Try our new research platform with insights from 80,000+ expert users

Elastic Search vs MuleSoft Anypoint Platform comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 9, 2025

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
6.4
Elastic Search improves efficiency and insights, offering 50% ROI despite cost concerns due to its stability and open-source benefits.
Sentiment score
7.2
MuleSoft Anypoint Platform reduces TCO, simplifies integration, and offers high ROI, though pricing may challenge smaller companies.
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
 

Customer Service

Sentiment score
6.6
Elastic Search support is knowledgeable but slow; extensive documentation and community resources often suffice for user independence.
Sentiment score
6.8
Users praise MuleSoft's responsive support but suggest documentation and response time improvements; satisfaction varies with support levels.
The Salesforce team offers different levels of support.
The support team is responsive and helpful.
 

Scalability Issues

Sentiment score
7.3
Elastic Search offers strong scalability, praised for ease of use, though rapid scaling and large data pose challenges.
Sentiment score
7.6
MuleSoft Anypoint Platform is highly flexible and scalable but faces challenges with file sizes and scaling costs.
I would rate its scalability a ten.
I can actually add more storage and memory because I host it in the cloud.
I would rate the scalability of Elasticsearch as an eight.
MuleSoft Anypoint Platform is quite scalable, and it meets our use cases with no issues preventing implementation.
MuleSoft provides the ability to scale, yet it is costly to do so.
 

Stability Issues

Sentiment score
7.7
Elastic Search is considered stable and reliable, though issues with memory and resource management can affect performance.
Sentiment score
7.9
MuleSoft Anypoint Platform shows improved stability, minimal issues, and high reliability with optimized resource management in cloud environments.
It was consistent and reliable in our usage.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
 

Room For Improvement

Enhancements in security, support, scalability, integration, and user experience are needed for improved Elastic Search efficiency and usability.
MuleSoft Anypoint Platform needs enhancements in processing, support, integration, and user interface for improved efficiency and usability.
This can create problems for new developers because they have to quickly switch to another version.
The consistency and stability of Elasticsearch are commendable, and they should keep up the good work.
It is primarily based on Unix or Linux-based operating systems and cannot be easily configured in Windows systems.
Currently, it uses other standards, but adopting OpenAPI, the standard in the market, would be beneficial.
When dealing with multiple transactions or trading, the system can lose control, and tracking becomes hectic.
MuleSoft is considered expensive, so pricing is a major concern.
 

Setup Cost

Elastic Search's base functionality is free, but enterprise features require licenses, making larger deployments potentially costly.
MuleSoft Anypoint Platform's pricing is complex and high, potentially deterring smaller organizations despite offering enterprise support.
We used the open-source version of Elasticsearch, which was free.
I do not know the specific costs, but given that it is part of MuleSoft, I suspect it is not cheap.
MuleSoft is considered one of the more expensive products in the market.
The platform reduces manual workload in maintaining infrastructure, but it does come with some cost considerations.
 

Valuable Features

Elastic Search excels in scalable data management, rapid search, AI-based analytics, with Kibana enhancing visualization and multitenancy.
MuleSoft Anypoint Platform excels with API management, integration features, a user-friendly interface, and robust data management capabilities.
Elastic Search makes handling large data volumes efficient and supports complex search operations.
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
The full text search capabilities are particularly beneficial for handling large volumes of data.
The most valuable feature is the full lifecycle management, including Anypoint Designer and Exchange, as well as Discofolio API.
MuleSoft Anypoint Platform helps to standardize data integration approaches, making it easier to implement integration projects.
The platform is integrated with Salesforce, making it preferable when using Salesforce products.
 

Categories and Ranking

Elastic Search
Ranking in Cloud Data Integration
11th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
70
Ranking in other categories
Indexing and Search (1st), Search as a Service (1st), Vector Databases (2nd)
MuleSoft Anypoint Platform
Ranking in Cloud Data Integration
4th
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
58
Ranking in other categories
Message Queue (MQ) Software (4th), Business-to-Business Middleware (1st), Workload Automation (4th), Integration Platform as a Service (iPaaS) (2nd)
 

Mindshare comparison

As of May 2025, in the Cloud Data Integration category, the mindshare of Elastic Search is 2.1%, up from 0.4% compared to the previous year. The mindshare of MuleSoft Anypoint Platform is 6.8%, down from 8.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration
 

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.
Vijay Subramanyam - PeerSpot reviewer
Robust, reliable, and stable, ensuring high availability for critical integrations
I would rate the scalability an eight out of ten; it is a highly scalable solution. We have around 200 end users using this solution in our company. We use it to its maximum capacity. However, it's not for P1 applications, but definitely for severity two cases (P2 level). It integrates critical applications, but it's not a platform that, if it stops, the entire system would come down. So, it's more like a severity two level. However, it has the potential to eventually become a P1 platform. Not exactly P1 applications, but a P1 platform. Because now we are still in the transition to migrate everything, all the integrations to Mule Anypoint Platform. But once it's done, then this platform becomes critical. Because even now, we have point-to-point connections.
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
851,491 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
15%
Government
9%
Manufacturing Company
8%
Educational Organization
18%
Computer Software Company
13%
Financial Services Firm
11%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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...
What advice do you have for others considering Mule Anypoint Platform?
I architected solutions using Oracle SOA/OSB, Spring Boot, MuleSoft Anypoint Platform on cloud / on-premises and hybrid modes; What I see is though if you are an enterprise and have enough money th...
How does TIBCO BusinessWorks compare with Mule Anypoint Platform?
Our organization ran comparison tests to determine whether TIBCO BusinessWorks or Mule Anypoint platform integration and connectivity software was the better fit for us. We decided to go with Mule...
What can Mule Anypoint Platform be used for and what do you use it for most often?
This is a very flexible solution that comes with multiple uses. My organization mostly uses Mule Anypoint Platform for API management, as it lets us build new APIs easily and design new interfaces...
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
Data Integrator, Anypoint MQ
 

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.
VMware, Gucci, MasterCard, Target, Time Inc, Hershey's, Tesla, Spotify, Office Depot, Intuit, CBS, Amtrak, Salesforce, Gap, Ralph Lauren
Find out what your peers are saying about Elastic Search vs. MuleSoft Anypoint Platform and other solutions. Updated: April 2025.
851,491 professionals have used our research since 2012.