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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's customer service and support are valuable."
"The thing I like most is the tech support in this company, because they have 24/7 chat support. We can chat immediately and ask them about an issue and they keep responding. They create tickets on our behalf and respond."
"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."
"The product's most valuable feature is the ability to identify and troubleshoot network issues."
"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."
"The most valuable features of Catchpoint are basically the transaction monitors on the API and UI."
"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."
"It is very stable, and I would rate it ten out of ten based on my interaction with it."
"Machine learning is the most valuable feature of this solution."
"I have built a mini business intelligence system based on Elastic Observability."
"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
"The solution is open-source and helps with back-end logging. It is also easy to handle."
"It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis."
"It is scalable and supports multitenancy, which is beneficial for MSPs."
"The Elastic User Interface framework lets us do custom development when needed. You need to have some Javascript knowledge. We need that knowledge to develop new custom tests."
 

Cons

"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."
"A room for improvement in Catchpoint is that it lacks an automated page updating feature. My company receives all the alerts and notifications it needs, but the page doesn't update automatically. You need to manually refresh the page, so every five minutes you need to refresh it to see the most updated information. If there's an automated page refresh feature, that would help my company. It's a feature that Grafana has. The page auto-refreshes in Grafana, so you don't have to manually refresh the page. If that feature is implemented in Catchpoint, it'll be useful for the users. Another area for improvement in the tool is you have to do a manual task, for example, when you have a notification for a market, you get a zip code that the user could have entered, but if the zip code is incorrect, you have to manually go into Catchpoint and update that parameter, so that manual step is another area in the tool that needs improvement."
"Catchpoint can be improved by focusing solely on network monitoring."
"It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow."
"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."
"The product could include global monitoring and predictive analytics to identify widespread issues and cyber threats."
"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."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"The interface could be improved."
"The tool's scalability involves a more complex implementation process. It requires careful calculations to determine the number of nodes needed, the specifications of each node, and the configuration of hot, warm, and cold zones for data storage. Additionally, managing log retention policies adds further complexity. The solution's pricing also needs to be cheaper."
"Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low."
"The cost must be made more transparent."
"I am familiar with Azure Monitor, which I find more user-friendly compared to Elastic, which is a very technical tool."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"There's a steep learning curve if you've never used this solution before."
 

Pricing and Cost Advice

"The price and licensing are very, very high. They have to come down on the pricing to match with the industry standard."
"The solution's pricing varies based on services and licensing models."
"The solution's pricing is comparable to the last tool we were using."
"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."
"In terms of licensing fees, I believe they were slightly higher."
"The product is not that cheap."
"The product’s pricing needs improvement."
"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."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"We will buy a premium license after POC."
"The price of Elastic Observability is expensive."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"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."
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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.
868,787 professionals have used our research since 2012.