Elastic Observability vs Loom Systems comparison

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Executive Summary

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

Find out in this report how the two IT Infrastructure Monitoring solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Elastic Observability vs. Loom Systems 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
"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.""Good design and easy to use once implemented.""The most valuable feature of Elastic Observability is the text search.""For full stack observability, Elastic is the best tool compared with any other tool .""Its diverse set of features available on the cloud is of significant importance.""The ability to ensure that the data is searchable and maintainable is highly valuable for our purposes.""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."

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"What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution.""The RFS portion of the solution is the product's most valuable feature.""You can develop your own apps within Loom, and they can be configured very simply.""The solution is absolutely scalable. If an organization needs to expand it out they definitely can."

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Cons
"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 is reactive rather than proactive. It should act as an ITSM tool and be able to create tickets and alerts on Jira.""Elastic Observability needs to improve the retrieval of logs and metrics from all the instances.""There could be more low-code features included in the product.""They need more skills in the market. There are not enough skills in the market. It is not pervasive enough on the market, in my opinion. In other words, there isn't a big enough user base.""There is room for improvement regarding its APM capabilities.""There's a steep learning curve if you've never used this solution before.""More web features could be added to the product."

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"What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that there's an incident, that there needs to be an immediate resolution for it, you'll see severity one, severity two, etc., in Loom Systems, rather than priority levels. It would be better if the incidents can be defined as low priority, medium priority, or high priority.""The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,""The reporting is a bit weak. They should work to improve this aspect of the product.""The change management within the solution needs to be improved. There needs to be more process automation."

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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 →

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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:What I like best about Loom Systems is that you can use it for infrastructure monitoring. I also like that it's a flexible solution.
    Top Answer:What's lacking in Loom Systems is the level of priority for each incident. For example, after implementation and there was a huge impact on the client, and the client comes back to you and says that… more »
    Top Answer:We've been using Loom Systems for all client requirements and whatever we get from ITSM, specifically implementation, deployment, migration, and automation. We also use the solution for root cause… more »
    Ranking
    Views
    5,192
    Comparisons
    4,376
    Reviews
    16
    Average Words per Review
    445
    Rating
    7.9
    Views
    320
    Comparisons
    207
    Reviews
    1
    Average Words per Review
    414
    Rating
    7.0
    Comparisons
    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.
    Loom Systems delivers an advanced AI-powered operational analytics platform to predict and prevent problems in the digital business. DevOps & IT teams use Loom for real-time detection and resolution for any type of application, including home-grown. Loom analyzes logs and metrics in all formats, performs smart correlations and root cause analysis to help organizations gain immediate into their environments. Loom stands alone in the industry as an AI platform requiring no prior math knowledge from its operators, leveraging your existing staff to succeed in the digital era. Getting started is easy - zero configuration and data pre-processing needed, so you can stream your data in its raw format.
    Sample Customers
    PSCU, Entel, VITAS, Mimecast, Barrett Steel, Butterfield Bank
    Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica
    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%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company16%
    Media Company9%
    Real Estate/Law Firm9%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise18%
    Large Enterprise55%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise66%
    VISITORS READING REVIEWS
    Small Business23%
    Midsize Enterprise9%
    Large Enterprise68%
    Buyer's Guide
    Elastic Observability vs. Loom Systems
    May 2024
    Find out what your peers are saying about Elastic Observability vs. Loom Systems and other solutions. Updated: May 2024.
    772,649 professionals have used our research since 2012.

    Elastic Observability is ranked 10th in IT Infrastructure Monitoring with 22 reviews while Loom Systems is ranked 58th in IT Infrastructure Monitoring with 4 reviews. Elastic Observability is rated 7.8, while Loom Systems is rated 8.0. 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 Loom Systems writes "Simple and very effective for developing and configuring apps with great integration capabilities". Elastic Observability is most compared with Dynatrace, New Relic, Azure Monitor, Sentry and AppDynamics, whereas Loom Systems is most compared with Elastic Search, VMware Aria Operations for Applications and Splunk Infrastructure Monitoring. See our Elastic Observability vs. Loom Systems report.

    See our list of best IT Infrastructure Monitoring vendors.

    We monitor all IT Infrastructure Monitoring 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.