CA App Synthetic Monitor vs Elastic Observability comparison

Broadcom and Elastic are both solutions in the Application Performance Monitoring (APM) and Observability category. Broadcom is ranked #73, while Elastic is ranked #11 with an average rating of 9.0. Broadcom holds a 0.5% mindshare in APM, compared to Elastic’s 1.7% mindshare. Additionally, 66% of Broadcom users are willing to recommend the solution, compared to 88% of Elastic users who would recommend it.

CA App Synthetic Monitor

Read 3 CA App Synthetic Monitor reviews

1,518 Views
1,503 Comparison Views

66% willing to recommend

Elastic Observability

Read 29 Elastic Observability reviews

11,402 Views
7,525 Comparison Views

88% willing to recommend

CA App Synthetic Monitor

Elastic Observability

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 24, 2024

CA App Synthetic Monitor and Elastic Observability compete in the monitoring solutions category. CA App Synthetic Monitor seems to have the upper hand in terms of customer service and ease of deployment, while Elastic Observability is noted for its extensive features.

Features: CA App Synthetic Monitor offers comprehensive synthetic monitoring, user-friendly deployment, and reliable monitoring accuracy. Elastic Observability provides extensive feature sets with powerful data analysis, integration with Elastic tools, and robust monitoring options.

Room for Improvement: CA App Synthetic Monitor could enhance real-time data analytics, expand its integrations, and improve user interface. Elastic Observability could simplify its setup process, make its interface more intuitive, and enhance customer support services.

Ease of Deployment and Customer Service: CA App Synthetic Monitor is praised for easy setup and responsive customer service. Elastic Observability is rich in features but more complicated to deploy and has mixed reviews about its customer support.

Pricing and ROI: CA App Synthetic Monitor offers competitive pricing with good ROI. Elastic Observability is more expensive but worth the investment for its feature set according to some users. However, its higher pricing and complex setup may impact perceived value compared to CA.

To learn more, read our detailed CA App Synthetic Monitor vs. Elastic Observability Report (Updated: August 2026).

Buyer's Guide

CA App Synthetic Monitor vs. Elastic Observability

August 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

CA App Synthetic Monitor

Ranking in Application Performance Monitoring (APM) and Observability

73rd

Average Rating

7.0

Reviews Sentiment

5.9

Number of Reviews

Ranking in other categories

No ranking in other categories

Elastic Observability

Ranking in Application Performance Monitoring (APM) and Observability

11th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

IT Infrastructure Monitoring (13th), Log Management (16th), Container Monitoring (5th), Cloud Monitoring Software (11th)

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of CA App Synthetic Monitor is 0.5%, up from 0.1% compared to the previous year. The mindshare of Elastic Observability is 1.7%, down from 4.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Application Performance Monitoring (APM) and Observability Mindshare Distribution
Product	Mindshare (%)
Elastic Observability	1.7%
CA App Synthetic Monitor	0.5%
Other	97.8%

Application Performance Monitoring (APM) and Observability

Featured Reviews

reviewer2286675

System Administrator at a tech services company with 11-50 employees

A reliable solution for SSL offloading and to encrypt outside traffic

If you are responsible for monitoring the logs in F5, it isn't very easy. The format is complicated compared to different vendors. For example, Fortinet and Cisco have feasible formats for sending and fetching logs. Suppose I'm monitoring the logs and everything, and when I am retrieving logs from F5, I want to know whether it is regular traffic or any abnormality is happening. The logs itself is not user-friendly. It may not give you a clear way of what's happening. You have to go through different websites and work on it. You have to waste so much time on it.

Read full review

Mohammed-Abdelalim

Assistant Vice President at QualityKiosk Technologies Pvt. Ltd.

Has provided powerful customization for unique monitoring needs but needs more out-of-the-box capabilities

In my opinion, the best features of Elastic Observability are their flexibility to integrate with other existing systems and the ability to build a unified monitoring tool that can integrate with existing ones and end-to-end user journeys which require a lot of customizations. The greatest feature in Elastic is the ability to customize. This is similar to my comments about customizable dashboards in Elastic because it's visible to the analyst. However, it's very great. Customizing these dashboards can meet the customer's specific use cases and specific stories that they have in their environment, their special environment that doesn't look like other environments. The dashboarding in Elastic is highly customizable to the level of logos. If the customer wants his company logo in the dashboard, it can be done.

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

"From our experience, it really helps managers in measuring application SLAs and viewing historical performance data."

"Each had strengths in one area or another, but CA covered the majority of our needs end-to-end."

"For full stack observability, Elastic is the best tool compared with any other tool like New Relic or AppDynamics or Dynatrace."

"It's easy to deploy, and it's very flexible."

"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."

"The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes."

"It is very stable, and I would rate it ten out of ten based on my interaction with it."

"I think Elastic Observability is already in very good shape."

"The product has connectors to many services."

"Good design and easy to use once implemented."

More Elastic Observability pros

Cons

"Pricing makes little sense. We had examples where it would be cheaper to have two basic accounts than one intermediate."

"The RBMS component is limited as you can only record using Internet Explorer."

"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."

"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."

"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."

"Elastic Observability is an excellent product for monitoring and visibility, but it lacks predictive analytics. Most solutions are aligned with the AIOps requirements, but this piece is missing in Elastic and should be included."

"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."

"I would have preferred built-in tools to manage the indexes on deployment for better visual representation, as the initial feedback regarding system performance and data storage was fairly primitive and lacking."

"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."

"The interface could be improved."

