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Elastic Search vs Fabasoft Mindbreeze Inspire 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
6.5
Number of Reviews
100
Ranking in other categories
Cloud Data Integration (5th), Search as a Service (1st), Vector Databases (6th)
Fabasoft Mindbreeze Inspire
Ranking in Indexing and Search
22nd
Average Rating
0.0
Number of Reviews
0
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of July 2026, in the Indexing and Search category, the mindshare of Elastic Search is 10.1%, down from 23.5% compared to the previous year. The mindshare of Fabasoft Mindbreeze Inspire is 2.0%, up from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Indexing and Search Mindshare Distribution
ProductMindshare (%)
Elastic Search10.1%
Fabasoft Mindbreeze Inspire2.0%
Other87.9%
Indexing and Search
 

Featured Reviews

reviewer2817942 - PeerSpot reviewer
Senior Software Engineer at a consultancy with 11-50 employees
Logging and vector search have transformed observability and empowered reliable ai agents
Elastic Search is not specifically being used for certain purposes. I deploy Elastic Search database on the cloud and use cloud services so that nobody can attack. However, I do not use Elastic Search to resolve attack issues. The basic main purpose of Elastic Search, as of now, I feel it can do more in the AI area. Sometime I saw that when I am developing RAG and have to generate the embeddings, which I call metadata, sometimes it tries to fail. That durability or issue handling should be improved, but apart from that, I did not find anything as of now. As per my use case, whatever I am using seems pretty good. Apart from that, some definitely improvement will be there. One improvement is that it should be faster. Whenever I am searching any logs, it takes much time. For example, if I open my log in Notepad or a similar tool, I can search the text within a second. With Elastic Search, it takes a little bit of time, ten to fifteen seconds. That can be improved. Sometimes, engineers take time to assign when I create a ticket.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Manufacturing Company
9%
Computer Software Company
8%
Retailer
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business40
Midsize Enterprise12
Large Enterprise50
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for ELK Elasticsearch?
I have not checked Elastic Search's pricing thoroughly, so I do not know how a company would perceive it. From what I see, small companies might consider the cost, with starting pricing for a singl...
What needs improvement with ELK Elasticsearch?
Your question about what I dislike about Elastic Search is quite pointed, and I prefer to look at it as something for improvement, such as provisioning options other than Kibana. A standalone insta...
What is your primary use case for ELK Elasticsearch?
I am familiar with Elastic Search to a certain extent as I have used it in my development life. I thought someone wanted feedback about it, specifically how I have used it in my career, so I agreed...
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Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
Mindbreeze
 

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.
Upper Austrian Chamber of Commerce, Oberbank, Wirtschaftskammer Ober_sterreich
Find out what your peers are saying about Elastic, Glean, Coveo and others in Indexing and Search. Updated: July 2026.
904,748 professionals have used our research since 2012.