As companies update their data architectures for multicloud as they upgrade their data architecture, they’re turning towards cloud data services in order to gain the flexibility they need. These services ingest multiple data sources, process them and connect them across multiple environments to provide 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 and money as well as energy by not having to build and manage infrastructure for their data centers. IaaS solutions are flexible enough to handle a variety of workloads, ranging from large and small databases to compute-optimized or memory-optimized instances, as needed.
Storage-as-a-Service (SaaS): SaaS solutions store data remotely in logical pools that can be accessed through a web browser or a mobile application. Businesses pay for the storage they use in a given 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 can scale up or decrease computing capacity in real time to meet the demands. They charge for the execution of application code. This is similar to renting an apartment, where you pay only for the rooms when you’re eating or watching television, and not all at the same time.
Cloud data services are available across multiple private clouds as well as the public cloud. They also provide first-party integrations to accelerate data analysis. They are also secure by design https://www.facerecognition.news/new-technology-gadgets-that-must-be-in-your-office with the most advanced compliance and redundancy capabilities.