Amazon EC2 Auto Scaling vs StackStorm comparison

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Amazon Web Services (AWS) Logo
3,148 views|2,743 comparisons
100% willing to recommend
StackStorm Logo
14 views|9 comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon EC2 Auto Scaling and StackStorm based on real PeerSpot user reviews.

Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service.
To learn more, read our detailed Compute Service Report (Updated: April 2024).
767,667 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "Pricing could be a little bit more competitive."
  • "The pricing is not fixed and it is based on usage."
  • "The price of this product could be a little bit lower."
  • "Licensing fees are paid on a yearly basis."
  • "I have not explored the price of the solution extensively, but from what I have seen the price is alright."
  • "When we want to use more services, we need to pay more. It's a monthly subscription, rather than licensed-based. Pricing or fees for Amazon EC2 Auto Scaling could be improved."
  • "The solution pricing varies by service region is mid-range."
  • "Amazon EC2 Auto Scaling uses a pay-as-you-go pricing model."
  • More Amazon EC2 Auto Scaling Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool must provide proper guidelines to troubleshoot connectivity issues. It must also improve AMI creation.
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    Ranking
    2nd
    out of 16 in Compute Service
    Views
    3,148
    Comparisons
    2,743
    Reviews
    31
    Average Words per Review
    324
    Rating
    9.0
    39th
    out of 51 in Workload Automation
    Views
    14
    Comparisons
    9
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    AWS RAM
    Learn More
    Overview

    Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. ... Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand.

    StackStorm is a powerful open-source automation platform that wires together all of your apps, services and workflows. It’s extendable, flexible, and built with love for DevOps and ChatOps.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    Cisco, Netflix, NASA, Cybera
    Top Industries
    REVIEWERS
    Computer Software Company46%
    Financial Services Firm17%
    Comms Service Provider8%
    Media Company4%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Computer Software Company13%
    University8%
    Government7%
    No Data Available
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise13%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business25%
    Midsize Enterprise10%
    Large Enterprise65%
    No Data Available
    Buyer's Guide
    Compute Service
    April 2024
    Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service. Updated: April 2024.
    767,667 professionals have used our research since 2012.

    Amazon EC2 Auto Scaling is ranked 2nd in Compute Service with 36 reviews while StackStorm is ranked 39th in Workload Automation. Amazon EC2 Auto Scaling is rated 8.8, while StackStorm is rated 0.0. The top reviewer of Amazon EC2 Auto Scaling writes "Well-documented setup process and highly stable solution". On the other hand, Amazon EC2 Auto Scaling is most compared with AWS Fargate, AWS Lambda, AWS Batch, Amazon Elastic Inference and Oracle Compute Cloud Service, whereas StackStorm is most compared with Apache NiFi.

    We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.