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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 (58th), Digital Experience Monitoring (DEM) (10th)
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
7th
Ranking in Cloud Monitoring Software
6th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
27
Ranking in other categories
IT Infrastructure Monitoring (10th), Log Management (16th), Container Monitoring (4th)
 

Mindshare comparison

As of July 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Catchpoint is 0.5%, up from 0.4% compared to the previous year. The mindshare of Elastic Observability is 4.8%, down from 5.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
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

"We really need the API monitoring, as well as client side session monitoring, the global synthetic monitoring, to track the availability of the systems from the customer side."
"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 product's most valuable feature is the ability to identify and troubleshoot network issues."
"The solution offers three different ways of slicing data to look for abnormalities."
"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."
"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."
"Catchpoint's customer service and support are valuable."
"The most valuable features of Catchpoint are basically the transaction monitors on the API and UI."
"The architecture and system's stability are simple."
"We can view and connect different sources to the dashboard using it."
"It has always been a stable solution."
"All the features that we use, such as monitoring, dashboarding, reporting, the possibility of alerting, and the way we index the data, are important."
"The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization."
"Machine learning is the most valuable feature of this solution."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"The most valuable feature of Elastic Observability is the text search."
 

Cons

"As part of the improvement, there are certain categories, like for the China market, where we face issues."
"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."
"if we need to do performance analysis, we have to click too many times. For example, if there is an issue that is caught by Catchpoint, we need to understand what the error is and at which step it failed, or which transaction that is impacted. To drill down, we have to click too many things to get the answer."
"A large selection of nodes are available but it is a challenge to test reliably in China and the Middle East."
"There are essentially a lot of quotas. Nobody wants to sit and manually create monitors for someone who uses synthetic monitoring."
"It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow."
"The old user version was better, it was more user-friendly."
"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."
"When opening tickets, we cannot use our team mailbox."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
"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."
"More web features could be added to the product."
"Improving code insight related to infrastructure and network, particularly focusing on aspects such as firewalls, switches, routers, and testing would be beneficial."
"If we had some pre-defined templates for observability that we could start using right away after deploying it – instead of having to build or to change some of the dashboards – that would be helpful."
"Elastic Observability needs to have better standardization, logging, and schema."
 

Pricing and Cost Advice

"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 solution's pricing varies based on services and licensing models."
"The solution's pricing is comparable to the last tool we were using."
"The price and licensing are very, very high. They have to come down on the pricing to match with the industry standard."
"The product’s pricing needs improvement."
"Since we are a huge company, Elastic Observability is an affordable solution for us."
"Elastic Observability's pricing could be better for small-scale users."
"The product is not that cheap."
"Elastic Observability is cheaper than other similar solutions, such as Dynatrace. Its license calculation is based on various factors like data volume and physical infrastructure, particularly related to RAM capacity."
"We have been using the open-source version."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
22%
Educational Organization
17%
Retailer
10%
Computer Software Company
9%
Financial Services Firm
19%
Computer Software Company
15%
Manufacturing Company
8%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 license for Elastic Observability is the same as for other uses; you pay for Elastic, and you can use it for various cases. Observability is actually cheaper compared to logs because you're not...
What needs improvement with Elastic Observability?
I think they are working on the AI-based features, which are currently in technical preview. The only challenging aspect for new users is often writing the query language. Basic searching is very e...
 

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: May 2025.
860,632 professionals have used our research since 2012.