Browse Definitions :
Definition

data gravity

Contributor(s): Ivy Wigmore

Data gravity is the ability of bodies of data to attract applications, services and other data. The force of gravity, in this context, is manifested in the way software, services and business logic are drawn to data relative to its mass (the amount of data) and, as a result, are physically located closer to the data. The larger the amount of data, the more applications, services and other data will be attracted to it and the more quickly they will be drawn. 

IT expert Dave McRory coined the term data gravity as an analogy to the way that, in accordance with the physical laws of gravity, objects with more mass attract those with less. In this analogy, applications and services also possess gravity but not as much as a large body of data and, naturally, smaller bodies of data have less gravity than larger ones.

In practical terms, moving data farther and more frequently impacts workload performance, so it makes sense for data to be amassed and for associated applications and services to be located nearby. Hyperconvergence illustrates the concept of data gravity. In a hyper-converged infrastructure, compute, networking and virtualization resources are tightly integrated with data storage within a commodity hardware box.

Also, the more data that exists in a given source or repository, the greater its perceived value will be. Software and services are brought to the data as a means of exploiting its value. Similarly, the greater the amount of data, the more other data might be connected to it, increasing its value for analytics.

According to McRory, data gravity is moving to the cloud. As more and more internal and external business data is moved to the cloud or generated there, data analytics tools are also increasingly cloud-based.  

McRory differentiates between naturally-occuring data gravity and similar changes created through external forces such as legislation, throttling and manipulative pricing, which he refers to as artificial data gravity.

This was last updated in May 2017

Continue Reading About data gravity

Join the conversation

1 comment

Send me notifications when other members comment.

Please create a username to comment.

Do you think the necessarily distributed nature of IoT data processing will disrupt data gravity?
Cancel

-ADS BY GOOGLE

Extensions de fichiers et formats de fichiers

Motorisé par:

SearchCompliance

  • risk management

    Risk management is the process of identifying, assessing and controlling threats to an organization's capital and earnings.

  • compliance as a service (CaaS)

    Compliance as a Service (CaaS) is a cloud service service level agreement (SLA) that specified how a managed service provider (...

  • data protection impact assessment (DPIA)

    A data protection impact assessment (DPIA) is a process designed to help organizations determine how data processing systems, ...

SearchSecurity

  • identity provider

    An identity provider is a system component that is able to provide an end user or internet-connected device with a single set of ...

  • encryption

    Encryption is the method by which information is converted into secret code that hides the information's true meaning. The ...

  • cybersecurity

    Cybersecurity is the protection of internet-connected systems -- including hardware, software and data -- from cyberattacks.

SearchHealthIT

SearchDisasterRecovery

  • business continuity plan (BCP)

    A business continuity plan (BCP) is a document that consists of the critical information an organization needs to continue ...

  • disaster recovery team

    A disaster recovery team is a group of individuals focused on planning, implementing, maintaining, auditing and testing an ...

  • cloud insurance

    Cloud insurance is any type of financial or data protection obtained by a cloud service provider. 

SearchStorage

Close