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AWS Auto Scaling vs Integrate.io Platform comparison

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Amazon Web Services (AWS) Logo

AWS Auto Scaling

Read 18 AWS Auto Scaling reviews
299 views|223 comparisons
90% willing to recommend
Integrate.io Logo

Integrate.io Platform

96 views|83 comparisons
Comparison Buyer's Guide
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Buyer's Guide
Application Performance Monitoring (APM) and Observability
April 2024
Executive Summary

We performed a comparison between AWS Auto Scaling and Integrate.io Platform based on real PeerSpot user reviews.

Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability.
To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: April 2024).
Download the complete report
768,578 professionals have used our research since 2012.
Featured Review
Alex Kabugo
Addresses issues with malfunctioning or unavailable EC2 instances
We deal with applications – specifically, the ones deployed in the production environment of the cloud. So, the aim is to ensure users don't... Read more →
Use Integrate.io Platform?
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
  • "The pricing is good. I have not had any customers that have complained about the price."
  • "AWS Auto Scaling's price is high."
  • "The product has moderate pricing."
  • "The product is expensive."
  • "AWS Auto Scaling is a cheap solution."
  • "AWS Auto Scaling is an expensive solution."
  • "AWS Auto Scaling is a pay-per-use and pay-as-you-use service."

    • More AWS Auto Scaling Pricing and Cost Advice →

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    Questions from the Community
    What do you like most about AWS Auto Scaling?
    Top Answer:The various scaling options available, such as step scaling, are particularly useful.
    Read all 10 answers   →
    What is your experience regarding pricing and costs for AWS Auto Scaling?
    Top Answer:AWS Auto Scaling is a cheap solution.
    Read all 7 answers   →
    What needs improvement with AWS Auto Scaling?
    Top Answer:While I haven't found any significant need for improvement in AWS Auto Scaling, the setup can be a bit complex in some situations.
    Read all 10 answers   →
    Ask a question

    Earn 20 points

    Ranking
    27th
    out of 111 in Application Performance Monitoring (APM) and Observability
    Views
    299
    Comparisons
    223
    Reviews
    9
    Average Words per Review
    297
    Rating
    8.6
    83rd
    out of 100 in Data Integration
    Views
    96
    Comparisons
    83
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    AWS Auto-Scaling
    DRIVEN APM, Xplenty
    Learn More
    Amazon Web Services (AWS)
    Integrate.io
    Overview

    AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. Using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes. The service provides a simple, powerful user interface that lets you build scaling plans for resources including Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas. AWS Auto Scaling makes scaling simple with recommendations that allow you to optimize performance, costs, or balance between them. If you’re already using Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances, you can now combine it with AWS Auto Scaling to scale additional resources for other AWS services. With AWS Auto Scaling, your applications always have the right resources at the right time.

    Get Data Peace of Mind

    Set & forget your alerts and receive notifications for any data problems.


    Focus On Your Data

    Spend time driving business value from your data, not worrying about your data quality and datasets.


    Enjoy Company-Wide Data Credibility

    Nothing damages employees’ trust in your data like upstream data issues & inaccuracies. Instantly know about any data issues so you can resolve them before they become a downstream problem.


    Align Upstream Data Owners

    Many data issues are caused by changes that happen upstream (e.g. in the business applications). Get business owners data alerts to know when to fix their data.

    Sample Customers
    Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
    GAP, Samsung, REA Group, TellApart, Pintrest, Expedia, CapitalOne, Oportun, Hotels.com, HomeAway, CommonwealthBank, D&B, DeerWalk
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Non Tech Company18%
    Retailer9%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Government14%
    Computer Software Company13%
    Manufacturing Company13%
    No Data Available
    Company Size
    REVIEWERS
    Small Business43%
    Midsize Enterprise10%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise4%
    Large Enterprise77%
    No Data Available
    Buyer's Guide
    Application Performance Monitoring (APM) and Observability
    April 2024
    Download Free Report
    Find out what your peers are saying about Datadog, Dynatrace, New Relic and others in Application Performance Monitoring (APM) and Observability. Updated: April 2024.
    DOWNLOAD NOW
    768,578 professionals have used our research since 2012.

    AWS Auto Scaling is ranked 27th in Application Performance Monitoring (APM) and Observability with 18 reviews while Integrate.io Platform is ranked 83rd in Data Integration. AWS Auto Scaling is rated 8.8, while Integrate.io Platform is rated 0.0. The top reviewer of AWS Auto Scaling writes "The product helps reduce costs and avoids interruptions to the customer experience". On the other hand, AWS Auto Scaling is most compared with Splunk Enterprise Security, whereas Integrate.io Platform is most compared with Accedian Skylight.

    We monitor all Application Performance Monitoring (APM) and Observability 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.