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Elastic Search vs MuleSoft Composer comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 3, 2024

Review summaries and opinions

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

ROI

Sentiment score
3.8
Organizations using Elastic Search reported improved efficiency, faster performance, cost savings, and enhanced data management, emphasizing positive outcomes.
Sentiment score
5.4
MuleSoft Composer improves data exchange, boosts efficiency by up to 70%, and supports scalable integration across departments, suggesting high value.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
Software Engineer at Government of India
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
SOC A2 at Innodata-ISOGEN
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
Senior Devops Engineer at Ubique Digital LTD
 

Customer Service

Sentiment score
6.3
Elastic Search customer service is praised for responsiveness and expertise, though some users note occasional slow responses.
Sentiment score
5.2
MuleSoft Composer's customer service is generally satisfactory, though improvements are needed in response time and priority services.
For P1 tickets, they provide very immediate quick responses and join calls to support and troubleshoot the issue accordingly.
Elastic Engineer at The Unique Identification Authority of India (UIDAI)
The customer support for Elastic Search is one of the best I have ever tried.
Software Developer at a media company with 10,001+ employees
They have always been really responsible and responsive to my requests.
Security Lead at a tech vendor with 501-1,000 employees
 

Scalability Issues

Sentiment score
7.2
Elastic Search is scalable and reliable for high-volume tasks, though some users face challenges with cost and complex data handling.
Sentiment score
6.0
MuleSoft Composer is rated positively for scalability, supporting both large user numbers and smaller groups efficiently.
We can search through that document quite easily, sometimes in 7 milliseconds, sometimes one or two milliseconds.
Product Engineer at A3L
Performance tests involving one million requests at once, we encountered issues with shards and nodes not upscaling as needed, leading to crashes and minimal data loss.
Consultant at a tech vendor with 10,001+ employees
I would rate its scalability a ten.
Backend Developer
 

Stability Issues

Sentiment score
7.7
Elastic Search is reliable, especially under one terabyte, with occasional issues and challenges from frequent updates.
Sentiment score
6.6
Users praise MuleSoft Composer's stability and support, noting minor glitches but effective resource deployment and no crashes.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
SOC A2 at Innodata-ISOGEN
The stability of Elasticsearch was very high.
Backend Developer
When you put one keyword, everything related to that keyword in your ecosystem will showcase all the results.
Chief Information Security Officer at CDSL Ventures Limited
 

Room For Improvement

Users criticize Elastic Search for mapping conflicts, complex setup, high costs, and desire improved AI integration and better documentation.
MuleSoft Composer needs platform integration, interface, scalability enhancements, effective guidance, AI, simplified configuration, and improved monitoring features.
From a technical point of view, there are no significant issues recalled as Elastic Search has been absolutely awesome for this use case and covers 100% of the needs.
Principal Scientific Computing Software Engineer at a educational organization with 1,001-5,000 employees
If I need to parse one million records saved into Elastic Search, it becomes a nightmare because I need to do the pagination, and it is very problematic in that regard.
Lead Engineer at Spidersilk
Observability features like search latency, indexing rate, and maybe rejected requests should be added to make the platform more reliable and accessible for everyone.
Senior System Engineer at EPAM Systems
It would be better to concentrate on one platform and develop everything on it for the integrated development environment.
BTP Architect at a government with 1,001-5,000 employees
 

Setup Cost

Elastic Search offers enterprise pricing based on nodes, with costs varying by features, support, and deployment options.
MuleSoft Composer pricing is seen as high, prompting calls for regional adjustments to enhance accessibility for medium companies.
On the AWS side, it is very expensive because they charge based on query basis or how much data is transferred in and out, making it very expensive.
Lead Engineer at Spidersilk
Having the hosted solution and not having to pay for essentially a DevOps person on staff to manage makes it affordable.
CTO at a tech services company with 1-10 employees
You can host it on-premises, which would incur zero cost, or take it as a SaaS-based service, where the expenses remain minimal.
Senior Software Engineer at Agoda
 

