Top Rated Converged Cloud Fabric Alternatives
(74)
4.6 out of 5
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PZ
Patricia Z.
Web Designer
Mid-Market(51-1000 emp.)
What do you like best about Converged Cloud Fabric?
Big Switch offers all of the latest networking capabilities (automation, api, vpc/tenant) yet just works as expected, which is becoming an increasingly rare attribute in the fast-changing Infrastructure world. Review collected by and hosted on G2.com.
What do you dislike about Converged Cloud Fabric?
There is not much of a community around Big Switch quite yet for sharing ideas. I am sure this will come as the product/company mature and acquire a larger customer base. Review collected by and hosted on G2.com.
1 out of 2 Total Reviews for Converged Cloud Fabric
4.3 out of 5
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LM
Luis Alberto M.
Arquitecto Empresarial TI
Enterprise(> 1000 emp.)
What do you like best about Converged Cloud Fabric?
Big Cloud Fabric is extremely easy to use and robust in features. Over the past year that we've implemented this solution in our data centers, we've had no negative impact or issues Review collected by and hosted on G2.com.
What do you dislike about Converged Cloud Fabric?
Microsegmentation is a big driver for modern SDN fabrics. I believe the mechanism of implementation for this is still slightly rudimentary. Review collected by and hosted on G2.com.
There are not enough reviews of Converged Cloud Fabric for G2 to provide buying insight. Below are some alternatives with more reviews:
1
HAProxy
4.6
(382)
HAProxy allows customers to take full advantage of HAProxy, a world renowned load balancer, and software application delivery controller, combined with enterprise-class features, services, and premium support.
2
Google Kubernetes Engine (GKE)
4.5
(261)
Google Kubernetes Engine is a managed, production-ready environment for deploying containerized applications at scale.
3
ManageEngine OpManager
4.5
(124)
Try network performance monitoring & data center infrastructure management software from ManageEngine OpManager.
4
F5 NGINX
4.6
(107)
free, open-source, high-performance HTTP server and reverse proxy
5
NetScaler
4.4
(84)
NetScaler is an application delivery and security platform for large enterprises that need high-performance application delivery, integrated security, and end-to-end observability. Because NetScaler abstracts the complexities of networking configuration and works the same in both on-premises and cloud environments, infrastructure and operations teams can move faster to deliver new products and services.
6
VMware NSX
4.4
(77)
NSX enables the creation of entire networks in software and embeds them in the hypervisor layer, abstracted from the underlying physical hardware.
7
Faddom
4.6
(74)
With Faddom you gain granular visibility of your entire IT environment, mapping your application, networks and dependencies in real-time. Uniquely, Faddom works without credentials, firewalls or agents. Our smart solution is completely platform-agnostic and has limitless use-cases from cloud migration to cost optimization.
8
Codefresh
4.6
(70)
Codefresh manages your complete build, test, and deploy pipeline with native support for integration tests.
9
Megaport
4.7
(38)
10
Nvidia Virtual GPU
4.6
(35)
NVIDIA virtual GPU (vGPU) technology uses the power of NVIDIA GPUs and NVIDIA virtual GPU software products to accelerate every virtual workflow—from AI to virtual desktop infrastructure (VDI). By making GPU performance possible for every virtual machine (VM), vGPU technology enables users to work more efficiently and productively.
In a VDI environment powered by NVIDIA virtual GPU, the NVIDIA virtual GPU software is installed at the virtualization layer along with the hypervisor. The NVIDIA virtual GPU software creates virtual GPUs that enable every virtual machine (VM) to share a physical GPU installed on the server or allocate multiple GPUs to a single VM to power the most demanding workloads. The NVIDIA virtualization software includes a driver for every VM. NVIDIA Quadro® Virtual Data Center Workstation (Quadro vDWS) includes, for example, the powerful Quadro driver. Because work that was typically done by the CPU is offloaded to the GPU, the user has a much better experience, and demanding engineering and creative applications can be supported in a virtualized and cloud environment.
