experience in the business and is always looking for the next scoop. Taft is a member of the Association for Computing Machinery (ACM) and was named 'one of the most active middleware reporters in the world' by The Middleware Co. He also has his own card in the 'Who's Who in Enterprise Java' deck.

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