Valuable Features

Elastic Search enhances data handling with advanced search features, scalability, AI integrations, and powerful visualization via Kibana.
MuleSoft Composer simplifies integration for Salesforce users with prebuilt connectors and compatibility without requiring programming skills.
Elastic Search makes handling large data volumes efficient and supports complex search operations.
Software Engineer at Government of India
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
Backend Developer
The speed with which Elastic Search is able to search through all of the documents we place into it is quite remarkable, as we search through 65 billion documents in less than a second in most cases, on a constant consistent basis.
Director, Software Engineering at a tech vendor with 10,001+ employees
It has more options for installation and architecture because it can run entirely on-premise.
BTP Architect at a government with 1,001-5,000 employees
 

Categories and Ranking

Elastic Search
Ranking in Cloud Data Integration
5th
Average Rating
8.2
Reviews Sentiment
6.5
Number of Reviews
96
Ranking in other categories
Indexing and Search (1st), Search as a Service (1st), Vector Databases (2nd)
MuleSoft Composer
Ranking in Cloud Data Integration
17th
Average Rating
7.8
Reviews Sentiment
6.2
Number of Reviews
7
Ranking in other categories
Data Integration (37th), Integration Platform as a Service (iPaaS) (15th)
 

Mindshare comparison

As of May 2026, in the Cloud Data Integration category, the mindshare of Elastic Search is 1.7%, down from 1.8% compared to the previous year. The mindshare of MuleSoft Composer is 1.9%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Mindshare Distribution
ProductMindshare (%)
Elastic Search1.7%
MuleSoft Composer1.9%
Other96.4%
Cloud Data Integration
 

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.
reviewer2763903 - PeerSpot reviewer
BTP Architect at a government with 1,001-5,000 employees
Has supported on-premise deployments well but could improve tool consolidation and flow development flexibility
I have analyzed but haven't used MuleSoft Composer extensively. I am not very proficient in the subject of pricing. Both platforms are performing well. If a customer is more SAP-centric, it makes sense to consider integration suite because of the predefined content. A customer will need to have SAP BTP for side-by-side application extensions. MuleSoft Composer is powerful and flexible in terms of installation options, with runtime either on cloud or fully on-premise. It is quite a popular platform. MuleSoft Composer might be less expensive than SAP integration suite, though this is an assumption as I haven't compared prices. I am accustomed to learning and studying with SAP documentation. The organization is more convenient for me, though there are plenty of documentation and resources for MuleSoft Composer as well. The context is the primary consideration. If a customer uses multiple SAP solutions, not just SAP for accounting, it makes sense to consider the integration suite due to better SAP compatibility. When SAP introduces new interface technology, integration suite will be the first to support it, while MuleSoft Composer will need time to develop new connectors. I rate this solution a six out of ten.
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Top Industries

By visitors reading reviews
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Retailer
6%
Healthcare Company
10%
Construction Company
9%
Comms Service Provider
9%
Financial Services Firm
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business39
Midsize Enterprise12
Large Enterprise47
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise2
Large Enterprise2
 

Questions from the Community

What is your experience regarding pricing and costs for ELK Elasticsearch?
When it comes to pricing, I think we had to pay AWS approximately 1,000 to 1,200 per month for the overall stack. I am not quite certain about how much Elastic Search costs specifically because I w...
What needs improvement with ELK Elasticsearch?
Elastic Search has many features, including Kibana and Logstash, which we regularly use. However, one downside in our product is cost, as it can be expensive when maintaining multiple shards and in...
What is your primary use case for ELK Elasticsearch?
As a developer, I use Elastic Search in developing one of my applications, basically integrating the back-end with Elastic Search. Our main use case for Elastic Search is for Logstash, which is a s...
What do you like most about MuleSoft Composer?
The way Composer organizes and manages integration processes is most beneficial. We can easily monitor what's running and what isn't and troubleshoot any data integration issues.
What needs improvement with MuleSoft Composer?
I used Anypoint Studio, which is good though not very flexible. It seems strange that some functionality from MuleSoft Composer is available from Eclipse and some from Visual Code. It would be bett...
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
MuleSoft Composer for Salesforce
 

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.
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Find out what your peers are saying about Elastic Search vs. MuleSoft Composer and other solutions. Updated: April 2026.
894,738 professionals have used our research since 2012.