Nastel AutoPilot [EOL] vs Splunk Observability Cloud comparison

Why PeerSpot?

meshIQ and Splunk are both solutions in the Application Performance Monitoring (APM) and Observability category. Additionally, 100% of meshIQ users are willing to recommend the solution, compared to 96% of Splunk users who would recommend it.

Nastel AutoPilot [EOL]

Read 4 Nastel AutoPilot [EOL] reviews

100% willing to recommend

Splunk Observability Cloud

Read 106 Splunk Observability Cloud reviews

30,340 Views
15,777 Comparison Views

96% willing to recommend

Nastel AutoPilot [EOL]

Splunk Observability Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Sep 21, 2025

Nastel AutoPilot [EOL] and Splunk Observability Cloud compete in monitoring and observability capabilities. Splunk Observability Cloud is often seen as superior due to its extensive features and perceived value for the price.

Features: Nastel AutoPilot [EOL] offers real-time monitoring, root cause analysis capabilities, and strong support for middleware and applications. Splunk Observability Cloud stands out with full-stack monitoring, extensive data visualization, and advanced analytics. Splunk's broader and deeper monitoring capabilities make it more suitable for complex enterprise environments.

Ease of Deployment and Customer Service: Splunk Observability Cloud is known for straightforward deployment and cloud-native architecture, enabling easier integration with modern infrastructures. Nastel AutoPilot [EOL] can be challenging to deploy, often requiring more configuration and maintenance. Splunk's customer service is recognized for responsiveness and effectiveness in dealing with deployment issues, while Nastel AutoPilot relies on more manual support processes.

Pricing and ROI: Nastel AutoPilot [EOL] typically offers a lower upfront cost, appealing to cost-conscious buyers. Splunk Observability Cloud is viewed as offering greater ROI due to comprehensive features and scalability. Initial investment is higher with Splunk, but its ability to drive efficiency and insights often justifies the cost for many organizations, providing compelling overall value.

To learn more, read our detailed Application Performance Monitoring (APM) and Observability Report (Updated: October 2026).

Buyer's Guide

Application Performance Monitoring (APM) and Observability

October 2026

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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

Ranking in other categories

No ranking in other categories

Splunk Observability Cloud

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

106

Ranking in other categories

Application Performance Monitoring (APM) and Observability (5th), Network Monitoring Software (4th), IT Infrastructure Monitoring (3rd), Cloud Monitoring Software (2nd), Container Management (4th), Digital Experience Monitoring (DEM) (3rd)

Featured Reviews

it_user226614

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…

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Purnambica Kolavennu

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.

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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."

"Splunk's dashboards are great."

"Comparing to Cloud, Splunk Cloud, or any other solution, the most valuable feature of Splunk Observability Cloud is that it is entirely based on metrics."

"The feature of Splunk Observability Cloud that I prefer most is the easy deployment on the cloud."

"During this time, Splunk Observability Cloud was incredibly helpful as we drilled down into root cause analysis to assist those application teams in identifying what could have gone wrong—whether it was API calls, network issues, or pods being down."

"The most beneficial aspect of Splunk APM is the ATM, which is the map displaying the inbound and outbound relationships of the microservices, as well as the traffic between these dependencies. This feature provides us with valuable insights and helps us understand the interactions between different microservices."

"The alerts are the most valuable feature."

"The product's deployment phase is good and very easy because it is done with OpenTelemetry for most of the parts."

"The tool's stability is great."

More Splunk Observability Cloud pros

Cons

"Documentation"

"The GUI is quite basic and middleware-centric."

"Quality Assurance testing for new releases need to be more thorough"

"Needs to quickly implement support for all variety of servers."

"They do not have all the features that I expect right now."

"It would be beneficial to have more enhanced features with capabilities to adapt more integrated applications. Improvements in dashboard configuration, customization, and artificial intelligence functionalities are desired."

"I would say that it is quite helpful, but for different kinds of applications, it could be improved because sometimes it might provide a cloud judgment of the root cause analysis."

"I haven't seen any return on investment yet, but I do definitely expect to see ROI soon, once we bring in everything and reduce workload."

"Splunk could be better integrated with configuration manager solutions so we can automatically resolve issues without human interference."

"Log Observer Connect is embedded here, but we are facing some delays in centralized log collection and analysis, which can be further fastened."

"I would like to see an improvement and some innovation in the customer interface, which puts something in your design."

"The learning curve for understanding all features should be improved, and the cost can increase."

