Elastic Observability vs ITRS Geneos comparison

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12,565 views|10,451 comparisons
90% willing to recommend
ITRS Logo
4,379 views|2,313 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary
Updated on Jun 28, 2023

We performed a comparison between Elastic Observability and ITRS Geneos for Valuable based on real PeerSpot user reviews in five categories. After reading all of the collected data, you can find our conclusion below.

  • Ease of Deployment: The initial setup for Elastic Observability and ITRS Geneos differs in complexity, with Elastic Observability being more challenging due to its distributed nature. ITRS Geneos has a straightforward installation process and top-notch documentation, but it can still be complex and may require onsite support. The number of personnel needed for deployment is dependent on the organization's sizs.
  • Features: Elastic Observability has machine learning and custom development options, and is more economical and flexible. ITRS Geneos, on the other hand, has highly customizable monitoring and real-time capabilities, and is powerful and tailored to specific use cases. Both tools are stable and easy to use.
  • Pricing: Elastic Observability offers flexibility in pricing depending on usage and license, while ITRS Geneos' pricing is based on market demand and future utilization. Elastic Observability includes open source options and embedded components, while ITRS Geneos has additional add-ons that come with extra costs.
  • Service and Support: Elastic Observability is praised for their great tech support and comprehensive online community. ITRS Geneos also has excellent technical support and an effective ticketing system. However, some customers have experienced slow response times and suggest improvements.
  • ROI: Elastic Observability is a budget-friendly option that enhances visibility, streamlines data management, and decreases incidents. On the other hand, ITRS Geneos is a proactive tool that identifies potential problems, minimizes downtime, manages alerts, and aids in application maintenance.

Comparison Results: Elastic Observability offers machine learning, custom development, and easy data management. ITRS Geneos is highly customizable but needs improvement in deployment and cloud monitoring. Its setup can also be complex and require onsite support. Both products have reasonable pricing, but Elastic Observability is cost-effective and helps organizations achieve their objectives at a lower price, making it the preferred option.

To learn more, read our detailed Elastic Observability vs. ITRS Geneos 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 ability to ensure that the data is searchable and maintainable is highly valuable for our purposes.""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.""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.""Good design and easy to use once implemented.""It has always been a stable solution.""The price is very less expensive compared to the other solutions.""Elastic APM has plenty of features, such as the Elastic server for Kibana and many additional plugins. It's a comprehensive tool when used as a logging platform."

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"One of the most valuable features is that it can be configured by non-developers. It doesn't require development expertise to configure it.""The clean and colorful UI and easy to use options like snooze and active times.""Real-time log monitoring with desktop alerts is valuable as it tells us immediately when there is an issue.""ITRS can define rules to alert when certain parameters that you monitor breach a threshold. Rules can be configured to fire recovery actions automatically to clear the alert""The biggest benefit of Geneos is the fact that we can clearly see, if we have an alert, where that alert has come from. We can see the data around that alert and anything that might be relevant is also shown. We can very easily right-click and see why we've received that alert. That's the best part about it, that you've got all the data there with the alerting.""The Netprobe is so lightweight compared to the agents that most monitoring tools use. It's really superior to the competition. The agent that is used by almost every competitive tool takes a lot more system resources. It's slower and it requires a greater effort and more compromises in terms of security to install on the monitored servers. With Geneos, because it lives outside the code, it is far easier and far less taxing on the monitored systems.""One of the most valuable features of ITRS Geneos is the active time feature that helps with the trading applications that I support.""The solution is used across the entire investment banking division, covering environments such as electronic trading, algo-trading, fixed income, FX, etc. It monitors that environment and enables a bank to significantly reduce down time. Although hard to measure, since implementation, we have probably seen some increased stability because of it and we have definitely seen teams a lot more aware of their environment. Consequently, we can be more proactive in challenging and improving previously undetected weaknesses."

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Cons
"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 solution would be better if it was capable of more automation, especially in a monitoring capacity or for the response to abnormalities.""Elastic Observability needs to have better standardization, logging, and schema.""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 is difficult to use. There are only three options for customization but this can be difficult for our use case. We do not have other options to choose the metrics shown, such as CPU or memory usage.""Elastic APM's visualization is not that great compared to other tools. It's number of metrics is very low.""There's a steep learning curve if you've never used this solution before.""Elastic Observability is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira."

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"t needs to have better middleware integration for things such as application and Microsft SQL servers.""The ITA, the post-incident analytics, could be improved.""The deployment method for upgrading is a bit tricky. It takes a little bit of manual effort. If that could be a bit more automated, it would help us a lot.""One thing that could be improved in terms of rapid scaling would be more ability to clone aspects of an implementation. It seems like there are opportunities in this area, where we have repetitive tasks to do when it comes to implementing things on new servers or on new gateways. It would be great if there was an easy way to clone something that had already been done.""There is a part of the rules for monitoring alerts. I want to understand more about how to choose the samples and the requirements for the rules. That is the part that I want to understand better and get better training for.""At the moment Geneos is excellent and handling real time monitoring, however not great at doing historical reporting.""I would like ITRS Geneos to develop an app, where instead of going to specific login terminals or logging into laptops or desktops to check alerts, we can have visibility in the app itself.""Much of the reporting outside of the user interface is very basic and requires much customization to be useful."

