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Elastic Search vs Loom Systems comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Elastic Search
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
71
Ranking in other categories
Indexing and Search (1st), Cloud Data Integration (9th), Search as a Service (1st), Vector Databases (3rd)
Loom Systems
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
4
Ranking in other categories
IT Infrastructure Monitoring (62nd), Anomaly Detection Tools (2nd)
 

Mindshare comparison

Elastic Search and Loom Systems aren’t in the same category and serve different purposes. Elastic Search is designed for Indexing and Search and holds a mindshare of 23.1%, down 27.8% compared to last year.
Loom Systems, on the other hand, focuses on IT Infrastructure Monitoring, holds 0.3% mindshare, up 0.2% since last year.
Indexing and Search
IT Infrastructure Monitoring
 

Featured Reviews

Anand_Kumar - PeerSpot reviewer
Captures data from all other sources and becomes a MOM aka monitoring of monitors
Scalability and ROI are the areas they have to improve. Their license terms are based on the number of cores. If you increase the number of cores, it becomes very difficult to manage at a large scale. For example, if I have a $3 million project, I won't sell it because if we're dealing with a 10 TB or 50 TB system, there are a lot of systems and applications to monitor, and I have to make an MOM (Mean of Max) for everything. This is because of the cost impact. Also, when you have horizontal scaling, it's like a multi-story building with only one elevator. You have to run around, and it's not efficient. Even the smallest task becomes difficult. That's the problem with horizontal scaling. They need to improve this because if they increase the cores and adjust the licensing accordingly, it would make more sense.
Keerthi Kumar Sangaraju - PeerSpot reviewer
Stable, easy to set up, flexible, and has multiple functionalities, but needs to define priority levels for each incident
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.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Implementing the main requirements regarding my support portal​."
"The forced merge and forced resonate features reduce the data size increasing reliability."
"Elasticsearch includes a graphical user interface (GUI) called Kibana. The GUI features are extremely beneficial to us."
"I value the feature that allows me to share the dashboards to different people with different levels of access."
"ELK Elasticsearch is 100% scalable as scalability is built into the design"
"It is highly valuable because of its simplicity in maintenance, where most tasks are handled for you, and it offers a plethora of built-in features."
"The solution has great scalability."
"Data indexing of historical data is the most beneficial feature of the product."
"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."
"The solution is absolutely scalable. If an organization needs to expand it out they definitely can."
"You can develop your own apps within Loom, and they can be configured very simply."
 

Cons

"The GUI is the part of the program which has the most room for improvement."
"There should be more stability."
"Both the graph feature and the reporting feature are a little bit lacking. The alerting also needs to be improved."
"Machine learning on search needs improvement."
"Elastic Enterprise Search can improve by adding some kind of search that can be used out of the box without too much struggle with configuration. With every kind of search engine, there is some kind of special function that you need to do. A simple out-of-the-box search would be useful."
"Ratio aggregation is not supported in this solution."
"There are a lot of manual steps on the operating system. It could be simplified in the user interface."
"There is a maximum of 10,000 entries, so the limitation means that if I wanted to analyze certain IP addresses more than 10,000 times, I wouldn't be able to dump or print that information."
"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."
"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,"
 

Pricing and Cost Advice

"The solution is affordable."
"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."
"The price of Elastic Enterprise is very, very competitive."
"The pricing structure depends on the scalability steps."
"This product is open-source and can be used free of charge."
"We are paying $1,500 a month to use the solution. If you want to have endpoint protection you need to pay more."
"​The pricing and license model are clear: node-based model."
"It can be expensive."
Information not available
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
14%
Manufacturing Company
9%
Government
9%
Computer Software Company
23%
Financial Services Firm
13%
Real Estate/Law Firm
11%
Educational Organization
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about ELK Elasticsearch?
Logsign provides us with the capability to execute multiple queries according to our requirements. The indexing is very high, making it effective for storing and retrieving logs. The real-time anal...
What is your experience regarding pricing and costs for ELK Elasticsearch?
We used the open-source version of Elasticsearch, which was free.
What needs improvement with ELK Elasticsearch?
It would be useful if a feature for renaming indices could be added without affecting the performance of other features. However, overall, the consistency and stability of Elasticsearch are already...
Ask a question
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Comparisons

 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
No data available
 

Overview

 

Sample Customers

T-Mobile, Adobe, Booking.com, BMW, Telegraph Media Group, Cisco, Karbon, Deezer, NORBr, Labelbox, Fingerprint, Relativity, NHS Hospital, Met Office, Proximus, Go1, Mentat, Bluestone Analytics, Humanz, Hutch, Auchan, Sitecore, Linklaters, Socren, Infotrack, Pfizer, Engadget, Airbus, Grab, Vimeo, Ticketmaster, Asana, Twilio, Blizzard, Comcast, RWE and many others.
Citrix, Amdocs, Sysaid, Hexaware, Effibar, Revtrak, Taptica
Find out what your peers are saying about Elastic Search vs. Loom Systems and other solutions. Updated: January 2022.
860,825 professionals have used our research since 2012.