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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
41st
Ranking in Cloud Monitoring Software
30th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
14
Ranking in other categories
Network Monitoring Software (60th), Digital Experience Monitoring (DEM) (9th)
Elastic Observability
Ranking in Application Performance Monitoring (APM) and Observability
7th
Ranking in Cloud Monitoring Software
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
26
Ranking in other categories
IT Infrastructure Monitoring (7th), Log Management (14th), Container Monitoring (4th)
 

Mindshare comparison

As of February 2025, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Catchpoint is 0.4%, up from 0.4% compared to the previous year. The mindshare of Elastic Observability is 5.8%, up from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Carl Funk - PeerSpot reviewer
The UI is well designed, so it's easy to get the visibility you want.
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. The other issue is the cost. The more data you collect, the more expensive it becomes. You sell your organization by saying we can get this feature set, but then you have to walk that back because we'll need more money to run every test. This is something hard to get out in your initial scoping. You provide Catchpoint with a series of tests and get a cost estimate, not realizing all the data you might have to collect long term. That was a big deal for us because we partly switched on the promise of saving money.
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."
"Catchpoint provides a great amount of information."
"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."
"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 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."
"During business hours, it has worked absolutely fine without any 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 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."
"For full stack observability, Elastic is the best tool compared with any other tool ."
"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 over a month from multiple data sources can be completed within seconds."
"Elastic provides built-in features for queries and report generation. It's a very good tool for monitoring integration capabilities."
"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."
"The most valuable feature of Elastic Observability is the text search."
"Machine learning is the most valuable feature of this solution."
"It is scalable and supports multitenancy, which is beneficial for MSPs."
 

Cons

"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."
"It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow."
"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."
"A large selection of nodes are available but it is a challenge to test reliably in China and the Middle East."
"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."
"There are essentially a lot of quotas. Nobody wants to sit and manually create monitors for someone who uses synthetic monitoring."
"There is room for improvement regarding its APM capabilities."
"Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."
"One example is the inability to monitor very old databases with the newest version."
"Elastic Observability could improve asset discovery as the current requirement to push the agent is not ideal."
"The cost must be made more transparent."
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances."
"The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages."
"Simplifying the parsing of logs and manual efforts would also be beneficial."
 

Pricing and Cost Advice

"The solution's pricing varies based on services and licensing models."
"The solution's pricing is comparable to the last tool we were using."
"In terms of licensing fees, I believe they were slightly higher."
"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 price and licensing are very, very high. They have to come down on the pricing to match with the industry standard."
"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."
"Pricing is one of those situations where the more you use it, the more you pay."
"We have been using the open-source version."
"Elastic Observability's pricing could be better for small-scale users."
"Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
"The price of Elastic Observability is expensive."
"One needs to pay for the licenses, and it is an annual subscription model right now."
"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
Educational Organization
62%
Financial Services Firm
10%
Computer Software Company
6%
Retailer
4%
Financial Services Firm
21%
Computer Software Company
15%
Manufacturing Company
9%
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?
Elastic Observability is cost-efficient and provides all features in the enterprise license without asset-based licensing. However, sizing and licensing information could be clearer.
What needs improvement with Elastic Observability?
Of course, maintenance is necessary, as with any software, requiring updates with the latest features and security enhancements. It lacked some capabilities when handling on-prem devices, like netw...
 

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: February 2025.
838,713 professionals have used our research since 2012.