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Elastic Observability vs Nastel AutoPilot [EOL] comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Nov 23, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Elastic Observability
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
29
Ranking in other categories
Application Performance Monitoring (APM) and Observability (12th), IT Infrastructure Monitoring (15th), Log Management (16th), Container Monitoring (5th), Cloud Monitoring Software (11th)
Nastel AutoPilot [EOL]
Average Rating
8.6
Number of Reviews
4
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Mohammed-Abdelalim - PeerSpot reviewer
Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.
Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities
In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.
it_user226614 - PeerSpot reviewer
Global Head of Performance and Service Metrics at a consultancy with 51-200 employees
You can easily scale it for high message rates, but it's primarily a flow-monitoring tool rather than an APM.
Autopilot is a middleware-centric business transaction monitoring tool that includes a Complex Event Processor (CEP) for transaction data. Architecture AutoPilot Probes are lightweight performance measurement and monitoring tools for live applications that are executed at defined points within the…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"For full stack observability, Elastic is the best tool compared with any other tool like New Relic or AppDynamics or Dynatrace."
"Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning over a month from multiple data sources can be completed within seconds."
"The solution has been stable in our usage."
"The very positive features are the cost effectiveness and the range of things that you can implement."
"It has always been a stable solution."
"Machine learning is the most valuable feature of this solution."
"From my experience with several major customers, the most valued feature of Elastic is its log analytics capabilities."
"Good design and easy to use once implemented."
"Very simple to use and is a very useful tool."
"Nastel is a world-class company that has partnership amongst other positive qualities embedded into its cultural fiber."
"You can easily scale it for high message rates."
"Flexible environment"
 

Cons

"Elastic Observability needs to have better standardization, logging, and schema."
"There is room for improvement regarding its APM capabilities."
"When I go to the portal, I do not see many insights on the endpoints or where there could be latencies."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."
"With Elastic, you need to code and program more things compared to Dynatrace."
"Needs to quickly implement support for all variety of servers."
"Quality Assurance testing for new releases need to be more thorough"
"The GUI is quite basic and middleware-centric."
"Documentation"
 

Pricing and Cost Advice

"Elastic Observability's pricing could be better for small-scale users."
"We have been using the open-source version."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"The product’s pricing needs improvement."
"Pricing is one of those situations where the more you use it, the more you pay."
"The product is not that cheap."
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
"We will buy a premium license after POC."
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Top Industries

By visitors reading reviews
Financial Services Firm
13%
Computer Software Company
9%
Comms Service Provider
8%
Outsourcing Company
8%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise4
Large Enterprise16
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for Elastic Observability?
The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...
What needs improvement with Elastic Observability?
After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...
What is your primary use case for Elastic Observability?
My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.
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Overview

 

Sample Customers

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Banamex, Barclays Capital, Bank of Bermuda, California Commerce Bank, Calyon Corporate and Investment Bank, CGEY, Checkfree Corporation, CIBC, CitiCard, Citicorp, New York, Citigroup Inc., CME Group Inc., Credit Agricole Indosuez Luxembourg, Credit Suisse, CRIF, Deutsche Bundesbank, Dresdner Kleinwort Wasserstein, DTCC, FannieMae, Fidelity (FMR), First Citizens Bank & Trust, Fortis Investments, GE Money Americas, GE Money Bank, HP, HP/WestLB Systems, HSBC, HSH Nordbank, IG Index, i-bp Banque, Populaire, Interpay Nederland B.V., IZB - Informatikzentrum Bayern GmbH & Co., JP Morgan, Lehman Brothers Holdings Inc., MGIC (Mortgage Guaranty Insurance Corporation) NYSE, OMGEO, People's Bank (Ct), Peoples United Bank, Phoenix Informatica Bancaria S.p.A., PinkRoccade, Santander Bank, SKOFIN, Sociale Verzekeringsbank, Thomson Financial, UBS, UMB Financial Corporation
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