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Compare AWS Auto Scaling vs. Unravel Data

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193 views|155 comparisons
Unravel Data Logo
494 views|348 comparisons
Top Review
Find out what your peers are saying about Dynatrace, Datadog, AppDynamics and others in Application Performance Management (APM). Updated: October 2021.
542,029 professionals have used our research since 2012.
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."

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Questions from the Community
Top Answer: The most valuable feature is the ability to select a minimum amount of active servers so that a new server automatically launches if one fails.
Top Answer: The pricing is good. I have not had any customers that have complained about the price.
Top Answer: The only area of improvement is the speed at which servers are launched. When cleaning up to six servers at a time, it can take up to 15 to 20 minutes to launch new servers.
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Ranking
Views
193
Comparisons
155
Reviews
1
Average Words per Review
493
Rating
10.0
Views
494
Comparisons
348
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
AWS Auto-Scaling
Unravel APM
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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.

Unravel APM software is the one tool you’ll ever need to optimize, troubleshoot, and analyze the performance of big data applications (ETL, Data Pipelines, IoT, AI, Business Intelligence, and Machine Learning…) running in a multi-tenant environment.

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Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
Kaiser Permanente, Microsoft, Autodesk, CVS, Deutsche Bank, Sony Interactive Entertainment
Top Industries
VISITORS READING REVIEWS
Computer Software Company28%
Comms Service Provider24%
Financial Services Firm15%
Manufacturing Company7%
VISITORS READING REVIEWS
Computer Software Company28%
Financial Services Firm17%
Insurance Company9%
Comms Service Provider8%
Find out what your peers are saying about Dynatrace, Datadog, AppDynamics and others in Application Performance Management (APM). Updated: October 2021.
542,029 professionals have used our research since 2012.

AWS Auto Scaling is ranked 17th in Application Performance Management (APM) with 1 review while Unravel Data is ranked 52nd in Application Performance Management (APM). AWS Auto Scaling is rated 10.0, while Unravel Data is rated 0.0. The top reviewer of AWS Auto Scaling writes "A well-documented, user-friendly interface with a simple setup for the automatic launching and configuring of servers". On the other hand, AWS Auto Scaling is most compared with Splunk and VMware Tanzu Observability by Wavefront, whereas Unravel Data is most compared with AppDynamics, Datadog, Dynatrace, Splunk and New Relic APM.

See our list of best Application Performance Management (APM) vendors.

We monitor all Application Performance Management (APM) 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.