Cloud Data Services For Multicloud Flexibility

As businesses update their data architectures to accommodate multicloud and cloud computing, they’re turning to important source cloud data services in order to gain the flexibility they require. These services ingest, process and connect various data sources across multiple environments to ensure 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 and energy, as well as money by not having to build and manage infrastructure for their data centers. IaaS can be adapted to handle different types of workloads. From large and small databases and memory- or computation-optimized instances depending on the requirements.

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 typically pay for the amount of storage they use during a quarter, month 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 compute capacity to satisfy demand in real time and bills for the execution of applications, which is like renting a house one room at a time: only paying for dining or bedrooms when you’re eating or watching TV, and not all rooms at once.

The best cloud-based data services can be deployed on the public cloud or spread across multiple private clouds, and they include first-party integrations for enhanced data analytics. They are also secure by design with high-end redundancy and compliance options.