Monte Carlo vs Splunk Observability Cloud comparison

The compared Monte Carlo and Splunk solutions aren't in the same category. Monte Carlo is ranked #1 in DO , with an average rating of 9.0, and holds a 33.6% mindshare in the category. Splunk is ranked #11 in APM , with an average rating of 8.6, and holds a 1.0% mindshare. Additionally, 100% of Monte Carlo users are willing to recommend the solution, compared to 94% of Splunk users who would recommend it.

Monte Carlo

Read 1 Monte Carlo review

189 Views
160 Comparison Views

100% willing to recommend

Splunk Observability Cloud

Read 50 Splunk Observability Cloud reviews

1,960 Views
1,160 Comparison Views

94% willing to recommend

Monte Carlo

Splunk Observability Cloud

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

Monte Carlo

Average Rating

9.0

Number of Reviews

Ranking in other categories

Data Observability (1st)

Splunk Observability Cloud

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Application Performance Monitoring (APM) and Observability (11th), IT Infrastructure Monitoring (9th), Cloud Monitoring Software (9th), Container Management (8th)

Mindshare comparison

Monte Carlo and Splunk Observability Cloud aren’t in the same category and serve different purposes. Monte Carlo is designed for Data Observability and holds a mindshare of 33.6%, down 43.2% compared to last year.
Splunk Observability Cloud, on the other hand, focuses on Application Performance Monitoring (APM) and Observability, holds 1.0% mindshare, up 0.5% since last year.

Data Observability

Application Performance Monitoring (APM) and Observability

Featured Reviews

Prathik Rokhade

Associate Sr. Manager at Financial Insight Technology, Inc.

Provides centralized data observability features and has an easy-to-use user interface.

The product's initial setup is in a daily improvement stage, deploying new plugins for upstream and downstream resources. It takes 25 minutes to complete. The process involves integrating with third-party services for Single Sign-On (SSO). It requires only one executive for maintenance as it has easy-to-use navigation and user interface.

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Lakshmi Padaga

Java Developer at U.S. Bank

Collaborates performance metrics with log data to pinpoint the exact cause of issues and offers error detection

Splunk APM is a robust tool with many capabilities. There are always areas for potential improvement to enhance its functionality and user experience. For Splunk APM, there could be simplified navigation, like streamlining the user interface to make navigation more intuitive for our users, especially those new to APM, which can enhance usability. We can provide more customization options for dashboards and visualizations to help users tailor the platform to their specific needs. There could be more integration capabilities with a wider range of third-party tools and platforms would also be beneficial. By focusing on these areas, Splunk APM can enhance its value proposition, improve user satisfaction, and better meet the evolving needs of organizations monitoring their application performance.

Read full review

Quotes from Members

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

Pros

"It makes organizing work easier based on its relevance to specific projects and teams."

"The tool's stability is great."

"The ability to create custom dashboards is one of the best features and that's typically why most people deploy Splunk. Users can create dashboards for just about anything."

"It is very easy to monitor multiple cloud environments. It's like a single pane of glass for us. We can use it to monitor our on-prem and both of our cloud environments as opposed to having different tools for each environment. It makes it all come together in one tool."

"It has been beneficial for our IT infrastructure."

"It is a great resource for us because we have so many different data sources and to be able to aggregate that and put it through a concise dashboard or an alert really helps."

"The most valuable features are troubleshooting and optimizing application performance."

"The initial setup was straightforward. We didn't find it to be too complex."

"The feature I find most valuable, is the data integration."

More Splunk Observability Cloud pros

Cons

"For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history."

"The solution's machine learning deployment is hard and should be made user-friendly."

"We currently lack log analysis capabilities in Splunk APM."

"They can get more integration with a few more products. They can also update some of the dashboards that are in there now."

"Splunk APM's performance could be improved - at the moment, it's very slow and takes forever to give me what I want."

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

"The monitoring of workloads when using SignalFx could be improved."

"Primarily, the logs in Splunk APM can be challenging to navigate and comprehend, making it difficult to understand the details within each log. Compared to other tools like LogDNA, which are more intuitive in this aspect, the logs in Splunk APM can require more effort to understand."

"The clustering part of indexes can be more refined."

More Splunk Observability Cloud cons

Pricing and Cost Advice

"The product has moderate pricing."

"Splunk offers a 14-day free trial and after that, we have to pay but the cost is reasonable."

"It appears to be expensive compared to competitors."

"The price of Splunk APM is less than some of its competitors."

"Splunk APM is expensive."

"The pricing is reasonable."

"This is an expensive solution."

"It is expensive."

"The product is a bit expensive considering the competition but the company may negotiate the price."

