Elastic Observability vs ITRS Geneos comparison

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12,577 views|10,415 comparisons
90% willing to recommend
ITRS Logo
4,407 views|2,309 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: March 2024).
768,740 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
"Good design and easy to use once implemented.""The architecture and system's stability are simple.""The price is very less expensive compared to the other solutions.""The solution allows us to dig deep into data.""Machine learning is the most valuable feature of this solution.""It is a powerful tool that allows users to collect and transform logs as needed, enabling flexible visualization and analysis.""The tool's most valuable feature is centralized logging. Elastic Common Search helps us to search for the logs across the organization.""The solution is open-source and helps with back-end logging. It is also easy to handle."

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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.""Real-time log monitoring with desktop alerts is valuable as it tells us immediately when there is an issue.""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.""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.""The ability to logically normalize data gathered from multiple types of sources via pre-built plugins is extremely powerful. This functionality, coupled with the ability to import custom data via the Toolkit plugin allows Geneos to be leveraged to monitor every system in the enterprise.""The flexibility of the product is most valuable. It is highly customizable. If you put your mind to it and think of something you could do, there's a good possibility you can get it integrated within the console, if it's not readily available. The simplicity or ease of customization has been valuable.""ITRS uses SNMP to communicate with our devices as well as SNMP net probes installed on our servers.""The clean and colorful UI and easy to use options like snooze and active times."

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Cons
"Elastic Observability needs to improve the retrieval of logs and metrics from all the instances.""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 APM's visualization is not that great compared to other tools. It's number of metrics is very low.""The solution needs to use more AI. Once the product onboards AI, users would more effectively be able to track endpoints for specific messages.""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.""There's a steep learning curve if you've never used this solution before.""The price is the only issue in the solution. It can be made better and cheaper."

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"A lightweight version which could host more than 100 gateways, as we can see slowness while loading all our gateways.""ITRS Geneos cloud monitoring is very weak and can use improvement.""Geneos' application monitoring could be improved a lot. Products like AppDynamics and Dynatrace provide the process thread-level monitoring, but Geneos lacks these capabilities.""One area where there is room for improvement is the log file. I would like to be able to do a pre-run on the log files. When you are testing log files for regular expressions, it would be good to be able to do a quick check up front on that side of things before you release that into production.""For the solution to stay relevant in the cloud-based monitoring environment Geneos needs more plug-ins with more features. Instead of offering clients workarounds, the solution should have a cloud-based out-of-the-box version.""They have the Webslinger solution where you can see when something is alerting. It's a little bit cumbersome.""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.""I would really like to see something from the Geneos side to set up automated reporting from ITRS. We have to send reporting to management every day. To do that we have to check the dashboard and then we have to report whether everything is fine or not. In the future, I want something, some reporting kind of feature in ITRS, where it can collect all the data and mention what is green, what is amber, what is red in a report."

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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
    12,577
    Comparisons
    10,415
    Reviews
    16
    Average Words per Review
    445
    Rating
    7.9
    Views
    4,407
    Comparisons
    2,309
    Reviews
    10
    Average Words per Review
    1,486
    Rating
    8.2
    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 Firm75%
    Computer Software Company5%
    University3%
    Comms Service Provider3%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise67%
    REVIEWERS
    Small Business11%
    Midsize Enterprise21%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business7%
    Midsize Enterprise6%
    Large Enterprise88%
    Buyer's Guide
    Elastic Observability vs. ITRS Geneos
    March 2024
    Find out what your peers are saying about Elastic Observability vs. ITRS Geneos and other solutions. Updated: March 2024.
    768,740 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, AppDynamics, Azure Monitor and Splunk APM, whereas ITRS Geneos is most compared with Dynatrace, AppDynamics, Grafana, Prometheus 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.