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MarkLogic, the NoSQL database that helped solve the online registration snafu of Healthcare.gov, the Affordable Care Act website, in 2014, on July 17 launched the MarkLogic Query Service, a new way to give customers automatic elasticity in the cloud for their enterprise workloads.
The new software-as-a-service application automatically adds and removes query processing capacity to a database cluster as workload demand rises and falls, resulting in agility and responsiveness for end users. This has the potential save a lot of time and effort for IT managers as they schedule various workloads on premises or in single or multiple clouds.
Most applications, whether cloud-native or legacy, have user demand that varies over time and is often hard to predict. MarkLogic’s Query Service allows these applications to automatically provision the appropriate resources available to meet a current demand without overprovisioning or forcing the end-user to overpay for temporary capacity, the company said.
By combining different purchasing models for base and burst capacity, enterprise customers can keep query capacity in lock-step with demand with no administrative overhead, fast response times, and a decent cost model, MarkLogic said.
How MarkLogic NoSQL Does This
The MarkLogic Query Service takes advantage of MarkLogic’s proprietary architecture to handle constantly changing demands. Unlike other databases, MarkLogic’s architecture separates query activities (mostly computation) from storage activities (including journaling, data distribution, and other on-disk data management).
Storage activities typically make database scaling very slow and costly. Because of its ability to separate storage functions, MarkLogic can rapidly add query capacity to a cluster. It does this while maintaining the enterprise guarantees it has always provided and that newer databases are still struggling to add, the company said.
Not every enterprise needs a big, bulky relational database. MarkLogic develops and provides services for an alternative database to the big relational ones that Oracle, IBM, SAP, Microsoft SQL, Software AG, Teradata and others built years ago and that require a lot of supervision and maintenance. Most are decades-old databases that rely on often slow-moving, time-consuming ETL (extract, transform and load) tools to integrate data from silos.
Navigates Data Lakes
MarkLogic navigates data lakes of unstructured data but also handles structured data. MarkLogic is aimed at improving system performance in three main focus areas: data integration from silos, data manageability and security.
For more information on MarkLogic’s Query Service, go here.