More Elastic Observability cons

Pricing and Cost Advice

Information not available

"Elastic Observability's pricing could be better for small-scale users."

"Pricing is one of those situations where the more you use it, the more you pay."

"There are two types: cloud and SaaS. They charge based on data ingestion, ingest rate, hard retention, and warm retention. I believe it costs around $25,000 annually to ingest 30GB of data daily. That is the SaaS version. There is also a self-managed license where the customer manages their own infrastructure on-prem. In such cases, there are three license tiers that respectively cost $5,000 annually per node, $7,000 per node, and $12,500 per node."

"The price of Elastic Observability is expensive."

"The product’s pricing needs improvement."

"Since we are a huge company, Elastic Observability is an affordable solution for us."

"We will buy a premium license after POC."

"So far, there are just the standard licensing fees. Several of the components are embedded in the license or are even open source. They're even free depending on what you use, which makes it even more appealing to someone that is discussing pricing of the solution."

More Elastic Observability pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

14%

Computer Software Company

10%

Manufacturing Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	16

Questions from the Community

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What is your experience regarding pricing and costs for Elastic Observability?

The problem is their licensing model, which is a bit confusing. Many customers struggle to understand their total cost of ownership because Elastic licensing is not dependent on easy, quantifiable ...

See all answers

What needs improvement with Elastic Observability?

After careful consideration about areas for improvement in Elastic Observability, aspects such as pricing, customization, implementation, and scalability could be improved. As a user of the system,...

See all answers

What is your primary use case for Elastic Observability?

My use case for Elastic Observability is observability, as we upload our customers' data, including logs, and when there is an issue, we can analyze what went wrong.

See all answers

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Compared 7% of the time

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Compared 5% of the time

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Compared 4% of the time

Splunk AppDynamics vs Elastic Observability

Compared 4% of the time

New Relic vs Elastic Observability

Compared 4% of the time

Datadog vs Elastic Observability

Compared 3% of the time

More Elastic Observability Competitors

Product Reports

Buyer's Guide

Application Performance Monitoring (APM) and Observability

August 2026

Download CA App Synthetic Monitor product report

Buyer's Guide

Elastic Observability

August 2026

Download Elastic Observability product report

Also Known As

CA ASM

No data available

Overview

CA App Synthetic Monitor provides proactive monitoring of web applications and services to ensure performance and availability. It allows businesses to identify and resolve problems before they impact users.

By simulating user interactions and analyzing application performance, CA App Synthetic Monitor enables businesses to maintain optimal service levels. This cloud-based solution offers a comprehensive view of application health through real-time monitoring and alerts, facilitating quick identification of performance bottlenecks and outages. It helps IT teams enhance user experience by predicting potential issues and optimizing resource allocation. Its flexibility and scalability cater to a range of business needs.

What are key features of CA App Synthetic Monitor?

Real-Time Monitoring: Continuous monitoring of web applications to detect issues quickly.
Global Reach: Simulate user transactions from multiple locations worldwide.
Custom Alerts: Set up customized alerts for specific performance thresholds.
Detailed Reporting: Access in-depth analysis of application performance metrics.
Scalability: Easily scalable to match growing business demands.

What benefits or ROI should users expect?

Improved User Experience: By identifying issues early, end-users encounter fewer disruptions.
Cost Efficiency: Reduces downtime-related costs through early detection and resolution.
Enhanced Reliability: Ensures application reliability and reduces service outages.
Time Saving: Automates performance checks to save time for IT teams.

Industries such as e-commerce, finance, and IT services implement CA App Synthetic Monitor to ensure their software systems remain performant under various conditions. For e-commerce, it assures checkout processes run smoothly. Financial sectors use it to guarantee secure and reliable transaction handling. IT services leverage its capabilities to maintain service level agreements, ensuring customer satisfaction in digital interactions.

Broadcom

Elastic Observability offers a comprehensive suite for log analytics, application performance monitoring, and machine learning. It integrates seamlessly with platforms like Teams and Slack, enhancing data visualization and scalability for real-time insights.

Elastic Observability is designed to support production environments with features like logging, data collection, and infrastructure tracking. Centralized logging and powerful search functionalities make incident response and performance tracking efficient. Elastic APM and Kibana facilitate detailed data visualization, promoting rapid troubleshooting and effective system performance analysis. Integrated services and extensive connectivity options enhance its role in business and technical decision-making by providing actionable data insights.

What are the most important features of Elastic Observability?

Centralized Logging: Streamlines the collection, analysis, and storage of log data.
Powerful Search: Provides robust search capabilities for quick access to relevant information.
Scalability: Supports growing data needs across diverse environments.
Real-time Telemetry: Ensures up-to-date insights and monitoring.
Platform Integration: Seamlessly connects with services like Teams and Slack.
Data Visualization: Enhances visibility with Elastic APM and Kibana.

What benefits and ROI should users explore in reviews?

Cost-effectiveness: Offers significant savings through efficient data management.
Rapid Incident Response: Minimizes downtime with quick troubleshooting tools.
Comprehensive Insights: Supports better business decisions with detailed data analysis.
Performance Tracking: Enables assessment of system effectiveness and improvements.

Elastic Observability is employed across industries for critical operations, such as in finance for transaction monitoring, in healthcare for secure data management, and in technology for optimizing application performance. Its data-driven approach aids efficient event tracing, supporting diverse industry requirements.

Elastic

Sample Customers

Lexmark

PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank

Buyer's Guide

CA App Synthetic Monitor vs. Elastic Observability

August 2026

Free Report: CA App Synthetic Monitor vs. Elastic Observability

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