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Catchpoint vs Elastic Observability comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 24, 2024

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

Catchpoint
Ranking in Application Performance Monitoring (APM) and Observability
37th
Ranking in Cloud Monitoring Software
31st
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
14
Ranking in other categories
Network Monitoring Software (57th), Digital Experience Monitoring (DEM) (12th)
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
7th
Ranking in Cloud Monitoring Software
6th
Average Rating
8.0
Reviews Sentiment
6.7
Number of Reviews
28
Ranking in other categories
IT Infrastructure Monitoring (10th), Log Management (14th), Container Monitoring (4th)
 

Mindshare comparison

As of October 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Catchpoint is 0.6%, up from 0.4% compared to the previous year. The mindshare of Elastic Observability is 3.9%, down from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Market Share Distribution
ProductMarket Share (%)
Elastic Observability3.9%
Catchpoint0.6%
Other95.5%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

AnmolRai - PeerSpot reviewer
Valuable monitoring features enhance ecommerce experience while improvement needed in region-specific insights
As part of the improvement, there are certain categories, like for the China market, where we face issues. We are currently using an external tool, Splunk, for reporting. If we could receive similar data for the China market as we do for North America and Asia Pacific, this would be helpful.
Adelina Craciun - PeerSpot reviewer
Customization enables tailored monitoring and alerting across departments
The possibility to customize it has been quite useful. Whatever the other departments want to dream up, we implement. Whatever they want to monitor, the granularity of it, the changes in the threshold, and the anomalies that they want reported all require some development. So far, every single request has been fulfilled.

Quotes from Members

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

Pros

"Catchpoint is very flexible and also provides logs for troubleshooting purposes. It helps us fix issues within the SLAs signed with the end users. The tool is easy to learn."
"During business hours, it has worked absolutely fine without any issues."
"Catchpoint helped us establish that something is in a provider network, so we could tell our customers to check their internet provider because the traffic is not getting to us. You need to be gentle when you tell them that, but the fact that we could do it was crucial."
"One of the features, the scatter plot, is very useful. It shows red dots wherever there are issues."
"The solution offers three different ways of slicing data to look for abnormalities."
"The most valuable features of Catchpoint are basically the transaction monitors on the API and UI."
"The best feature in Catchpoint is the alert or the notification my company gets frequently, in particular, every five minutes. It's the notification you get whenever a respective market has an issue. There's also a dashboard in Catchpoint that shows the markets you support, so all the markets will be highlighted graphically in the dashboard whenever there's downtime that could affect you. If there's no issue for a specific market, it will be in green, so in this way, anybody would be able to understand which market has issues and which market has no issues through Catchpoint. The tool is very useful for monitoring activities."
"The drill-down feature of this product was very good. It allowed us to identify the exact page or area of the site that was causing our customers an issue."
"Good design and easy to use once implemented."
"I found Elk to be excellent for log analytics, security analytics, application code-level analytics, collaboration with DevOps teams, CI/CD, microservices, and Kubernetes, specifically cloud-native or cloud-specific tasks."
"We use AppDynamics and Elastic. The reason why we're using Elastic APM is because of the license count. It's very favorable compared to AppDynamics. It's inexpensive; it's economical."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"I recommend Elastic Observability for its completeness of vision and wide ecosystem."
"The price is very less expensive compared to the other solutions."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
 

Cons

"The product could include global monitoring and predictive analytics to identify widespread issues and cyber threats."
"We would like the script creation feature of this solution to be improved, as it currently requires a complicated manual process to update the scripts."
"There's still too much manual involvement in getting customized test configurations out there. It's good, but it still takes a lot of effort. In other words, it's when you need to configure it to collect a specific variable and that kind of thing."
"There are essentially a lot of quotas. Nobody wants to sit and manually create monitors for someone who uses synthetic monitoring."
"A large selection of nodes are available but it is a challenge to test reliably in China and the Middle East."
"As part of the improvement, there are certain categories, like for the China market, where we face issues."
"Catchpoint can be improved by focusing solely on network monitoring."
"Trending needs improvement. Currently, out-of-the-box, they provide only seven days availability. So, we have to do queries and we have to go into a separate analysis module, we have to run lot of queries to long-term trends."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"In the future, Elastic APM needs a portfolio iTool. They can provide an easy way to develop the custom UI for Kibana."
"The price is the only issue in the solution. It can be made better and cheaper."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"It lacked some capabilities when handling on-prem devices, like network observability, package flow analysis, and device performance data on the infrastructure side."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"The auto-discovery isn't nearly as good. That's a big portion of it. When you drop the agent onto the JVM and you're trying to figure things out, having to go through and manually do all that is cumbersome."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
 

Pricing and Cost Advice

"The solution's pricing varies based on services and licensing models."
"In terms of licensing fees, I believe they were slightly higher."
"The price and licensing are very, very high. They have to come down on the pricing to match with the industry standard."
"The pricing is based on consumption and works on a point scale. For example, let's say I want to look at www.google.com, and I'm going to test it to see if it's there. It will bring back all this data that tells me how long it took to connect and how long it took to get the first byte. It will list all the resources on the page, showing that they all work and there are no broken links. It brings that data back. That test has an assigned point value depending on what you decide to extract from that test. If all I do is check to see whether it's available, it might be one point. I don't know the exact point values off-hand. This is just an example."
"The solution's pricing is comparable to the last tool we were using."
"The product is not that cheap."
"Elastic Observability's pricing could be better for small-scale users."
"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."
"We have been using the open-source version."
"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."
"We will buy a premium license after POC."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"The product’s pricing needs improvement."
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Retailer
13%
Real Estate/Law Firm
11%
Computer Software Company
7%
Financial Services Firm
17%
Computer Software Company
14%
Manufacturing Company
8%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise1
Large Enterprise8
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise4
Large Enterprise16
 

Questions from the Community

What do you like most about Catchpoint?
Catchpoint is very flexible and also provides logs for troubleshooting purposes. It helps us fix issues within the SLAs signed with the end users. The tool is easy to learn.
What is your experience regarding pricing and costs for Catchpoint?
The solution's pricing varies based on services and licensing models. Clients typically see significant operational and cost efficiencies, with time savings estimated between 30% and 40%.
What needs improvement with Catchpoint?
As part of the improvement, there are certain categories, like for the China market, where we face issues. We are currently using an external tool, Splunk, for reporting. If we could receive simila...
What do you like most about Elastic Observability?
Elastic Observability significantly improves incident response time by providing quick access to logs and data across various sources. For instance, searching for specific keywords in logs spanning...
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 ...
What needs improvement with Elastic Observability?
Out-of-the-box use cases have room for improvement in Elastic Observability. They don't invest a lot in building out-of-the-box observable use cases, and they are more focusing on giving a very fle...
 

Comparisons

 

Overview

 

Sample Customers

Information Not Available
PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
Find out what your peers are saying about Catchpoint vs. Elastic Observability and other solutions. Updated: September 2025.
868,759 professionals have used our research since 2012.