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Coveo vs Elastic Cloud (Elasticsearch Service) comparison

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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

Coveo
Ranking in Indexing and Search
2nd
Average Rating
8.2
Number of Reviews
14
Ranking in other categories
AI Research (1st)
Elastic Cloud (Elasticsearc...
Ranking in Indexing and Search
11th
Average Rating
8.6
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of October 2026, in the Indexing and Search category, the mindshare of Coveo is 5.8%, down from 8.5% compared to the previous year. The mindshare of Elastic Cloud (Elasticsearch Service) is 1.8%. It is calculated based on PeerSpot user engagement data.
Indexing and Search Mindshare Distribution
ProductMindshare (%)
Coveo5.8%
Elastic Cloud (Elasticsearch Service)1.8%
Other92.4%
Indexing and Search
 

Featured Reviews

reviewer2903370 - PeerSpot reviewer
Web Project Manager at a university with 10,001+ employees
Search insights have reduced no-result queries and guide visitors quickly to relevant content
In my opinion, the best features Coveo offers are that it's quick, it's easy to navigate, and if you have something you want to know, Coveo is very helpful in helping you find out how to get the information that you need and sort the information that you need. Of those features, the main thing I find myself appreciating the most in my day-to-day work is being able to find what I need without spending a huge amount of time. The speed and easy navigation are important; there are other tools that do the same thing, but finding what I need quickly really matters.
Mahir Selek - PeerSpot reviewer
Data Scientist at a educational organization with 5,001-10,000 employees
Chatbot has handled large PDF search workloads and provides clear dashboards for daily work
Because I am pursuing a PhD and work under the university, my university has an agreement with AWS, which makes it essentially free and easier to use. In the AWS ecosystem, everything is connected and I can control everything without uncertainty about what is happening behind the scenes. However, when using Elastic Cloud (Elasticsearch Service), I connected it to Google Cloud but I am paying separate receipts. Over the last two months in October and November, I paid two separate invoices that are not connected to Google Cloud, which I did not appreciate. Google Cloud has a nice interface that gives me full control of pricing and billing. I can see daily, weekly, and monthly breakdowns with bar charts, and I can track exactly how much I spent during any period. Elastic Cloud (Elasticsearch Service) does not have such a tool for billing visibility. Since I am handling significant amounts of money and am responsible for this task within my company, I have high expectations for pricing and billing transparency. I would appreciate the ability to set a spending limit, such as uploading 200 euros, and receive notifications when reaching 50% of that limit. These notifications could appear on the dashboard, in the application, or via email. It would be valuable to see a timeline of my spending. I would characterize the pricing as somewhat expensive. I did not use competitors extensively, so I may have a bias about this. The pricing of large language models is not expensive—I use Anthropic's Claude or Google's Gemini, which are state-of-the-art models. However, I am uncertain whether I have a bias about Elastic Cloud (Elasticsearch Service) pricing. It is not extraordinarily expensive, but when I compare it with the cost of using large language models or Google Cloud storage, it is quite expensive. A couple of days ago, the Elastic team reached out to me. We have been regularly using the service since April, and 10 days ago at the beginning of December, I deleted my hosted deployments because I did not like the idea of paying when I am not actively using Elastic Cloud (Elasticsearch Service). They informed me that there is a serverless option available. Before Christmas, I want to try it to see how it works, as I am uncertain about the serverless concept and whether it will provide the same functionality that I use with the hosted deployment.

Quotes from Members

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

Pros

"Coveo provides AI-driven search results and proper recommendations based on customer interaction and context, which is very beneficial for us because it improves our order conversion rate, allowing customers to find the exact products they want and see similar products, greatly increasing upselling."
"Before moving to Coveo, we had metrics of user clicks around two million, but after we went live with Coveo, user clicks and all view analytics jumped up over 3.5 million, which was a significant upgrade after implementing Coveo."
"In terms of accuracy and reliability of output, I believe Coveo is probably the best in market scenarios."
"One of the standout features of Coveo is its AI-powered search relevance, which helps users find the right content quickly."
"The biggest positive impact Coveo has made on my organization is reducing the time people spend manually searching across different enterprise systems."
"Coveo already has a very good e-learning platform with multiple courses to learn and certifications to achieve, so it is very good in terms of the learning curve for new users or developers working with it."
"Coveo is scalable and I have not seen any latency issue."
"What we are seeing is that our sales have significantly increased by twenty to thirty percent just within one year of using Coveo."
"Elastic Cloud (Elasticsearch Service) has positively impacted my organization by allowing us to move away from expensive services such as DataDog and gives us about the same level of service while allowing us to keep data for a longer period of time at a cheaper price."
"There have been quite a lot of good outcomes since using Elastic Cloud (Elasticsearch Service); customers have been able to use their data much faster and more effectively, and it definitely stands as one of the best observability platforms."
"Since implementing Elastic Cloud (Elasticsearch Service), we saved around 20% of money and around 40% of time for the users."
"Scalability is valuable to me, as I have 50,000 PDF JSON files that contain my metadata, and I am really glad to use Elastic Cloud (Elasticsearch Service) for this volume without any issues."
"Elastic Cloud (Elasticsearch Service) is a wonderful solution for seamless implementation and maintaining its health."
 

