Nastel AutoPilot [EOL] vs Splunk Observability Cloud comparison

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 95% of Splunk users who would recommend it.

Nastel AutoPilot [EOL]

Read 4 Nastel AutoPilot [EOL] reviews

100% willing to recommend

Splunk Observability Cloud

Read 88 Splunk Observability Cloud reviews

17,350 Views
8,675 Comparison Views

95% 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: June 2026).

Buyer's Guide

Application Performance Monitoring (APM) and Observability

June 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

6.8

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (5th), Network Monitoring Software (6th), IT Infrastructure Monitoring (5th), Cloud Monitoring Software (4th), Container Management (5th), Digital Experience Monitoring (DEM) (2nd)

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

"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."

"Flexible environment"

"You can easily scale it for high message rates."

"My experience with this solution in analyzing machine data is really good."

"Splunk APM provides a holistic view of the application. Unlike other APMs, Splunk's service map is quite effective."

"With the metrics collection, I can proactively find incidents and work on the major issues when they happen and predict these issues."

"Splunk APM has helped us to standardize logging and monitoring procedures."

"The features I appreciate the most about Splunk Observability Cloud are the ServiceNow integration feature, which is very seamless, and that's probably my favorite since ServiceNow is big in the observability industry."

"After moving to Splunk Observability Cloud, it is almost zero downtime."

"The Add data feature lets you gather any type of log and easily analyze it, which is easier than using other solutions like ArcSight or Elasticsearch, and we can use these logs with our data processes to explain our situation."

"In terms of the application performance security, application performance tooling has been a key factor for me using Splunk."

More Splunk Observability Cloud pros

Cons

"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."

"Documentation"

"Technical support is good but could be improved, particularly concerning the time taken for ticket resolution."

"I would rate Splunk technical support at six out of ten. When we have a problem and need to create a case, the response isn't quick."

"The implementation can be more user-friendly."

"In terms of pricing, I have one issue with Splunk Observability Cloud; in a large-scale organization, it does not have features such as cost optimization or budgeting for observability spend."

"There are some predefined metrics.......we may want to create customized metrics."

"Splunk APM should include a better correlation between resources and infrastructure monitoring."

"The pricing would be one area for improvement."

"There is a lot of room for improvement with the automation."

More Splunk Observability Cloud cons

Pricing and Cost Advice

Information not available

"Splunk Infrastructure Monitoring is an expensive solution."

"It appears to be expensive compared to competitors."

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

"It is expensive."

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

"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."

"The solution's pricing is costly."

"I am not in that circle, but we are currently licensing based on our queries. That is working out for us. Previously, it was by volume of data, and now, we can store as much data as we want."

More Splunk Observability Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

12%

Manufacturing Company

Computer Software Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	33
Midsize Enterprise	8
Large Enterprise	55

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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Compared 24% of the time

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Compared 18% of the time

OpenText Real User Monitoring vs Nastel AutoPilot [EOL]

Compared 17% of the time

Broadcom DX Application Performance Management vs Nastel AutoPilot [EOL]

Compared 16% of the time

Automai AppsWatch vs Nastel AutoPilot [EOL]

Compared 15% of the time

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Avantra vs Splunk Observability Cloud

Compared 3% of the time

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Compared 3% of the time

Kentik vs Splunk Observability Cloud

Compared 2% of the time

Grafana vs Splunk Observability Cloud

Compared 2% of the time

VMware Aria Operations for Applications vs Splunk Observability Cloud

Compared 2% of the time

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Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

June 2026

Download Nastel AutoPilot [EOL] product report

Buyer's Guide

Splunk Observability Cloud

June 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

June 2026

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