Hitachi Vantara offers Hitachi Lumada, an Internet of Things management and analytics platform.
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K3s Lightweight Kubernetes
Score9.5 out of 10
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K3s is a lightweight, certified Kubernetes distribution built for IoT & Edge computing, developed by Rancher Labs, which is now supported by SUSE since the 2020 acquisition. K3s is available free and open source under the Apache 2.0 license.
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Pricing
Hitachi Lumada
K3s Lightweight Kubernetes
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Hitachi Lumada
K3s Lightweight Kubernetes
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Features
Hitachi Lumada
K3s Lightweight Kubernetes
Internet of Things
Comparison of Internet of Things features of Hitachi Lumada and K3s Lightweight Kubernetes
Organizations may use sensors like RFID and break beams to automatically monitor components as they travel through the assembly. Real-time data from IoT may help managers and supervisors monitor the performance of their teams. With this level of transparency, bottlenecks can be identified, problems can be pinpointed, and progress can be made more quickly.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
K3s Lightweight Kubernetes is well suited for local development. K3s Lightweight Kubernetes is not well suited when you need backward support. In the case that you want to test an application that is still using deprecated APIs or CRDs which are supported on popular managed Cloud Kubernetes Distributions, because K3s Lightweight Kubernetes is trying to be a lightweight application and dropping early support for APIs/CRDs marked for deprication K3s Lightweight Kubernetes will not be a good solution. If you are trying to test Kubernetes etc, functionality, K3s Lightweight Kubernetes is not a good case since it's using Dqlite or SQLite.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A lot of components are available and able to use what you need. Module library, Advanced analytics. Batch data processing. Variety of ways to integrate. Cost-effective. These are some of the ways Hitachi Lumada ranks above the ones we have used.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We have mostly used kind, minikube, and Docker Desktop Kubernetes for local development. Only kind has lower resource requirements, but K3s Lightweight Kubernetes seems to be even lighter. It is a big benefit to be able to deploy a K3s Lightweight Kubernetes cluster in seconds locally in our workstation, there is no cost, and it makes it easy to redeploy from scratch no matter how many times we want. The removal of deprecated APIs or CRDs also makes it more secure since it reduces unnecessarily exposed attack vectors.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
