Cloud data services have revolutionized the way businesses work. From offering productive tools like email, calendars and conferencing, they have also provided complex applications that drive data-driven projects. They alleviate the burden of maintaining internal infrastructure, re-updating operating software and systems, as well as eliminating or removing equipment and software that become obsolete. They also have access to specialized resources and capabilities that are difficult for smaller businesses to manage or manage or afford.

The most well-known type of cloud data services is Infrastructure as a Service (IaaS). IaaS providers supply VM instances, storage and application programming interfaces to let customers move and host production workloads in the cloud. IaaS is typically provided as a pay-as -you-go subscription to lower upfront costs, and to allow IT to scale up capacity as needed.

Other types of cloud data services include database-as-a-service. This allows organizations to store and retrieve large amounts of structured data at a low latency. Some vendors also offer real-time data storage, which can provide millisecond-long response times. Examples are Amazon DynamoDB and Google Bigtable that can be used as high-performance databases in-process for data processing applications.

The cloud can also make it easier to collaborate remotely and access work documents across multiple devices. For instance, many organizations rely on SaaS tools like Google Docs or Microsoft 365 to share documents and presentations. They can also use cloud-based videoconferencing services like Zoom to connect with clients and employees in different locations.