UPDATED 08:30 EDT / JULY 17 2018

BIG DATA

MarkLogic debuts new cloud scaling service for its NoSQL database

MarkLogic Corp. today introduced a new service focused on enabling its namesake NoSQL database to run more efficiently in the public cloud.

The offering, dubbed the MarkLogic Query Service, can automatically scale a cloud-based database deployment up or down in accordance with the needs of the applications running on top. It does so by taking advantage of MarkLogic’s distinct design, which stands out from more conventional alternatives in a number of ways.

To start with, the platform has a multimodel architecture capable of storing different types of information that normally require multiple databases. Moreover, MarkLogic handles the task of querying records separately from other operational activities. This latter feature makes it relatively easy to adjust how much computing capacity is provisioned as database usage changes.

The MarkLogic Query Service builds on the platform’s native capabilities by automating the provisioning process. According to MarkLogic, the offering monitors the volume of queries that applications generate and spins up new cloud instances to provide extra computational power when the need arises.  

The offering automates a number of related tasks as well. In addition to cloud instances, the MarkLogic Query Service can allocate data storage, network capacity and other resources that the deployment may require. When application usage returns to normal levels, the extra infrastructure is deprovisioned.

The MarkLogic Query Service is available for Amazon Web Services on launch. By making it easier to use its database off-premises, MarkLogic is putting itself in a better position to target the growing number of enterprises that are shifting their application infrastructure to the cloud.  

Other players in the NoSQL segment are addressing the trend, too. Last month, MongoDB Inc. announced the general availability of Stitch, a serverless version of its popular document database that can run in the cloud. Serverless services abstract away the underlying infrastructure along with many of the boilerplate tasks normally involved in software projects.

Photo: Unsplash

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