Cloud Data Services For Multicloud Flexibility

As businesses update their data architecture for multicloud, they’re turning to cloud data services to get the flexibility they need. These services ingest, process and connect 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 time and money as well as energy because they no longer need to manage and construct infrastructure in their data centers. IaaS is flexible enough to manage a variety of workloads. From large and small databases as well as memory- or computation-optimized instances depending on the need.

Storage-as-a-Service (SaaS): SaaS solutions store data remotely in logical pools which can be accessed via a web browser or a mobile app. Businesses typically pay for the amount of storage they use in a given 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. Cloud service providers can scale up or decrease capacity of computing in real-time to meet demand. They bill for the execution of application code. This is similar to renting out houses, where you only pay for the rooms when you are eating or watching TV and not all at all at.

The best cloud data services can be utilized 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’re also protected by default and come with advanced compliance, redundancy and resilience and recovery capabilities.

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