Cloud Data Services For Multicloud Flexibility

Cloud data services provide the flexibility companies require when they upgrade their data architecture to multicloud. These services integrate multiple data sources, process them and connect them across various environments to provide high-performance analytics.

Infrastructure-as-a-Service (IaaS): Companies rent computing resources, like virtual servers, storage and database software, through a cloud service provider. This saves them time and energy, as well as money by removing the need to build and manage infrastructure for their data centers. IaaS solutions are flexible enough to accommodate a variety of workloads, from small and large databases to memory- or compute-optimized instances, as needed.

Storage-as a Service (SaaS). SaaS solutions let you store data remotely, in logical pools. You can access them via a mobile application or a web-browser. Businesses typically pay for the amount of storage they use over the course of a month, quarter or year.

Function-as-a-Service (FaaS): FaaS allows developers to run code for applications and back-end services without the need to provision or manage servers. Cloud service providers can scale up or down capacity of computing in real time to meet the demand. They bill for the execution of application code. This is similar to renting a house, where you only pay for rooms when you are eating or watching television, and not all at once.

The most reliable cloud data services can be deployed in the public cloud or across multiple private clouds, and they provide first-party integrations that allow for accelerated data analytics. They’re also secure by default with advanced compliance, redundancy and recovery and reliability capabilities.

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