Cons

"I think the pricing was definitely on the higher side, and the professional services were also quite costly."
"I chose eight out of ten because we have some limitations, such as when we share heavy data, where a large number of data takes more time for Coveo to process; that is one area where Coveo needs to improve, but apart from that, it is good."
"The main area I would improve is the learning curve because there are many concepts and configuration options, and understanding how indexing, query pipelines, security, and all those pieces work together requires experience."
"I would give Coveo a nine out of ten because the response and everything is fine, but the technical team of Coveo helps us, yet I think it is not one hundred percent."
"I think Coveo can be improved by providing a sandbox for developers, even if you are not part of an organization, and the API configurations can be made a bit easier because there are a lot of options right now which confuses users."
"The main reason I rate it an eight out of ten is that while Coveo is very capable, there is still some room for improvement regarding the developer experience."
"One area of improvement for Coveo is the size limitation concerning response results."
"Coveo can improve by supporting a few more languages."
"Elastic Cloud (Elasticsearch Service) could be improved by adopting more natural language querying and semantic search, as keyword searching was prevalent from 2010 to 2013, but circumstances have changed significantly since then."
"I would characterize the pricing as somewhat expensive. It is not extraordinarily expensive, but when I compare it with the cost of using large language models or Google Cloud storage, it is quite expensive."
"Machine learning might be expensive for customers."
"The logging feature of Elastic Cloud (Elasticsearch Service) itself is pretty valuable, but we tried the observability module and some of the AI features. Those need improvement."
"Sometimes it gets tricky to navigate through the user manuals because there are different forms of links."
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Top Industries

By visitors reading reviews
Outsourcing Company
12%
Financial Services Firm
11%
Construction Company
9%
Comms Service Provider
9%
Construction Company
19%
Outsourcing Company
13%
Computer Software Company
13%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Midsize Enterprise5
Large Enterprise18
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise3
 

Questions from the Community

What is your experience regarding pricing and costs for Coveo?
I didn't work on the licensing part of Coveo because I was an employee and not the manager.
What needs improvement with Coveo?
Coveo can improve by supporting a few more languages. For example, we have tested with English and Chinese and a bit of French. I think Coveo can come up with indexing and searching with non-native...
What is your primary use case for Coveo?
I used Coveo for content indexing and content search from AEM, and I have used it for multiple languages. The content was available in English language and Chinese language, so our requirement was ...
What needs improvement with Elastic Cloud (Elasticsearch Service)?
Elastic Cloud (Elasticsearch Service) could be improved by adopting more natural language querying and semantic search, as keyword searching was prevalent from 2010 to 2013, but circumstances have ...
What is your primary use case for Elastic Cloud (Elasticsearch Service)?
Our company's main use case for Elastic Cloud (Elasticsearch Service) is that we have a search bar on our website and we use Elasticsearch behind that search bar to get results based on keywords. T...
What advice do you have for others considering Elastic Cloud (Elasticsearch Service)?
I recommend others looking into using Elastic Cloud (Elasticsearch Service) to use the Azure AI Cognitive Search plugin. I would rate this solution a 9 out of 10.
 

Overview

 

Sample Customers

Sonus, 3i Group, Adobe, AECOM, American Society of Anesthesiologists, AmerisourceBergen Specialty Group, Centre dÍaccs ö lÍinformation juridique, Genesys, GoPro, Harris, Imprivata, L'Oreal, KeyBank, VMware
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Find out what your peers are saying about Coveo vs. Elastic Cloud (Elasticsearch Service) and other solutions. Updated: September 2026.
917,433 professionals have used our research since 2012.