Choosing the right cloud storage solution for your business

Article Summary:
The difference between Google, Microsoft and Amazon cloud storage?

While very similar, the 3 biggest names in cloud storage all have their pros and cons. As a general rule, Google tends to have better customer service, Microsoft has more data centres globally, and Amazon is slightly cheaper, however, these are all variable depending on your needs.

As you can see, Microsoft Azure Storage is slightly cheaper (in the review scenario) but there isn’t a big difference in price between the two.

All three products also have COOL and COLD tiers that allow you to archive information that does not need to be immediately accessed, but you may incur charges for retrieving this data early.

Please see the product calculators for more personalised estimates:

Google Cloud Storage
Microsoft Azure Storage
AWS

1. Manage storage costs and performance with OLM

Configure your data with Object Lifecycle Management (OLM) to automatically transition to lower-cost storage classes when it meets the criteria you specify, such as when it reaches a certain age or when you’ve stored a newer version of the data.

2. Location types for different redundancy and performance needs.

Cloud Storage has an ever-growing list of worldwide locations where you can store your data with multiple automatic redundancy options. Whether you are optimizing for split-second response time, or creating a robust disaster recovery plan, customize where and how you store your data.

3. Storage classes for any workload.

Storage classes determine the availability and pricing model that apply to the data you store in Cloud Storage. Tiers include Standard, Nearline, Coldline and Archive.

1. Scalable, durable, and available.

Sixteen nines of designed durability with geo-replication and flexibility to scale as needed.

2. Secured

Authentication with Azure Active Directory and role-based access control (RBAC), plus encryption at rest and advanced threat protection.

3. Optimized for data lakes

File namespace and multi-protocol access support enabling analytics workloads for data insights.

4. Comprehensive data management

End-to-end lifecycle management, policy-based access control, and immutable (WORM) storage

1. Storage

Data is stored as objects within resources called “buckets”, and a single object can be up to 5 terabytes in size.

2. Customizable

S3 features include capabilities to append metadata tags to objects, move and store data across the S3 Storage Classes, configure and enforce data access controls, secure data against unauthorized users, run big data analytics, and monitor data at the object and bucket levels.

3. Access

Objects can be accessed through S3 Access Points or directly through the bucket hostname.

As you can see from the table above, Microsoft Azure has more data centers positioned around the globe, offering more choice, compliance and resiliency. However, AWS and Google Cloud Storage offer considerable global coverage as well, especially in North America, Europe and Asia / Australasia (with more being added regularly).

All three products offer S3 Compatible storage that allows access and management of the data it stores over a compliant interface.

Furthermore all three products offer an availability SLA of over 99%. This means that all three solutions claim to have almost constant uptime (with a downtime of less than 6 minutes per year).

Google regions (2020)

All three storage options have their advantages and disadvantages for each use case. Please visit the following links for a more in depth look at what each solution can offer.

Google Cloud Storage

Microsoft Azure Storage

Amazon Web Services

No matter which supplier you choose, cloud storage is an effective way to store data, but in particular well suited to archived user data. Read more about how you can save money by taking advantage of cloud storage for your archived user data by reading one of our other articles: Archived User Licenses vs. Cloud Storage.