Data Management Glossary
Cloud Data Management
What is Cloud Data Management?
Cloud data management is a way to manage data across cloud platforms, either with or instead of on-premises storage. The goal is to curb rising cloud storage costs, but it can be quite a complicated pursuit, which is why most businesses employ an external company offering cloud management services.
Cloud data management is emerging as an alternative to data management using traditional on-premises software. The benefit of employing a top cloud data management company means that instead of buying on-premise storage resources and managing them, resources are bought on-demand in the cloud. This service model allows organizations to receive dedicated cloud data management resources on an as-needed basis. Cloud data management also involves finding the right data from on-premises storage and moving this data through data archiving, data replication or data migration to the cloud.
Optimal cloud data management provides four key capabilities that help to reduce cloud storage costs:
- Gain Accurate Visibility Across Cloud Accounts into Actual Usage
- Forecast Savings and Plan Data Management Strategies
- Archive Based on Actual Data Usage to Avoid Surprises
- Using last-accessed time vs. last modified provides a more predictable decision on the objects that will be accessed in the future, which avoids costly archiving errors.
- Radically Simplify Migrations
- Easily pick your source and destination
- Run dozens or hundreds of migrations in parallel
- Reduce the babysitting
The many benefits of cloud data management include speeding up technology deployment and reducing system maintenance costs; it can also provide increased flexibility to help meet changing business requirements.
But, like other cloud computing technologies, cloud data management can introduce challenges – for example, data security concerns related to sending sensitive business data outside the corporate firewall for storage. Another challenge is the disruption to existing users and applications who may be using file-based applications on premise since the cloud is predominantly object based.
Cloud data management solutions should provide you with options to eliminate this disruption by transparently managing data across common formats such as file and object.
Find out about Komprise Intelligent Data Management for Multicloud
Some common features and capabilities cloud data management solutions should deliver:
- Data Analytics: Can you get a view of all your cloud data, how it’s being used, and how much it’s costing you? Can you get visibility into on-premises data that you wish to migrate to the cloud? Can you understand where your costs are so you know what to do about them?
- Planning and Forecasting: Can you set policies for how data should get moved either from one cloud storage class to another or from an on-premises storage to the cloud. Can you project your savings? Does this account for hidden fees like retrieval and egress costs?
- Policy based data archiving, data replication, and data management: How much babysitting do you have to do to move and manage data? Do you have to tell the system every time something needs to be moved or does it have policy based intelligent automation?
- Fast Reliable Cloud Data Migration: Does the system support migrating on-premises data to the cloud? Does it handle going over a Wide Area Network? Does it handle your permissions and access controls and preserve security of data both while it’s moving the data and in the cloud?
- Intelligent Cloud Archiving, Intelligent Tiering and Data Lifecycle Management: Does the solution enable you to manage ongoing data lifecycle in the cloud? Does it support the different cloud storage classes (eg High-performance options like File and CloudNAS and cost-efficient options like S3 and Glacier)?
In practice, the design and architecture of a cloud varies among cloud providers. Service Level Agreements (SLA) represent the contract which captures the agreed upon guarantees between a service provider and its customers.
It is important to consider that Cloud administrators are responsible for factoring:
- Multiple billable dimensions and costs: storage, access, retrievals, API, transitions, initial transfer, and minimal storage-time costs
- Unexpected costs of moving data across different storage classes. Unless access is continually monitored and data is moved back up when it gets hot, you’ll face expensive retrieval fees.
This complexity is the reason why only a mere 20% of organizations are leveraging the cost-saving options available to them in the cloud.
A cloud data management platform like Komprise, named in the Gartner Peer Insights Awards, that is analytics-driven, can help you save 50% or more on your cloud storage costs.