Firecracker vs. Scale Computing Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Firecracker
Score 4.0 out of 10
N/A
Firecracker is an open source virtualization technology that is purpose-built for creating and managing secure, multi-tenant container and function-based services. Firecracker enables users to deploy workloads in lightweight virtual machines, called microVMs that may provide security and workload isolation over traditional VMs, while enabling the speed and resource efficiency of containers. Firecracker was developed at Amazon Web Services with the goal of improving services like AWS Lambda…N/A
Scale Computing Platform
Score 9.1 out of 10
Mid-Size Companies (51-1,000 employees)
Scale Computing offers edge computing, virtualization, and hyperconverged solutions for customers around the globe. Scale Computing HyperCore software promises to eliminate traditional virtualization software, disaster recovery software, servers, and shared storage, replacing these with a fully integrated, highly available system for running applications. The vendor says that, using patented HyperCore™ technology, the SC//HyperCore self-healing platform automatically identifies, mitigates, and…
$3,300
per node
Pricing
FirecrackerScale Computing Platform
Editions & Modules
No answers on this topic
HE151
$3,300
per node
HE501
$6,800
per node
HC1300
$11,900
per node
HC3350F
$13,400
per node
HC5450D
$26,500
per node
Offerings
Pricing Offerings
FirecrackerScale Computing Platform
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeOptional
Additional DetailsPricing shown in U.S. Dollar. Pricing for other regions available on request.
More Pricing Information
Community Pulse
FirecrackerScale Computing Platform
Top Pros
Top Cons
Features
FirecrackerScale Computing Platform
Server Virtualization
Comparison of Server Virtualization features of Product A and Product B
Firecracker
6.4
1 Ratings
26% below category average
Scale Computing Platform
-
Ratings
Virtual machine automated provisioning6.01 Ratings00 Ratings
Management console8.01 Ratings00 Ratings
Live virtual machine backup6.01 Ratings00 Ratings
Live virtual machine migration7.01 Ratings00 Ratings
Hypervisor-level security5.01 Ratings00 Ratings
Best Alternatives
FirecrackerScale Computing Platform
Small Businesses
Proxmox VE
Proxmox VE
Score 9.3 out of 10
StarWind HCA
StarWind HCA
Score 9.6 out of 10
Medium-sized Companies
VMware vSOM (discontinued)
VMware vSOM (discontinued)
Score 10.0 out of 10
StarWind HCA
StarWind HCA
Score 9.6 out of 10
Enterprises
VMware vSOM (discontinued)
VMware vSOM (discontinued)
Score 10.0 out of 10
Nutanix Cloud Infrastructure
Nutanix Cloud Infrastructure
Score 9.0 out of 10
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User Ratings
FirecrackerScale Computing Platform
Likelihood to Recommend
4.0
(1 ratings)
9.1
(233 ratings)
Likelihood to Renew
-
(0 ratings)
9.4
(22 ratings)
Usability
-
(0 ratings)
8.7
(40 ratings)
Availability
-
(0 ratings)
9.1
(1 ratings)
Performance
-
(0 ratings)
9.1
(1 ratings)
Support Rating
-
(0 ratings)
9.0
(233 ratings)
In-Person Training
-
(0 ratings)
1.0
(1 ratings)
Online Training
-
(0 ratings)
9.1
(1 ratings)
Implementation Rating
-
(0 ratings)
9.1
(2 ratings)
Configurability
-
(0 ratings)
9.1
(1 ratings)
Product Scalability
-
(0 ratings)
9.1
(1 ratings)
Vendor post-sale
-
(0 ratings)
9.1
(1 ratings)
Vendor pre-sale
-
(0 ratings)
9.1
(1 ratings)
User Testimonials
FirecrackerScale Computing Platform
Likelihood to Recommend
Open Source
While deploying workloads in lightweight microVMs presents a couple of perks, Firecracker may not be the best software to handle this. Startup times are slow and scalability is quite limited because of the jailer and virtualization barriers. We have had security breaches on isolated EC2 instances while using Firecracker. It however has a silver lining by improving how serverless functions in container ecosystems are run with their VMMs.
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Scale Computing
I would recommend it to anyone who has three or more servers. We just received another quote as I am about to deploy Scale at City Hall as well. This will replace my 8-year-old VMware cluster that hosts 20 servers.
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Pros
Open Source
  • It makes it easy to secure virtual machines as they are segmented into microvms with a minimal attack surface area
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Scale Computing
  • Snapshots are lean and fast, so restore time is simply amazing. When you don't have time to wait after a crypto attack to restore, I have found nothing faster!
