

Amazon Elastic Container Service (ECS) and Komodor are competing products in the container management space, offering solutions for orchestrating and troubleshooting applications in containers. ECS has the upper hand in scalability and integration, aligning effectively with AWS infrastructure, while data suggests Komodor provides more extensive troubleshooting features for monitoring and maintaining Kubernetes environments.
Features: ECS offers seamless integration with AWS, robust security features, and effective scalability options, ensuring efficient container management. Komodor delivers a comprehensive Kubernetes troubleshooting platform, incorporating alert management and detailed system health insights, which benefits complex environments.
Room for Improvement: ECS may improve by offering more comprehensive Kubernetes support, enhancing detailed monitoring features, and broadening its compatibility beyond AWS environments. Komodor could benefit from enhancing customer support, improving integration with non-Kubernetes environments, and expanding its feature set for greater container orchestration capabilities.
Ease of Deployment and Customer Service: ECS provides quick deployment and benefits from AWS's extensive customer support and vast knowledge base, improving user assistance. Komodor facilitates streamlined deployment with a specialized support structure focused on Kubernetes complexities.
Pricing and ROI: ECS often presents lower setup costs due to AWS’s scaling infrastructure, offering straightforward ROI through efficient resource utilization. Komodor may incur higher upfront costs but delivers significant ROI by reducing downtime with effective troubleshooting.
This saving is achieved since, with EC2, the entire virtual machine must be running regardless of workload, whereas Fargate eliminates this cost.
We saw around ninety percent ROI using Komodor.
AWS partnership provides access to their architects for guidance when needed.
We do not rely heavily on technical support from AWS as we have our own teams managing the infrastructure.
I would rate the customer support from Komodor a ten out of ten.
Amazon Elastic Container Service has significant limitations regarding scalability.
Amazon Elastic Container Service has a scalability rating of ten out of ten.
Scalability becomes an inherent capability in the cloud context, and this service does well in that regard.
Komodor is very highly scalable in terms of infrastructure and in terms of the number of nodes we use.
The stability of Amazon Elastic Container Service is excellent.
Amazon Elastic Container Service is mostly very stable.
Currently, when scaling with Amazon Elastic Container Service, I have to choose between monitoring CPU or memory usage to scale up or scale out; there is no option to monitor both simultaneously.
When it comes to new-age services around AI, particularly in the areas of LLMs and genomics, these services are not fully available in our region's availability domain.
A lower price for Amazon Elastic Container Service would be better, but it is comparable to other offerings in the market, so it is on par in that sense.
There are some features related to the platform that are missing in Komodor, such as Tigera status or CNI pods.
Amazon Elastic Container Service is quite cheap compared to Google, particularly for hosting databases.
Our customers often do a trade-off between requiring services at particular SLA levels and being willing to pay a premium price to us as partners.
Compared with Rancher or any other tools, Komodor is priced cheaply and available at a fair price.
Main benefits that Amazon Elastic Container Service provides include saving maintenance costs in terms of saving time, and since it auto scales, we save on infrastructure costs by running at lower instances when it is not heavily used.
It inherently offers scalability by default, without our IT teams needing to take the extra load to make the services available for our end users.
Amazon Elastic Container Service makes horizontal scaling easy and is especially effective when working under the ECS service.
For instance, when application teams want to deploy their applications, if Rancher is not up or running, the deployments usually fail at the deployment stage. In the case of Komodor, there have been no such cases reported after adopting it.
| Product | Market Share (%) |
|---|---|
| Amazon Elastic Container Service | 1.4% |
| Komodor | 3.6% |
| Other | 95.0% |
| Company Size | Count |
|---|---|
| Small Business | 28 |
| Midsize Enterprise | 7 |
| Large Enterprise | 18 |
| Company Size | Count |
|---|---|
| Small Business | 1 |
| Midsize Enterprise | 4 |
| Large Enterprise | 2 |
Amazon Elastic Container Service (Amazon ECS) is a highly scalable, high-performance container orchestration service that supports Docker containers and allows you to easily run and scale containerized applications on AWS. Amazon ECS eliminates the need for you to install and operate your own container orchestration software, manage and scale a cluster of virtual machines, or schedule containers on those virtual machines.
Komodor is the missing piece in your DevOps toolchain - offering one unified platform from which you can gain a deep understanding of all of your system events and changes. We integrate with all of your tools, monitor changes and alerts and organize information on a clear digestible dashboard and provide you with the right context at the right time.
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