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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
6.8
Number of Reviews
89
Ranking in other categories
Application Performance Monitoring (APM) and Observability (5th), Network Monitoring Software (7th), IT Infrastructure Monitoring (4th), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (3rd)
 

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…
PK
Project Manager at AGRICULTURE SKILL COUNCIL OF INDIA (ASCI)
Unified observability has improved real-time governance and now drives data-led decisions
Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened. We are collecting all the data metrics and decision-making insights, but all these data-driven decisions coming from different applications are not connected somewhere. A consolidated form or correlation of these insights is not happening between each other due to which we feel we are missing something significant. Some generalized feedback includes that predictive alerts or alarms which can be integrated with AI-driven alarms and alerting features should be established so that there is AI-driven intelligence and anomaly detection happening with a complete systematic process in service delivery. Application dependencies are huge, and business and operational dashboards should be improved. Right now there are very interactive custom dashboards, and every now and then, the personalization of enhancements keeps happening. KPI monitoring, executive reporting, and analytics have definitely been introduced to a great extent. There are few things in cloud-native monitoring, such as integration with AWS and Azure, where we sometimes do face lags. Those things can definitely be improved upon. I have used Datadog and Dynatrace before using Splunk Observability Cloud. Datadog was definitely recommended by most of our peers because of its very strong comprehensive observability and very strong and unique dashboard systems. Dynatrace was also very good because they have offered a lot of AI-driven analysis methods and processes, which was helping our organization a lot. Since our organization has a very strong IT ecosystem for agriculture, very different kinds of customized things are required.

Quotes from Members

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

Pros

"Nastel is a world-class company that has partnership amongst other positive qualities embedded into its cultural fiber."
"Flexible environment"
"Very simple to use and is a very useful tool."
"You can easily scale it for high message rates."
"My experience with this solution in analyzing machine data is really good."
"The most valuable thing that we have seen within our group is the ability to ingest all this raw data and have it organized in a certain way so that different groups can get effective alerting from this massive amount of raw data that is out there."
"The most valuable feature is log reporting."
"Detectors are a powerful feature."
"The solution is stable and reliable."
"Initially, before Splunk, we had a long time to resolve issues. Now, with Splunk Observability Cloud, we will be able to solve them quickly and know exactly where the issue is."
"The solution's most valuable aspect is its ability to get information about all of the security measurements in my environment."
"Splunk Infrastructure Monitoring provided our customers with visibility into their overall infrastructure."
 

Cons

"Quality Assurance testing for new releases need to be more thorough"
"Needs to quickly implement support for all variety of servers."
"The GUI is quite basic and middleware-centric."
"Documentation"
"The implementation can be more user-friendly."
"The learning curve for understanding all features should be improved, and the cost can increase."
"Price is always one of the factors; it's a little costlier when compared."
"There is not a lot of support for the tool's on-premises version, especially since everything is on the cloud."
"The initial setup of Splunk Real User Monitoring (RUM) was easy. The solution is deployed on-premises."
"There are some predefined metrics.......we may want to create customized metrics."
"The UI of Splunk Observability Cloud is one of the major issues; it's old and has been there for more than 10 years, acquired by other applications from other companies. It's time to reinvent how the UI is going to work with the AI modules and integrations, making it softer and cleaner."
"There is a lot of room for improvement with the automation."
 

Pricing and Cost Advice

Information not available
"This is an expensive solution."
"The solution's pricing is costly."
"The solution's pricing is competitive. I rate the solution's pricing a seven out of ten. The price of the solution could be cheaper."
"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."
"Splunk's infrastructure monitoring costs can be high because our billing is based on data volume measured in terabytes, rather than the number of devices being monitored."
"The product is a bit expensive considering the competition but the company may negotiate the price."
"The pricing is based on several factors, including the scale of deployment."
"Splunk has been fairly expensive, but it has been predictable."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
11%
Manufacturing Company
8%
Construction Company
8%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business34
Midsize Enterprise9
Large Enterprise56
 

Questions from the Community

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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 ...
What advice do you have for others considering SignalFx?
We're a customer and end-user. Currently, in France, we cannot use the artificial intelligence option. While this option is enabled for the United States and many countries, it's not yet available ...
 

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: August 2026.
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