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Nastel AutoPilot [EOL] vs Splunk Observability Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 21, 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

Nastel AutoPilot [EOL]
Average Rating
8.6
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Splunk Observability Cloud
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
74
Ranking in other categories
Application Performance Monitoring (APM) and Observability (8th), Network Monitoring Software (6th), IT Infrastructure Monitoring (7th), Cloud Monitoring Software (6th), Container Management (6th), Digital Experience Monitoring (DEM) (2nd)
 

Featured Reviews

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…
Dhananjay Dileep - PeerSpot reviewer
Senior Software Engineer at a consultancy with 10,001+ employees
Unified monitoring has improved end-to-end visibility and reduced detection time across apps
When we have too many detectors in place for one particular app, such as when I have created 50+ detectors through my account, the entire page becomes a bit loaded when creating the 51st detector, feeling heavy and taking time to load. Additionally, it throws random errors; for example, when we try to save one detector, it might throw some random error which is not even related, with something else being wrong, not that particular error, but the underlying root cause might be different. Sometimes the error is just "some problem occurred," and we are not able to point out what the real cause is. This mainly happens when we have too many detectors or too many alerts in place rather than a standard number. One more thing is in the alert rules; if we have a main general alert, and instead of creating a new detector, we are adding a new rule under one detector, when the number of rules also increases, such as when we have 10 or 15 rules under one generic detector, that again creates the same kind of problem, taking some time to save that particular newly added rule, and it might not save at times, just keeps on spinning. Those are the two drawbacks which I spotted recently; other than that, everything looks perfect.
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
13%
Computer Software Company
10%
Manufacturing Company
10%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise10
Large Enterprise47
 

Questions from the Community

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What do you like most about SignalFx?
The most valuable feature is dashboard creation.
What needs improvement with SignalFx?
Regarding dashboard customization, while Splunk has many dashboard building options, customers sometimes need to create specific dashboards, particularly for applicative metrics such as Java and pr...
What is your primary use case for SignalFx?
The solution involves observability in general, such as Application Performance Monitoring, and generally addresses digital applications, web applications, sites, and mobile applications. I worked ...
 

Also Known As

No data available
Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring
 

Overview

 

Sample Customers

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
Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara
Find out what your peers are saying about Datadog, Dynatrace, Splunk and others in Application Performance Monitoring (APM) and Observability. Updated: January 2026.
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