How MarkLogic Data Hub Service Makes Mass Data Useful

MarkLogic claims that the Data Hub Service provides a fast and cost-effective way for enterprises to integrate, store, analyze and secure mission-critical data in the cloud. None of this is ever easy, despite what company marketers will tell you.

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MarkLogic, a rising NoSQL database provider that’s regularly taking business away from larger vendors, on Oct. 9 launched the MarkLogic Data Hub Service, a new way to give users what the company calls “automatic elasticity” in the cloud for their enterprise workloads.

MarkLogic claims that the Data Hub Service provides a fast and cost-effective way for enterprises to integrate, store, analyze and secure mission-critical data in the cloud. None of this is ever easy, despite what company marketers will tell you.

The Data Hub Service, which works specifically alongside MarkLogic’s NoSQL database, can integrate large swaths of business and user data in a cost-efficient manner. Curated data in the hub then is able to fuel analytical and transactional applications, IoT analysis, knowledge graphs, artificial intelligence and machine learning, the company said.

The Data Hub technology on which the service is built integrates data with a high level of enterprise-grade data security and reliability. By offering the Data Hub as a service, enterprises looking for greater data agility, security and governance in the cloud can leapfrog multiple point services--and save time and money.

MarkLogic Navigates Unstructured Data and Structured Data

MarkLogic develops and provides services for its 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, MarkLogic CEO Gary Bloom, himself a former longtime Oracle executive, told eWEEK.

MarkLogic navigates data lakes of unstructured data but also handles structured data. MarkLogic is aimed at improving performance in three main focus areas: data integration from silos, data manageability and security. Sounds simple, but all of these things are hard to do well. 

Enterprises today are increasingly being overwhelmed by data. As a result, they are gravitating toward solutions that are simple to use and provide more agility with less operational overhead. MarkLogic Data Hub Service provides DevOps teams with agility in order to rapidly integrate data, but with none of the operational overhead, meaning they can focus on “Dev,” not “Ops.” This is where the business value lies, Bloom said.

Data Lakes Done Right

When they started showing up in data centers several years ago, data lakes promised to help with the data deluge faced by all organizations; however, that promise has largely gone unsatisfied. Industry analysts have discussed the many causes of this, including a lack of governance, semantic inconsistency, and inflexibility. MarkLogic Data Hub Service is built from scratch to address those challenges.

While workloads may vary from minute to minute, budgets do not. Enterprises need a predictable cost model that can adjust to varying demand. MarkLogic’s architecture allows resources to be added and removed from the underlying database in seconds, something that hasn’t been possible until now.

The Data Hub Service uses the same technology that was first delivered in MarkLogic Query Service to allow bursting to meet peak loads while providing a completely predictable cost aligned with baseline usage unlike an expensive, over-provisioned solution, or a costly and unpredictable on-demand approach.

Leapfrogging Database as a Service

The MarkLogic Data Hub provides business value beyond what is seen in any database at this time. It handles different data types (e.g. documents, graphs, relational, and geospatial) from different data sources (e.g. RDBMS, message buses, streaming data, etc.) to be integrated curated, mastered, governed, searched, queried, and harmonized within a single architecture.

Trying to achieve similar capabilities with traditional approaches requires stitching together ten or more different components on top of a database, which results in higher costs, complexity, brittleness, and overhead.

Click here for more information on the availability, pricing, end-user benefits and value of MarkLogic Data Hub Service.

Chris Preimesberger

Chris J. Preimesberger

Chris J. Preimesberger is Editor-in-Chief of eWEEK and responsible for all the publication's coverage. In his 13 years and more than 4,000 articles at eWEEK, he has distinguished himself in reporting...