More Splunk Observability Cloud cons

Pricing and Cost Advice

Information not available

"The solution's pricing is costly."

"Licensing cost is the biggest argument I get from those divesting from Splunk. There are those within our organization who say we are going to go to other tools since Splunk is too expensive."

"Splunk APM is a very cost-efficient solution."

"The pricing is based on several factors, including the scale of deployment."

"The pricing is reasonable."

"It appears to be expensive compared to competitors."

"It is expensive."

"I would rate the price of Splunk Infrastructure Monitoring as an eight out of ten, with ten being the most expensive."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

11%

Manufacturing Company

Outsourcing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	38
Midsize Enterprise	9
Large Enterprise	70

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...

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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 ...

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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 ...

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Comparisons

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Splunk AppDynamics vs Nastel AutoPilot [EOL]

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OpenText SiteScope vs Nastel AutoPilot [EOL]

Compared 4% of the time

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Compared 3% of the time

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Compared 2% of the time

PRTG Network Monitor vs Splunk Observability Cloud

Compared 2% of the time

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Compared 2% of the time

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

October 2026

Download Nastel AutoPilot [EOL] product report

Buyer's Guide

Splunk Observability Cloud

October 2026

Download Splunk Observability Cloud product report

Also Known As

No data available

Splunk Infrastructure Monitoring, Splunk Real User Monitoring (RUM), Splunk Synthetic Monitoring

Overview

Nastel AutoPilot [EOL] is a comprehensive, end-of-life monitoring solution for businesses seeking enhanced application performance management and middleware automation.

Designed for technically adept professionals, Nastel AutoPilot [EOL] provides robust monitoring and automation capabilities aimed at streamlining middleware operations and boosting application performance. It is utilized for detecting, predicting, and resolving IT issues before they impact business operations, helping enterprises ensure reliability in critical systems.

What are the key features?

Real-Time Monitoring: Continuously observes application behavior to detect anomalies instantly.
Predictive Analytics: Anticipates potential issues, facilitating proactive management.
Automatic Problem Resolution: Automates responses to incidents, reducing manual intervention.
Middleware Support: Comprehensive integration support for middleware systems.

What benefits and ROI should be considered?

Increased Uptime: Minimized disruptions resulting in superior service availability.
Cost Efficiency: Reduced operational costs through automation of routine tasks.
Enhanced Performance: Optimized system performance with fewer bottlenecks.
Time Savings: Streamlined monitoring and analysis, saving valuable employee hours.

In financial services, Nastel AutoPilot [EOL] is leveraged for transaction monitoring to ensure seamless operations. In healthcare, it helps maintain critical application reliability, safeguarding patient data integrity and facilitating compliance. Its deployment varies across industries but consistently aims for IT operational excellence.

meshIQ

Splunk Observability Cloud offers sophisticated log searching, data integration, and customizable dashboards. With rapid deployment and ease of use, this cloud service enhances monitoring capabilities across IT infrastructures for comprehensive end-to-end visibility.

Focused on enhancing performance management and security, Splunk Observability Cloud supports environments through its data visualization and analysis tools. Users appreciate its robust application performance monitoring and troubleshooting insights. However, improvements in integrations, interface customization, scalability, and automation are needed. Users find value in its capabilities for infrastructure and network monitoring, as well as log analytics, albeit cost considerations and better documentation are desired. Enhancements in real-time monitoring and network protection are also noted as areas for development.

What are the key features?

Log Searching: Efficiently search and analyze logs from various sources.
Data Integration: Seamlessly integrate with multiple environments.
Dashboard Customization: Tailor dashboards to specific monitoring needs.
Monitoring Capabilities: Provides comprehensive insights into application performance.
Security Features: Analyze and address security threats across systems.
Visualization Tools: Enhance data analysis and system performance optimization.

Why consider this for ROI?

Comprehensive Visibility: Gain complete insights into IT infrastructure.
Performance Optimization: Improve overall system performance and efficiency.
Rapid Deployment: Quick setup to meet organization demands swiftly.
Enhanced Security: Strengthen security measures through detailed analytics.

In industries, Splunk Observability Cloud is implemented for security management by analyzing logs from detection systems, offering real-time alerts and troubleshooting for cloud-native applications. It is leveraged for machine data analysis, improving infrastructure visibility and supporting network and application performance management efforts.

Splunk

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

Buyer's Guide

Application Performance Monitoring (APM) and Observability

October 2026

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