helm VS volcano

Compare helm vs volcano and see what are their differences.

helm

The Kubernetes Package Manager [Moved to: https://github.com/helm/helm] (by kubernetes)

volcano

A Cloud Native Batch System (Project under CNCF) (by volcano-sh)
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helm volcano
5 2
19,316 2,789
- 1.0%
9.2 9.1
almost 2 years ago 4 days ago
Go Go
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

helm

Posts with mentions or reviews of helm. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-16.

volcano

Posts with mentions or reviews of volcano. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-19.
  • Can we specify nodeSelector inline for a kubectl command
    2 projects | reddit.com/r/kubernetes | 19 Aug 2022
    Also, if you are creating bare pods, this sounds like batch scheduling and you should consider using Jobs instead, to have a pod controller. And then you could also consider the https://volcano.sh/ scheduler if it has a fitting scheduling plugin for your use case.
  • My Journey With Spark On Kubernetes... In Python (1/3)
    4 projects | dev.to | 12 Apr 2021
    For our experiments, we will use Volcano which is a batch scheduler for Kubernetes, well-suited for scheduling Spark applications pods with a better efficiency than the default kube-scheduler. The main reason is that Volcano allows "group scheduling" or "gang scheduling": while the default scheduler of Kubernetes schedules containers one by one, Volcano ensures that a gang of related containers (here, the Spark driver and its executors) can be scheduled at the same time. If for any reason it is not possible to deploy all the containers in a gang, Volcano will not schedule that gang. This article explains in more detail the reasons for using Volcano.

What are some alternatives?

When comparing helm and volcano you can also consider the following projects:

kube-batch - A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

spark-on-k8s-operator - Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

argo - Workflow engine for Kubernetes

snowflake - Snowflake is a network service for generating unique ID numbers at high scale with some simple guarantees.

singularity-cri - The Singularity implementation of the Kubernetes Container Runtime Interface

warewulf - Warewulf is a stateless and diskless container operating system provisioning system for large clusters of bare metal and/or virtual systems.

charts - ⚠️(OBSOLETE) Curated applications for Kubernetes

chart-releaser - Hosting Helm Charts via GitHub Pages and Releases

k8s-platform-lcm - A faster and easier way to manage the lifecycle of applications and tools, running and living around your Kubernetes platform

gophers - Gopher Artwork by Ashley McNamara

cockroach - CockroachDB - the open source, cloud-native distributed SQL database.