Catchpoint vs Elastic Observability comparison

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Catchpoint Logo
1,407 views|840 comparisons
100% willing to recommend
Elastic Logo
12,565 views|10,451 comparisons
90% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Catchpoint and Elastic Observability based on real PeerSpot user reviews.

Find out in this report how the two Application Performance Monitoring (APM) and Observability solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Catchpoint vs. Elastic Observability Report (Updated: May 2024).
772,649 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"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 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.""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.""Catchpoint's customer service and support are valuable.""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.""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 solution offers three different ways of slicing data to look for abnormalities.""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."

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"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.""The solution has been stable in our usage.""The architecture and system's stability are simple.""The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization.""It has always been a stable solution.""Its diverse set of features available on the cloud is of significant importance.""It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis.""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."

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Cons
"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.""It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow.""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.""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.""The old user version was better, it was more user-friendly.""Catchpoint can be improved by focusing solely on network monitoring."

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"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.""The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages.""The price is the only issue in the solution. It can be made better and cheaper.""Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira.""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 Observability needs to improve the retrieval of logs and metrics from all the instances.""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."

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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."
  • "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 solution's pricing is comparable to the last tool we were using."
  • More Catchpoint Pricing and Cost Advice →

  • "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."
  • "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."
  • "Pricing is one of those situations where the more you use it, the more you pay."
  • "The price of Elastic Observability is expensive."
  • "Users have to pay for some features, like the alerts on different channels, because they are unavailable in different source versions."
  • "One needs to pay for the licenses, and it is an annual subscription model right now."
  • "Since we are a huge company, Elastic Observability is an affordable solution for us."
  • "We will buy a premium license after POC."
  • More Elastic Observability Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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.
    Top Answer:I rate the price a two out of ten, where one is a high price and ten is a low price.
    Top Answer:It would be great if Catchpoint could incorporate its alerting system instead of relying on separate tools like ServiceNow.
    Top Answer: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… more »
    Top Answer:I rate the pricing a five out of ten. The product is not that cheap.
    Top Answer: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… more »
    Ranking
    Views
    1,407
    Comparisons
    840
    Reviews
    7
    Average Words per Review
    827
    Rating
    8.1
    Views
    12,565
    Comparisons
    10,451
    Reviews
    16
    Average Words per Review
    445
    Rating
    7.9
    Comparisons
    Learn More
    Overview

    Catchpoint is the Internet Resilience Company™. The top online retailers, Global2000, CDNs, cloud service providers, and xSPs in the world rely on Catchpoint to increase their resilience by catching any issues in the Internet Stack before they impact their business. Catchpoint’s Internet Performance Monitoring (IPM) suite offers synthetics, RUM, performance optimization, high fidelity data and flexible visualizations with advanced analytics. It leverages thousands of global vantage points (including inside wireless networks, BGP, backbone, last mile, endpoint, enterprise, ISPs, and more) to provide unparalleled observability into anything that impacts your customers, workforce, networks, website performance, applications, and APIs.

    Learn more at: https://www.catchpoint.com/

    To effectively monitor and gain insights across your distributed systems, you need to have all your observability data in one stack. Break down silos by bringing together application, infrastructure, and user data into a unified solution for end-to-end observability and alerting.
    Rely on the most widely deployed observability platform available, built on the proven Elastic Stack (also known as the ELK Stack) to converge silos, delivering unified visibility and actionable insights.
    Sample Customers
    PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
    Top Industries
    VISITORS READING REVIEWS
    Educational Organization56%
    Financial Services Firm11%
    Computer Software Company9%
    Retailer4%
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Comms Service Provider9%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company15%
    Manufacturing Company8%
    Healthcare Company6%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise8%
    Large Enterprise58%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise57%
    Large Enterprise34%
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise66%
    Buyer's Guide
    Catchpoint vs. Elastic Observability
    May 2024
    Find out what your peers are saying about Catchpoint vs. Elastic Observability and other solutions. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Catchpoint is ranked 20th in Application Performance Monitoring (APM) and Observability with 12 reviews while Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews. Catchpoint is rated 8.2, while Elastic Observability is rated 7.8. The top reviewer of Catchpoint writes "The UI is well designed, so it's easy to get the visibility you want". On the other hand, the top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". Catchpoint is most compared with Dynatrace, ThousandEyes, Datadog, Splunk Enterprise Security and AppDynamics, whereas Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, AppDynamics and Sentry. See our Catchpoint vs. Elastic Observability report.

    See our list of best Application Performance Monitoring (APM) and Observability vendors.

    We monitor all Application Performance Monitoring (APM) and Observability reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.