Covering the essentials of business intelligence, explore the features & functions for an overview.
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On-premises architecture is comprised of data, software and applications that are installed and operated from an in-house server and computing infrastructure. It utilizes the organization’s native computing resources.
It is the traditional method for storing data and running enterprise applications, although it is quickly losing ground to cloud infrastructures like IaaS and PaaS.
Ultimately, on-premise solutions provide control to the business and users, which may be beneficial for sensitive data.
There are disadvantages to on-premise infrastructures. For example, the costs associated with managing and maintaining them are typically more expensive than cloud computing. On-premise applications require in-house server hardware, software licensing, integration and a local IT team for support. There are also recovery concerns if hardware fails. Organizations that maintain their own data centers need to have robust recovery plans in place in case of failures or natural disasters. Finally, the timeframe to purchase and stand up hardware in a local data center is much lengthier than implementing the same set up in the cloud.
Because there are benefits to both on-premise and cloud services, many businesses are choosing to combine the capabilities with hybrid solutions.
A hybrid cloud solution features elements of both on-premise and cloud computing. Sensitive data may be stored in-house, lowering the risk of a breach or data access issues, while still maintaining the speed, storage and cost benefits of the cloud for some processing.