Scale Computing is an Indianapolis-based IT company, specializing in edge computing, virtualization, hyper-converged solutions, and other IT infrastructure products for midsized organizations. Jeff Ready and Scott Loughmiller founded the company in 2007. Their patented platform, HC3, allows customers to run applications and process data locally without the use of centralized data centers. In February 2021, Scale Computing announced that it would be adding HC3 video surveillance and security solutions to its list of features that are also visible in its competitors. Read on to learn the differences between scale computing vs VMware.
What is Scale Computing?
The Scale Computing Platform provides a unifying, easy-to-manage solution for large-scale deployments in the data center, in the branch office, and at the edge of the network. Its features include virtualization, computing, storage, backup and disaster recovery, and robust fleet management. This technological convergence greatly reduces the total cost of infrastructure ownership by greatly simplifying IT infrastructure, making it easier to build and administer.
In other words, the scale computing software virtualization method enables automated, non-disruptive software and firmware updates, as well as seamless, scalable infrastructure. Hence, customers prefer a scalable computing platform because it simplifies their IT infrastructure, saving them time and money that can be better put to use developing their apps and processes.
Scale Computing: Features
According to a few distributors, key features and benefits of scale computing include:
- Installs in under an hour
- Create VMs in minutes
- Built-in Browser-based Management Software-defined mixed storage with auto-tiering
- Fully integrated cluster-wide resource usage and alerts
- Single-vendor support, no integration tools
- Integrated appliances
- Scale-Out Design: Mix and match new nodes.
- Incremental resources boost work performance.
- Easy growth without downtime
- No extra licenses are needed.
- Start small and grow with your business.
Hc3 Scale Computing
The HC3 scale computing system is delivered as an appliance-based hyper-converged infrastructure, combined with all of the components required to run virtual machines and scale out as required. Like servers, storage, virtualization, backup, and emergency recovery are all in one appliance.
Additionally, with HC3-scale computing, IT management is simplified with the help of reduced procedures and automation, beginning with implementation and continuing all the way through the lifespan with self-healing, simple management, and reduced infrastructure costs.
The HC3 scale computing platform is made for medium-sized companies and organizations with large networks of branch offices or remote offices. Hence, customers choose HC3 to simplify and lower the cost of their IT infrastructure, so IT managers can focus on improving apps and procedures.
Scale Computing HC3: Features
The HC3 hardware platform has a long feature list to boast about.
#1. HyperCore
is a scale-native operating system (OS) that includes a KVM-based hypervisor and SCRIBE, a unique Computing block-access, direct-attached storage system.
#2. Heat
This means that HyperCore Enhances Automated Tiering. This is a way to prioritize data blocks in a Scale Server between HDDs and SSDs by using an I/O heat map to track the workload for every virtual disc.
#3. The Web Interface
for HC3 virtualization platforms lets users control their hardware and software resources and watch per-VM and cluster-wide data from a single place.
#4. HC3 Scale-Out
lets users add new nodes to their HC3 virtualization platforms without any downtime, since the Scale Server will quickly pull in the new node’s resources within minutes of its addition.
#5. HC3 Self-Healing
claims that intelligent automation will protect against node or drive failures within an HC3-based infrastructure, distribute data among available components, and pool replaceable ones.
#6. HC3 High Availability
This makes sure that, if a node breaks, all of the virtual machines (VMs) running on that node will automatically move to other cluster nodes within minutes.
#7. HC3 Live VM Migration
It allows VMs to be moved across the nodes of a Scale Server without any downtime, even during the process of putting out HC3 HyperCore OS updates.
Additionally, scale computing offers a variety of other features, all of which have to do with growth, high availability, and disaster resistance. However, different HC3 licenses offer different features and perks, which may be too expensive for ROBO and Edge locations.
Scale Computing HC3: Benefits
Here we will highlight how those simplifications benefit HC3 users.
#1. Initial Deployment
The deployment of HC3 is made to be as simple and quick as possible so that users can go from unboxing to establishing virtual machines (VMs) as soon as possible, in keeping with its goal of being a complete virtualization infrastructure solution. In most cases, all that’s required to get an appliance up and running is to give it an IP address, plug in its licensing key, and open a web browser.
#2. Monitoring and Management
When it comes to managing servers, virtualization, storage, and data security, HC3 provides a unified interface. Storage management is typically handled in a separate UI from virtualization management in HCI deployments that employ external hypervisors.
#3. State and Self -Healing Machines
HC3’s active state machines monitor all home devices and can rectify or warn the user of any difficulties. Additionally, the HC3 architecture uses the company’s whole computing stack, from storage to the hypervisor, to monitor and independently manage all system components.
#4. Updates to the System
One of the most difficult and time-consuming IT tasks is updating systems’ firmware and software. This means, they often necessitate putting essential workloads offline and giving IT workers extended weekends. Thus, updating the system is fully automated in HC3, and it can be done on a cluster without disrupting any ongoing operations.
#5. Scale: Refresh and Outline
In spite of the new appliance’s unique CPU, RAM, and storage configuration, adding it to the cluster is as easy as the initial deployment. To be compatible with the rest of the cluster, new appliances in many other HCI solutions must have an exact duplicate of the original nodes’ configuration. Because of this, adding more of a certain resource is not as flexible as it could be.
Scale Computing Competitors
The scale computing platform is not the only option for Hyperconverged Infrastructure (HC3) Solutions. Hence, find out what your other options are and what else is available. Many people are looking for software options for their Hyperconverged Infrastructure (HC3) that save time and work well, as well as provide data security, independence from appliances, and a private cloud. When looking for a Scale Computing Platform competitor, it’s important to choose a solution that meets your goals in terms of reliability and ease of use.