More ITRS Geneos Cons →

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 →

  • "You will get the best price if you get a single global deal."
  • "The product is priced quite high. There are pricing options for customers based on the size of the environment and plug-ins used by the monitoring system."
  • "Pricing and licensing is based on the requirements."
  • "The licensing cost may seem expensive upfront. However, the service is outstanding, the tool does things that no other tools can do, and the customizability more than makes up for the cost of licensing."
  • "Pricing is the touchy subject, even here. Upper management always wants us to find a cheaper solution. But we have so much integrated with ITRS... It's expensive, but it does its job very well. And you set it and go."
  • "It is expensive. They have to look at the model around when we move to cloud and how that's going to work. The licensing cost does pay off because of the improvements in support to our business."
  • "When I first came in, their pricing was very high. ITRS had a high expectation of what their price should be based on perceived value. I think they have been realizing, more recently, that there are other competitors, so their pricing is a lot better. Licensing for on-premise is okay, however I feel there is quite some work to be done for cloud and containers. We're still working with them to try and work out what that pricing should look like."
  • "Given our spend and the amount of service we have in it, the pricing is quite reasonable."
  • More ITRS Geneos Pricing and Cost Advice →

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    Questions from the Community
    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 »
    Top Answer:I would say that it is an easy-to-use monitoring tool. Amongst the available monitoring tools, it is a really good option.
    Top Answer:The pricing is high. Licensing fees might be around 500$ per server monthly.
    Top Answer:ITRS Geneos is a legacy system. It predicts or provides proactive measures once an issue is resolved. It doesn't offer any predictive capabilities or root cause analysis. They throw a lot of data if… more »
    Ranking
    Views
    12,565
    Comparisons
    10,451
    Reviews
    16
    Average Words per Review
    445
    Rating
    7.9
    Views
    4,379
    Comparisons
    2,313
    Reviews
    11
    Average Words per Review
    1,415
    Rating
    7.9
    Comparisons
    Also Known As
    Geneos
    Learn More
    Overview
    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.

    ITRS Geneos is a real-time monitoring tool designed for managing increasingly complex, hybrid and interconnected IT estates.

    Built with financial services and trading organisations in mind, it collects a wide range of data relating to server performance, infrastructure, trading, connectivity and applications, and analyses it to provide relevant information and alerts in real time.

    Geneos can give full stack visibility across highly dynamic environments and presents all the information through a single pane of glass and its configurable and customisable dashboards provide end-to-end visibility to both technical and business users.

    For more information, please visit https://www.itrsgroup.com/products/geneos

    Sample Customers
    PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
    ITRS Geneos is used by over 170 financial institutions, including JPMorgan, HSBC, RBS, Deutsche Bank and Goldman Sachs. Clients range from investment banks to exchanges and brokers.
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Manufacturing Company18%
    Comms Service Provider9%
    Healthcare Company9%
    VISITORS READING REVIEWS
    Financial Services Firm21%
    Computer Software Company15%
    Manufacturing Company8%
    Healthcare Company6%
    REVIEWERS
    Financial Services Firm92%
    Computer Software Company5%
    Marketing Services Firm3%
    VISITORS READING REVIEWS
    Financial Services Firm76%
    Computer Software Company5%
    University3%
    Non Profit2%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise66%
    REVIEWERS
    Small Business11%
    Midsize Enterprise21%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business7%
    Midsize Enterprise6%
    Large Enterprise87%
    Buyer's Guide
    Elastic Observability vs. ITRS Geneos
    May 2024
    Find out what your peers are saying about Elastic Observability vs. ITRS Geneos and other solutions. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Elastic Observability is ranked 7th in Application Performance Monitoring (APM) and Observability with 22 reviews while ITRS Geneos is ranked 11th in Application Performance Monitoring (APM) and Observability with 57 reviews. Elastic Observability is rated 7.8, while ITRS Geneos is rated 8.2. The top reviewer of Elastic Observability writes "The user interface framework lets us do custom development when needed. ". On the other hand, the top reviewer of ITRS Geneos writes "The flexible dashboard sets it apart from competing tools, but it's costly and lacks scalability". Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and Splunk APM, whereas ITRS Geneos is most compared with Dynatrace, AppDynamics, Grafana, Datadog and AppDynamics Server Monitoring. See our Elastic Observability vs. ITRS Geneos report.

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