As businesses update their data architecture for multicloud as they upgrade their data architecture, they’re turning towards cloud data services to get the flexibility they need. These services process, ingest and connect data sources across multiple platforms to provide consistent 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, money, and energy by removing the need to build and manage infrastructure in their data centers. IaaS is able to handle a variety of workloads. From small and large databases and memory- or computation-optimized instances depending on the need.
Storage-as a Service (SaaS). SaaS solutions see post allow you to store data remotely, in virtual pools. They are accessible through a mobile application or a web-browser. Businesses pay for the storage they use in 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. Cloud service providers can scale up or decrease computing capacity in real-time to satisfy demand. They charge for the execution of application code. This is similar to renting houses, where you only pay for rooms when you’re eating or watching television, and not all at all at.
Cloud data services are accessible on a variety of private clouds or the public cloud. They also offer first-party integrations that speed up analysis of data. They’re also secured by default and come with advanced compliance, redundancy, recovery and reliability capabilities.