Cloud data services offer the flexibility that companies need to update their data architecture to multicloud. These services can ingest data from multiple 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 helps them save time and energy, as well as money by eliminating the need to manage and build infrastructure in their data centers. IaaS solutions are able to accommodate a variety of workloads, from large and small databases to memory- or compute-optimized instances, based on the requirements.
Storage-as-a-Service (SaaS): SaaS solutions store data remotely in logical pools that are accessible through a web browser or a mobile app. Businesses typically pay for the amount of storage they use over a month, quarter or even a whole 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. The cloud service provider spins up or down computing capacity to meet demand in real-time. The cloud service provider charges for the execution of application code, which is similar to renting a house for a single room at a time. You only pay for your bedrooms or dining areas while you’re eating or watching TV, not all rooms at once.
Cloud data services are available across multiple private clouds as well as the public cloud. They also offer first-party integrations that speed up data analysis. They are also designed to be secure with sophisticated redundancy and compliance options.