As companies update their data architecture to support multicloud and cloud computing, they’re turning to cloud data services to gain the flexibility they require. These services can ingest data from multiple sources, process them, and connect them to multiple 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 energy, as well as money by eliminating the need to manage and build infrastructure in their data centers. IaaS solutions are flexible enough to accommodate different types of workloads, ranging from large and small databases to memory-optimized or compute-optimized instances, as required.
Storage-as-a-Service (SaaS): SaaS solutions store data remotely in logical pools that can be easily accessed via a web browser or a mobile application. Businesses pay for the storage they use within the course of a particular month quarter, year, or even 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 compute capacity to meet demand in real-time. The cloud service provider charges for the execution of the application code, which is similar to renting a house one room at a time. You only pay for your bedrooms or dining areas when you’re eating or watching TV, and not all the rooms in one go.
The top cloud data services can be deployed on the cloud that is public or spread across multiple private clouds, and they integrate with first-party providers to enable rapid data analytics. They are also designed to be secure with high-end redundancy and compliance features.