  • Clients can never fully know their growth for years to come, and sometimes it is only a year after the original install. This is no problem we can build on to the system like Lego blocks. Just simply adding a node or two and there is no downtime!
  • There are many functions that can be done while servers are running that help to maintain the most uptime, as an example disk size on the primary disk can be expanded without shutting down the server.
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Cons
Open Source
  • Excludes devices unnecessarily
  • Has a slow startup time the basis being to improve security which is quite irrelevant.
  • It has limited functionalities on monitoring VMs despite being an open source.
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Scale Computing
  • It exposes no backup API. You have to treat VMs as physical machines, with all the drawbacks. This is a huge problem, since the official partner Acronis can't deliver. If you ever worked with Veeam you want it back very very badly.
  • Assigned RAM is used RAM. The hypervisor can't share memory or only allocate what is used etc. It's wasted RAM most of the time.
  • No logging and auditing. (There is, but not visible to the customer).
  • The GUI is quite bad. It looks like done by a designer instead of an IT expert. But it's improving constantly.
  • The company relies heavily on KVM, but seems to have no developer in the open source community. This leads to answers like "we can't do anything about QEMU drivers". Yes, you can. Have delevopers working on it.
  • You can't do basic things like list all of your VMs and see how much RAM/disk, etc. they are using (e.g. in a list view).
  • No rules on which VMs start on which nodes, which VMs to prioritize, etc.
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Likelihood to Renew
Open Source
No answers on this topic
Scale Computing
Since I have had no issues with downtime; easier management of my cluster and the ability to lower the number of devices in my Infrastructure, I will gladly renew my support contract with Scale Computing HC3 and upgrade my equipment with them when it comes time for it.
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Usability
Open Source
No answers on this topic
Scale Computing
Everything you need to do is point-and-click easy. If you are the kind of admin who wants to edit every config file and endlessly customize your environment, then Scale may not be for you. On the other hand, if you just want it to work really well, and do what they told you it will do, then Scale is the ideal system.
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Reliability and Availability
Open Source
No answers on this topic
Scale Computing
Never had an outage or an error. Once a hard drive failed, but Scale kept on working flawlessly without interruption.
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Performance
Open Source
No answers on this topic
Scale Computing
Performance has been just as outstanding as reliability. I have never experienced delays in any aspect of usage.
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Support Rating
Open Source
No answers on this topic
Scale Computing
The support team deserves major props for how cordial and professional they were with our implementation. We were assigned a project manager and engineer. Everything was scheduled with our kick-off call, and our engineer got us up and running in no time.
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In-Person Training
Open Source
No answers on this topic
Scale Computing
I did not do in-person training.
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Online Training
Open Source
No answers on this topic
Scale Computing
Because Scale is so simple, the training is just as quick and easy.
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Implementation Rating
Open Source
No answers on this topic
Scale Computing
The implementation was very easy. We had Scale support on standby and they were ready and eager to help if needed. The process went so fast the employees in the organization did not even know it was done.
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Alternatives Considered
Open Source
No answers on this topic
Scale Computing
At the end of the day, and in the environment we are in, Scale just fits the bill, both price-wise and functionality-wise. Upgrading our VM environment was always a week-long process, now, it is a twenty-minute process, implementing, converting VMs, and rolling everything over to Scale was completed in less than a week's time, and that included training.
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Scalability
Open Source
No answers on this topic
Scale Computing
HC3 is one of the best products I have purchased for our district. It is unbelievably reliable to the point that they shoot themselves in the foot on support contracts.
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Return on Investment
Open Source
  • Low memory overhead on each microVM
  • We can run workloads from different customers on the same machine.
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Scale Computing
  • 0% downtime or loss of revenue due to downtime.
  • The simplicity of testing backups in a live environment in the event of a technical catastrophe.
  • Ease of mind and a lot less stress worrying about a raid system within a standalone server dying in the middle of the night.
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ScreenShots

Scale Computing Platform Screenshots

Screenshot of Scale Computing Fleet Management Dashboard - 
At-a-glance summary of the health of the fleet upon login.Screenshot of Cluster Details -
Details of a particular cluster, including health, fleet manager connectivity, nodes, and VMsScreenshot of Scale Computing Fleet Manager -
Manages an organization’s fleet of Clusters.Screenshot of Hypercore UI -
Simple Web Interface for Local Management of the Cluster and its Workloads