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Cloud data services provide the flexibility that companies need when they upgrade their data architecture to multicloud. These services process, ingest and connect data sources across multiple environments to provide constant 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 time, money, and energy by removing the need to build and manage infrastructure in their data centers. IaaS solutions are flexible enough to adapt to different types of workloads, ranging from large and small databases to memory-optimized or compute-optimized instances, depending on the need.
Storage-as a Service (SaaS). SaaS solutions allow you to store data remotely, and in virtual pools. They are accessible through a mobile application or a web-browser. Businesses typically pay for the amount of storage they consume over the course of a month, quarter or a 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 respond to demand in real-time. It also bills for the execution of applications, similar to renting a house, one room at a time. You only pay for dining or bedrooms when you’re eating or watching TV, not all rooms at once.
The most reliable cloud data services can be deployed in the public cloud or across multiple private clouds. They include first-party integrations for enhanced data analytics. They’re also secured by default, and have advanced compliance, redundancy, reliability and recovery capabilities.