Solving the Google Workspace 100 TB Storage Limit for Research Institutions Using AWS S3

Are you struggling to accept the storage limit policy changes for Google Workspace for Education?

Does the newly imposed 100 TB storage limit have you scrambling to find a new home for your data?

Don't want to deal with the headaches of building your own access and collaboration interface for S3?

Keep reading!

In the modern era, research institutions are generating and analyzing larger amounts of data than ever before. This trend is set to continue, as new technologies like AI, machine learning, and big data analytics continue to evolve. As a result, there has been a growing need for research institutions to store and manage vast quantities of research data. However, Google Workspace for Education has recently imposed a limit of 100TB across all end-users, creating a serious problem for research institutions with larger data sets.

Gladinet provides an access and collaboration front end for AWS S3 that provides virtually unlimited storage for these institutions.

Why the Limit of 100TB is a Challenge for Research Institutions

Research institutions generate vast amounts of data that needs to be stored, managed, and accessed by teams of researchers, faculty, and students. However, Google Workspace for Education has recently imposed a limit of 100TB across all end-users. This is a challenge for institutions with larger data sets, as it is simply not enough storage to meet their needs.

The 100TB limit might be sufficient for some institutions, but for those who generate large amounts of data on a regular basis, this limit presents a significant problem. Institutions will have to either find alternative storage solutions, delete data or purchase additional storage, which is not only time-consuming but also expensive. In addition, researchers and students might have to spend time migrating data between platforms, which can be a tedious and cumbersome process. As of this writing, Google limits data transfer to 750 GB per day. So, if Google Workspace holds the only copy of your data, it will take more than 3.5 years to extract the first 100 TB!

Solving the Problem Using Gladinet as a Front End for AWS S3

Gladinet provides an access and collaboration front end for storage services like S3 that provides virtually unlimited storage for research institutions. It offers a secure and scalable platform that enables researchers, faculty, and students to store, access, and collaborate on large amounts of data.

Gladinet allows institutions to use their existing storage infrastructure, providing a seamless and easy-to-use interface that simplifies the process of storing, accessing, and sharing research data. It integrates with S3, providing virtually unlimited storage space, without the need for additional hardware or infrastructure.

 

The Benefits of Using Gladinet as a Front End for AWS S3

Gladinet offers a solution to the limitations of cloud storage for research institutions. By using Gladinet as a front end for S3, institutions can provide secure and controlled access to data sets while still leveraging the benefits of virtually unlimited storage.

Gladinet offers a range of features that make it an ideal front-end for AWS S3. 

These features include:

1. Security: leverage advanced security features, including encryption, two-factor authentication, and access controls, that help keep data sets secure.
2. Collaboration: collaborate on data sets with colleagues and external partners. Users can share files and folders, control access to data sets, and monitor changes in real-time.
3. Control: leverage granular control over data sets, allowing users to set permissions, audit trails, and usage policies. This level of control is essential for institutions that need to comply with regulatory requirements.
4. Integration: integrates with a range of storage services, including AWS S3. This integration allows institutions to leverage the benefits of S3 while still providing secure and controlled access to data sets.
5. Scalability: scales easily and can handle large data sets without compromising performance. This scalability is essential for research institutions that need to handle large amounts of data.
6. Data Sovereignty: You maintain control of your data. You choose where it's hosted. You can move it all to the cloud or maintain a locally synchronized copy. 

How to Get Started with Gladinet

Getting started with Gladinet is easy. Institutions can sign up for a free trial and start using the service immediately. Gladinet offers a range of pricing options, including monthly and annual plans, that are designed to meet the needs of research institutions of all sizes.

Conclusion

Research institutions require large amounts of storage to handle their data sets. Cloud storage can be expensive and challenging to manage, especially for larger institutions. Gladinet offers a solution to these challenges by providing a front end for S3 that offers advanced security features, collaboration tools, granular control, integration with storage services, and scalability. By using Gladinet as a front end for S3, research institutions can provide secure and controlled access to data sets while still leveraging the benefits of virtually unlimited storage.