More Splunk Observability Cloud pricing and cost advice

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845,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

18%

Financial Services Firm

10%

Manufacturing Company

Retailer

Financial Services Firm

17%

Computer Software Company

15%

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Monte Carlo?

It makes organizing work easier based on its relevance to specific projects and teams.

See all answers

What is your experience regarding pricing and costs for Monte Carlo?

The product has moderate pricing.

See all answers

What needs improvement with Monte Carlo?

For anomaly detection, the product provides only the last three weeks of data, while some competitors can analyze a more extended data history. This feature needs improvement. Its price could be a ...

See all answers

What do you like most about SignalFx?

The most valuable feature is dashboard creation.

See all answers

What needs improvement with SignalFx?

There is room for improvement in the alerting system, which is complicated and has less documentation available. We sometimes encountered issues in setting up alerts. The custom detector could be m...

See all answers

What is your primary use case for SignalFx?

The main purpose of using Splunk APM is to optimize our application. We use Splunk APM primarily to understand how the application works, how it uses resources, and its response time in connection ...

See all answers

Comparisons

Datadog vs Monte Carlo

Compared 30% of the time

Grafana vs Monte Carlo

Compared 20% of the time

Acceldata vs Monte Carlo

Compared 11% of the time

Dynatrace vs Monte Carlo

Compared 9% of the time

New Relic vs Monte Carlo

Compared 9% of the time

More Monte Carlo Competitors

Observe vs Splunk Observability Cloud

Compared 22% of the time

Splunk ITSI (IT Service Intelligence) vs Splunk Observability Cloud

Compared 8% of the time

Dynatrace vs Splunk Observability Cloud

Compared 6% of the time

Rancher Labs vs Splunk Observability Cloud

Compared 5% of the time

PRTG Network Monitor vs Splunk Observability Cloud

Compared 3% of the time

More Splunk Observability Cloud Competitors

Product Reports

No data available

Buyer's Guide

Splunk Observability Cloud

March 2025

Download Splunk Observability Cloud product report

Also Known As

No data available

Splunk Infrastructure Monitoring

Overview

Stop wasting time on data fire-drills. Stop trying to hack band-aid solutions. Stop paying for outdated data governance software. With Monte Carlo, data teams are the first to know about and resolve data problems, leading to stronger data teams and insights that deliver true business value.
You invest so much in your data infrastructure – you simply can’t afford to settle for unreliable data. At Monte Carlo, we believe in the power of data, and in a world where you sleep soundly at night knowing you have full trust in your data.

Monte Carlo

Splunk Observability Cloud combines log search, data integration, and dashboards for seamless monitoring, enhancing infrastructure visibility and security. Its cloud integration and scalability support diverse environments, improving operational efficiency.

Splunk Observability Cloud offers comprehensive monitoring tools with user-friendly interfaces, enabling end-to-end infrastructure visibility. Its real-time alerting and predictive capabilities enhance security monitoring, while centralized dashboards provide cross-platform visibility. Users benefit from fast data integration and extensive insights into application performance. Despite its advantages, improvements could be made in integration with other tools, data reliability, scalability, and cost management. Users face challenges in configuration complexity and require better automation and endpoint protection features. Enhancing AI integration, alerts, and adaptation for high-throughput services could further improve usability.

What are the key features of Splunk Observability Cloud?

Log Search: Efficiently search and analyze log data for enhanced insights.
Data Integration: Fast integration across platforms for comprehensive visibility.
Custom Dashboards: Powerful and adaptable dashboards for real-time monitoring.
Cloud Integration: Seamless integration with cloud services for scalable solutions.
Application Performance Monitoring: Advanced tools for improving application performance.

What benefits and ROI should be expected?

Infrastructure Monitoring: Improved visibility and monitoring across infrastructure components.
Operational Efficiency: Enhancements in data analysis lead to efficient operations.
Business Resilience: Supports adaptability and swift responses to changing needs.
Security Management: Enhances threat identification and response through real-time alerts.
Compliance Support: Aids in meeting compliance and auditing requirements effectively.

In industries like finance and healthcare, Splunk Observability Cloud is implemented for application performance monitoring and infrastructure metrics. Its ability to track incidents and analyze machine data benefits network infrastructure, while distributed tracing and log analysis aid in tackling security threats. Organizations often integrate it for compliance and auditing purposes, enhancing visibility into network traffic and optimizing performance.

Splunk

Sample Customers

Information Not Available

Sunrun, Yelp, Onshape, Tapjoy, Symphony Commerce, Chairish, Clever, Grovo, Bazaar Voice, Zenefits, Avalara

We monitor all Data Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.