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Elastic Search vs Lucidworks 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
Ranking in Indexing and Search
1st
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
67
Ranking in other categories
Cloud Data Integration (9th), Search as a Service (1st), Vector Databases (2nd)
Lucidworks
Ranking in Indexing and Search
5th
Average Rating
8.6
Number of Reviews
2
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Indexing and Search category, the mindshare of Elastic Search is 25.4%, down from 26.6% compared to the previous year. The mindshare of Lucidworks is 11.9%, up from 6.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search
 

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.
OK
Provides the ability to control how indexing and searching perform
* Facets were one of the major features which provide powerful ways to filter search results. * A wide range of connectors allows you to utilize Fusion on different areas. * Ability to control how indexing and searching perform and controls how the scoring for search results is done, letting you customize the search experience according to your needs. * High availability

Quotes from Members

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

Pros

"The most valuable features of Elastic Enterprise Search are it's cloud-ready and we do a lot of infrastructure as code. By using ELK, we're able to deploy the solution as part of our ISC deployment."
"The solution is very good with no issues or glitches."
"Implementing the main requirements regarding my support portal​."
"The most valuable features are the data store and the X-pack extension."
"Elastic Enterprise Search is scalable. On a scale of one to 10, with one being not scalable and 10 being very scalable, I give Elastic Enterprise Search a 10."
"Elastic Search makes handling large data volumes efficient and supports complex search operations."
"The solution is valuable for log analytics."
"It is easy to scale with the cluster node model.​"
"The valuable features are automation and multiple connectors available out of the box. It is simple to manage and easier to use for all users."
"Provides the ability to control how indexing and searching perform and controls how the scoring for search results is done, letting you customize the search experience according to your needs."
 

Cons

"They could improve some of the platform's infrastructure management capabilities."
"The solution must provide AI integrations."
"This product could be improved with additional security, and the addition of support for machine learning devices."
"There is a lack of technical people to develop, implement and optimize equipment operation and web queries."
"It was not possible to use authentication three years back. You needed to buy the product's services for authentication."
"It needs email notification, similar to what Logentries has. Because of the notification issue, we moved to Logentries, as it provides a simple way to receive notification whenever a server encounters an error or unexpected conditions (which we have defined using RegEx​)."
"While integrating with tools like agents for ingesting data from sources like firewalls is valuable, I believe prioritizing improvements to the core product would be more beneficial."
"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."
"The solution could improve by adding more AI and natural language processing."
"Having some kind of prebuilt client UI will be helpful."
 

Pricing and Cost Advice

"The solution is free."
"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 pricing structure depends on the scalability steps."
"we are using a licensed version of the product."
"This product is open-source and can be used free of charge."
"We are using the free version and intend to upgrade."
"The pricing model is questionable and needs to be addressed because when you would like to have the security they charge per machine."
"The price of Elasticsearch is fair. It is a more expensive solution, like QRadar. The price for Elasticsearch is not much more than other solutions we have."
"The price of the solution is a little high and the downside is there is not a perpetual license available. I have to renew it annually. The price of Lucidworks can be difficult for some of my clients to afford."
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
15%
Government
9%
Manufacturing Company
8%
Financial Services Firm
40%
Manufacturing Company
16%
Computer Software Company
5%
Government
5%
 

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?
I don't know about pricing. That is dealt with by the sales team and our account team. I was not involved with that.
What needs improvement with ELK Elasticsearch?
I found an issue with Elasticsearch in terms of aggregation. They are good, yet the rules written for this are not really good. There is a maximum of 10,000 entries, so the limitation means that if...
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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.
Wells Fargo, Cisco, Nike, Target, Verizon, Hortonworks
Find out what your peers are saying about Elastic Search vs. Lucidworks and other solutions. Updated: April 2025.
848,576 professionals have used our research since 2012.