Scalable online storage for various types of data
What is object storage?
Our Object Store service is a distributed and highly scalable data storage architecture that manages data as objects, whereas traditional file system storage organizes data in a hierarchy of folders and files, whilst block storage manages data as blocks within sectors and tracks. Object stores have a very flat structure of containers and the objects they contain. The advantage of this is that object storage systems can scale up far-beyond the capabilities of file-based storage systems.
Scalability, durability and availability
Object Store provides an all-round online and highly-available cloud storage system that is characterized by its scalability, durability and availability. It is ideal for storing various types of data that can grow to very high volumes.
Object storage is particularly well suited for:
- Scale-out storage
- Storing large amounts of static data (many files)
- Media streaming – audio/video
- Files with the need for associated meta-data (for example for policy driven data management)
- Backup, archiving & data retention
- A national storage facility for research publication repositories – (figshare, Dataverse)
- Online data storage within an iRODS deployment.
Object Store is based on OpenStack SWIFT that, apart from its own native protocol, also provides the general S3 protocol. The S3 REST API was developed by Amazon for providing access to their cloud storage system. This opens up a wealth of possibilities and lots of tooling is available for this storage system type. Apache Spark and Elastic Search are able to interact with S3 storage and there are also client-side tools such as Cyberduck and NextCloud, which provide graphic user interfaces for data handling and management, or Rclone, which is an rsync-like sync tool for cloud storage systems.
Access with your existing SURFsara account
If you are already using other SURFsara services and have a SURFsara account, you can access the Object Store service using the same account credentials. If you want to use this possibility, please contact our helpdesk (see below).
Archive and back-up
It is also possible to archive your data with our Data Archive service and the Object Store offers a fast network connection directly to this archive. SURFsara does not make any automatic backups of data located in Object Store. Although data is stored multiple times which considerately minimizes the risk of loss, you are personally responsible for making backups of files.
SURFsara can support implementations of customized solutions tailored to local institutions, such as hosting NextCloud which is a web-browser based interface offering a simple and easy to use work environment for research teams working collaboratively with external parties and with large amounts of data.
Support and consultancy
As a user of SURFsara's Object Store you can always approach us for assistance. Our helpdesk can be reached by telephone or e-mail, or you can schedule a personal appointment.
Please send us your questions or problems via firstname.lastname@example.org or by telephone on +31-208001400. The helpdesk is available during office hours (9:00-17:00).
If you are looking for specific advice about how to best deploy our Object Store for your research, please feel free to contact our consultancy service.