SAN CARLOS, Calif. — January 19, 2010 — MarkLogic Corporation, a leading provider of information infrastructure software, today announced MarkLogic Cloud Services, a new line of services that will make MarkLogic software available on Amazon Web Services. The first such offering in this line is MarkLogic Server for EC2, which enables customers to use MarkLogic on a pay-by-the-hour basis on Amazon EC2, the popular elastic computing cloud platform.
“As a provider of hosted electronic discovery systems, deployments into cloud infrastructures will help us better manage hardware resources and improve our time-to-market,” said Bruce Kiefer, vice president hosting applications, Catalyst Repository Systems. “MarkLogic Cloud Services represents an exciting option in how we leverage MarkLogic software to build innovative information applications.”
MarkLogic Server for EC2 consists of an Amazon Machine Image (AMI) with MarkLogic Server pre-installed. For faster and easier deployment, users can subscribe to the MarkLogic Server AMI directly from Amazon Web Services. This service also allows users to manage costs more effectively because customers pay for only the resources they need.
MarkLogic Server is also now certified on two cloud infrastructures. The first is Amazon EC2, where customers can deploy MarkLogic Server on this low cost, highly flexible infrastructure offered by Amazon Web Services. The second is the VMware virtualization platform, which enables customers to implement clouds on self-managed hardware.
“The demand for our software is white-hot because organizations in a variety of different industries are realizing that unstructured information is an integral part of their business,” said Jason Monberg, vice president of product management, MarkLogic Corporation. “We see the emerging trend in cloud computing environments as a way to offer customers greater flexibility in developing and deploying the next-generation of information applications.”
MarkLogic helps customers create value from complex data faster. Our platform ingests data from any source, creating and refining metadata to support powerful models. Customers use these models for deep search and query, building enterprise applications and bringing unique insights to analytics and machine learning.