Scale Computing Competitors: Examples
We have compiled a list of the goods that customers thought were the best overall alternatives and competitors to the Scale Computing Platform. They are as follows:
#1. Azure Virtual Machines
Azure Virtual Machines, which is one of the main competitors in scale computing, lets you virtualize a wide range of computing options. In addition to that, it is compatible with Windows Server, Linux, SQL Server, Oracle, IBM, and SAP.
#2. Google Compute Engine
You can use Compute Engine to set up and manage massive computations on Google Cloud-hosted virtual machines. Use their pre-configured images to get up and running quickly, or build custom virtual machines with the precise number of virtual CPUs and memory your application needs.
#3. Nutanix Cloud Infrastructure
Another competitor to scale computing is Cloud Infrastructure (NCI), which combines software-defined storage with built-in virtualization to create a complete hyperconverged infrastructure system that can run any application at any scale.
#4. StarWind Virtual SAN
Through duplicating internal hard drives and flash between hypervisor servers, StarWind Virtual SAN removes shared storage. Most effective scale computing competitor. Also, virtualization minimizes capital and operational costs by using hardware resources for the same purpose.
#5. Azure virtual machine scale
Azure’s virtual machine scale set allows for the automated expansion or contraction of the number of VM instances that are used to operate your application. Also, the management cost needed to monitor and improve the performance of your application is reduced as a result of this automated and elastic functionality.
#6. VMware vSAN
With the VMware ESXi hypervisor, VMware can provision and manage storage based on policies, regardless of hardware. Because it is straightforward to use, integrates with vSphere, and works on many clouds, this choice can help your business develop. The industry-leading VMware vSAN offers outstanding performance with low CPU and memory usage. Because the service provider can combine all storage systems, however, the offering is less useful for enterprises with a single storage platform.
#7. VxRail
VMware virtual SAN software powers VxRail in hyper-converged mode. Designed and built with VMware to improve VMware. Software-defined VxRail simplifies computation, storage, virtualization, and control. This ensures your organization’s performance, dependability, and flexibility across mission-critical and next-generation workloads and apps. With scale computing competitor VxRail, you’re safe.
Scale Computing vs VMware
Check out this side-by-side comparison of Scale Computing Platform vs VMware, which is based on user reviews of their preferences. With 60 reviews, Scale Computing Platform has a rating of 4.7 stars out of 5. On the other hand, 268 reviews give VMware vSphere 4.6 out of 5 stars. Note that each product’s score is based on real-time data from confirmed user reviews to help you decide which of these two options is best for your business needs.
In addition, reviewers found that the Scale Computing Platform was easy to use, set up, and administer. In general, the reviewers also liked doing business with Scale Computing Platform. because,
- The Scale Computing Platform and VMware vSphere both meet the needs of users at a similar rate.
- Reviewers agreed that the Scale Computing Platform was the best choice when it came to the level of ongoing product support.
- A lot of reviewers liked the way Scale Computing Platform was going in for feature updates and roadmaps more than VMware.
Scale Computing vs VMware: Examples of Reviews and Differences
Some examples of what they had to say are as follows:
#1. Cost
‘The price of VMware is a serious drawback. The program can be rather pricey, especially for individuals or small organizations with tight budgets. Perpetual licenses and subscription models are only two of the other licensing options that VMware offers, which can raise costs even further. The infrastructure needed for VMware must also be deployed and maintained, which can raise total costs. whereas, scale computing is less expensive, saving you thousands with compromise.’
#2. Complexity
VMware’s complexity is another drawback. Virtualized environments are challenging to set up and operate, especially for non-technical people. VMware requires networking, storage, and virtualization knowledge. Also, it often needs IT experts to fix VMware issues. The most useful characteristic of Scale Computing HC3 is that if a device fails, the service keeps running. The customers don’t waste two or three days on delays. Additionally, recovery software saves time.”
#3. User Friendliness
‘VMware lacks on the side of user-friendliness. To use VMware, you must have some sort of technical knowledge. Therefore, you need to spend time learning about this software. However, there are hundreds of online tutorials on how to use VMware. But scale computing “It is user-friendly, and its performance is good.”( Scale Computing vs VMware ).
#4. Vendor Lock-In
‘Using VMware might result in vendor lock-in, making it difficult to move to another virtualization platform after your virtual infrastructure has been established on VMware. This may reduce adaptability and increase reliance on the VMware ecosystem. It’s crucial to thoroughly assess the potential drawbacks and long-term effects of vendor lock-in. But scale computing allows to move virtual machines from one physical host to another, which greatly reduces the downtime required for maintenance.’
#5. Licensing Restrictions
‘VMware’s licensing strategy might limit the adaptability and scalability of your virtual environment. Some features or functions can cost more to use or require additional licenses. This might make it difficult to expand or change your virtualized infrastructure without spending more money. The most valuable features are the appliance-type feel and that you don’t need additional licenses as everything is built-in.”( Scale Computing vs VMware ).
Is Scale Computing a Hypervisor?
Yes, it is a hardware platform that unites virtualization, storage, backup, servers, and a hypervisor in a single solution.
Where is Scale Computing Located?
Scale Computing is located in Indianapolis, Indiana, in the United States.
Who is the CEO of Scale Computing?
Jeff is the CEO and co-founder of Scale Computing.
What is The Revenue of Scale Computing?
Scale Computing’s revenue is $29.4 Million
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