Cloud data services offer the flexibility needed by companies when they upgrade their data architecture to multicloud. These services integrate multiple data sources, process them and connect them across various environments to offer 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 can save them time and money as well as energy by removing the need to build and manage infrastructure for their data centers. IaaS solutions are able to accommodate different types of workloads, from small and large databases to memory- or compute-optimized instances, as required.
Storage-as-a-Service (SaaS): SaaS solutions store data remotely in logical pools that are accessible via a web browser or a mobile app. Businesses pay for the storage they utilize in a specific month or quarter, or even the entire 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 spin up or down computing capacity to respond to demand in real-time. It also charges for the execution of applications, similar to renting a house one room at a time: only paying for your bedrooms or dining areas when you're eating or watching TV, and not all the rooms at once.
The top cloud data services can be utilized on the public cloud or across multiple private clouds, and they provide first-party integrations that allow for enhanced data analytics. They are also designed to be secure with high-end redundancy and compliance options.