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Elastic Cloud (Elasticsearch Service) vs Meilisearch comparison

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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 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
Meilisearch
Ranking in Indexing and Search
14th
Average Rating
10.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Featured Reviews

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.
reviewer2797689 - PeerSpot reviewer
CTO at a tech vendor with 1-10 employees
Improved search performance has reduced our operational costs and simplified ongoing maintenance
I use it for 50% text search and 50% vector search They drastically reduce operation costs for both human resources and compute compared to OpenSearch. Everything was an upgrade compared to Amazon OpenSearch, with the exception of resiliency. The resiliency of their service needs improvement.…

Quotes from Members

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

Pros

"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."
"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."
"Since implementing Elastic Cloud (Elasticsearch Service), we saved around 20% of money and around 40% of time for the users."
"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."
"Elastic Cloud (Elasticsearch Service) is a wonderful solution for seamless implementation and maintaining its health."
"Everything was an upgrade compared to Amazon OpenSearch, with the exception of resiliency."
 

Cons

"Machine learning might be expensive for customers."
"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."
"Sometimes it gets tricky to navigate through the user manuals because there are different forms of links."
"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."
"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."
"The resiliency of their service needs improvement. There have been several outages."
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Top Industries

By visitors reading reviews
Construction Company
19%
Outsourcing Company
13%
Computer Software Company
13%
Comms Service Provider
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise3
No data available
 

Questions from the Community

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.
What needs improvement with Meilisearch?
The resiliency of their service needs improvement. There have been several outages.
What is your primary use case for Meilisearch?
I use it for 50% text search and 50% vector search.
 

Overview

Find out what your peers are saying about Elastic, Coveo, Glean and others in Indexing and Search. Updated: October 2026.
921,338 professionals have used our research since 2012.