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Learn MorePros of ceph
Pros of OpenEBS
Pros of ceph
- Open source4
- Block Storage2
- Obejct Storage1
- Storage Cluster1
- S3 Compatible1
- Object Storage1
Pros of OpenEBS
- Great support on Slack7
- Open source6
- Easy to use6
- Container attached storage5
- In user space5
- Cloud native storage3
- Large community3
- Everything in OpenEBS is a Kubernetes CR3
- CNCF Project2
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What is ceph?
In computing,It is a free-software storage platform, implements object storage on a single distributed computer cluster, and provides interfaces for object-, block- and file-level storage.
What is OpenEBS?
OpenEBS allows you to treat your persistent workload containers, such as DBs on containers, just like other containers. OpenEBS itself is deployed as just another container on your host.
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Jobs that mention ceph and OpenEBS as a desired skillset
What companies use ceph?
What companies use OpenEBS?
What companies use ceph?
What companies use OpenEBS?
See which teams inside your own company are using ceph or OpenEBS.
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What tools integrate with ceph?
What tools integrate with OpenEBS?
What tools integrate with OpenEBS?
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What are some alternatives to ceph and OpenEBS?
Minio
Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License
Swift
Writing code is interactive and fun, the syntax is concise yet expressive, and apps run lightning-fast. Swift is ready for your next iOS and OS X project — or for addition into your current app — because Swift code works side-by-side with Objective-C.
FreeNAS
It is the simplest way to create a centralized and easily accessible place for your data. Use it with ZFS to protect, store, backup, all of your data. It is used everywhere, for the home, small business, and the enterprise.
Portworx
It is the cloud native storage company that enterprises depend on to reduce the cost and complexity of rapidly deploying containerized applications across multiple clouds and on-prem environments.
Hadoop
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.