Dmytro KutetskyiSolution Architect | Head of BizDev at Greg Solutions
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"There is an annual subscription. The price of the solution should be cheaper and have better pricing flexibility."
"The solution is free and open source but there is a fee for support."
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Bring Your Data to Kubernetes
Don’t let an outdated data layer be your bottleneck. Run stateful workloads on Kubernetes, save money and move faster. We make leading open source, high performance, and cloud native solutions. Customers receive 24x7 support for the leading open source storage for Kubernetes, OpenEBS, and a subscription to Kubera for improved operations.
Rancher Labs build innovative, open source software that makes it easy to deploy and manage containers in production on any infrastructure. We enable organizations to accelerate all aspects of their software development pipeline, from writing and testing code to running complex microservices-based applications.
Rancher, our flagship container management platform, allows users to easily manage all aspects of running containers in development and production environments, on any infrastructure. With well over four million downloads, Rancher has quickly become the tools of choice for teams serious about running containers in production. This includes large enterprises such as Sony, IBM, Tyco, Align Technologies and more.
MayaData is ranked 6th in Data Storage for Kubernetes while Rancher Labs is ranked 1st in Data Storage for Kubernetes with 4 reviews. MayaData is rated 0.0, while Rancher Labs is rated 7.8. On the other hand, the top reviewer of Rancher Labs writes "Easy to scale with good capabilities, however, it could be easier to use". MayaData is most compared with , whereas Rancher Labs is most compared with VMware Tanzu Build Service, VMware Tanzu Mission Control, OpenShift Container Platform, Nutanix Karbon and HashiCorp Nomad.
See our list of best Data Storage for Kubernetes vendors.
We monitor all Data Storage for Kubernetes reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.