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ELK Elasticsearch vs Loom Systems comparison

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4,374 views|2,895 comparisons
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823 views|694 comparisons
Featured Review
Find out what your peers are saying about ELK Elasticsearch vs. Loom Systems and other solutions. Updated: January 2022.
566,406 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database.""The UI is very nice, and performance wise it's quite good too.""The most valuable features are the ease and speed of the setup.""It's a stable solution and we have not had any issues.""Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us.""ELK Elasticsearch is 100% scalable as scalability is built into the design""The initial installation and setup were straightforward.""The most valuable feature is the out of the box Kibana."

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"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
"Kibana should be more friendly, especially when building dashboards.""The reports could improve.""It should be easier to use. It has been getting better because many functions are pre-defined, but it still needs improvement.""There are some features lacking in ELK Elasticsearch.""The solution has quite a steep learning curve. The usability and general user-friendliness could be improved. However, that is kind of typical with products that have a lot of flexibility, or a lot of capabilities. Sometimes having more choices makes things more complex. It makes it difficult to configure it, though. It's kind of a bitter pill that you have to swallow in the beginning and you really have to get through it.""The metadata gets stored along with indexes and isn't queryable.""Its licensing needs to be improved. They don't offer a perpetual license. They want to know how many nodes you will be using, and they ask for an annual subscription. Otherwise, they don't give you permission to use it. Our customers are generally military or police departments or customers without connection to the internet. Therefore, this model is not suitable for us. This subscription-based model is not the best for OEM vendors. Another annoying thing about Elasticsearch is its roadmap. We are developing something, and then they say, "Okay. We have removed that feature in this release," and when we are adapting to that release, they say, "Okay. We have removed that one as well." We don't know what they will remove in the next version. They are not looking for backward compatibility from the customers' perspective. They just remove a feature and say, "Okay. We've removed this one." In terms of new features, it should have an ODBC driver so that you can search and integrate this product with existing BI tools and reporting tools. Currently, you need to go for third parties, such as CData, in order to achieve this. ODBC driver is the most important feature required. Its Community Edition does not have security features. For example, you cannot authenticate with a username and password. It should have security features. They might have put it in the latest release.""Something that could be improved is better integrations with Cortex and QRadar, for example."

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"The discovery and mapping still takes a lot of human intervention, it's quite resource heavy,""The change management within the solution needs to be improved. There needs to be more process automation.""The reporting is a bit weak. They should work to improve this aspect of the product."

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Pricing and Cost Advice
  • "It can be expensive."
  • "This product is open-source and can be used free of charge."
  • "We are using the open-sourced version."
  • "The basic license is free, but it comes with a lot of features that aren't free. With a gold license, we get active directory integration. With a platinum license, we get alerting."
  • "The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
  • "We are using the Community Edition because Elasticsearch's licensing model is not flexible or suitable for us. They ask for an annual subscription. We also got the development consultancy from Elasticsearch for 60 days or something like that, but they were just trying to do the same trick. That's why we didn't purchase it. We are just using the Community Edition."
  • "We are using the free open-sourced version of this solution."
  • "The price could be better."
  • More ELK Elasticsearch Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: 
    The flexibility and the support for diverse languages that it provides for searching the database are most valuable. We can use different languages to query the database.
    Top Answer: 
    There is a free version, and there is also a hosted version for which you have to pay. We're currently using the free version. If things go well, we might go for the paid version.
    Top Answer: 
    It is hard to learn and understand because it is a very big platform. This is the main reason why we still have nothing in production. We have to learn some things before we get there. I have reported… more »
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    7.9
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    Overview
    Elasticsearch is a distributed, JSON-based search and analytics engine designed for horizontal scalability, maximum reliability, and easy management. Elasticsearch lets you perform and combine many types of searches — structured, unstructured, geo, metric — any way you want.
    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.
    Offer
    Learn more about ELK Elasticsearch
    Learn more about Loom Systems
    Sample Customers
    HotelTonight, Perceivant, Docker, Green Man Gaming, Xoom, AutoScout24, TheLadders, Center for Open Science, Parleys, Tango
    Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica
    Top Industries
    REVIEWERS
    Financial Services Firm29%
    Computer Software Company29%
    Transportation Company7%
    University7%
    VISITORS READING REVIEWS
    Computer Software Company24%
    Comms Service Provider23%
    Media Company12%
    Financial Services Firm6%
    VISITORS READING REVIEWS
    Computer Software Company38%
    Financial Services Firm16%
    Comms Service Provider11%
    Government7%
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise9%
    Large Enterprise48%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise11%
    Large Enterprise67%
    No Data Available
    Find out what your peers are saying about ELK Elasticsearch vs. Loom Systems and other solutions. Updated: January 2022.
    566,406 professionals have used our research since 2012.

    ELK Elasticsearch is ranked 1st in Anomaly Detection Tools with 19 reviews while Loom Systems is ranked 4th in Anomaly Detection Tools with 3 reviews. ELK Elasticsearch is rated 8.0, while Loom Systems is rated 8.4. The top reviewer of ELK Elasticsearch writes "Good processing power, very scalable, and able to handle all data formats". On the other hand, the top reviewer of Loom Systems writes "Simple and very effective for developing and configuring apps with great integration capabilities". ELK Elasticsearch is most compared with Amazon Athena, Azure Search, Splunk User Behavior Analytics, Amazon AWS CloudSearch and Solr, whereas Loom Systems is most compared with Splunk IT Service Intelligence (ITSI), Moogsoft, Datadog and BigPanda. See our ELK Elasticsearch vs. Loom Systems report.

    See our list of best Anomaly Detection Tools vendors.

    We monitor all Anomaly Detection Tools 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.