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Elastic Search vs IBM App Connect 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
6.4
Elastic Search offers high ROI, efficiency, and cost-effectiveness, with significant time-saving and security benefits despite some licensing costs.
Sentiment score
7.2
IBM App Connect enhances efficiency and ROI with centralized integrations, requiring expertise for long-term success across various sectors.
It is stable, and we do not encounter critical issues like server downtime, which could result in data loss.
The main benefits observed from using Elastic Search include improvements in operational efficiency, along with cost, time, and resource savings.
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
6.5
Elastic Search's customer service is praised for responsiveness and knowledge, but complex issue support may require improvement.
Sentiment score
6.6
IBM App Connect support is responsive and competent, but inconsistencies and delays exist, especially in non-urgent and local support.
I would rate technical support from Elastic Search as three out of ten.
When opening a ticket with the global team, problems are resolved promptly and effectively.
The technical support from IBM is good.
 

Scalability Issues

Sentiment score
7.3
Elastic Search is scalable and integrates well, but challenges exist with large datasets and disaster recovery under rapid scaling.
Sentiment score
7.4
IBM App Connect is praised for scalability in cloud and container environments, with suggestions for improved administration features.
I would rate its scalability a ten.
I would rate the scalability of Elasticsearch as an eight.
I can actually add more storage and memory because I host it in the cloud.
IBM App Connect demonstrates good scalability.
I would rate the scalability of IBM App Connect as nine out of ten.
 

Stability Issues

Sentiment score
7.7
Elastic Search is stable and reliable, though version updates and data management can affect performance under stress.
Sentiment score
7.5
IBM App Connect is stable, with high reliability, though occasional issues arise from environment, configuration, or resource management.
The stability of Elasticsearch was very high.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
IBM App Connect occasionally crashes for various reasons, requiring problem-solving intervention.
 

Room For Improvement

Elastic Search needs improvements in security, scalability, usability, stability, integration, support, and enhanced features for a better user experience.
IBM App Connect users seek improved logging, interface enhancements, better community support, and simpler, more cost-effective version transitions.
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.
The architecture of Elastic Search could be improved as it is complicated for most general users to build up the environment and maintain the cluster.
I find it particularly good for on-premises and now cloud use.
Version 13 includes around 200 features with cloud platform compatibility.
 

Setup Cost

Elastic Search's free open-source version can incur back-end costs for advanced features, expertise, and premium support.
IBM App Connect's annual pricing varies by transactions and partnership, with complexities and flexibility in setup and licensing.
We used the open-source version of Elasticsearch, which was free.
For insurance companies with simple JDBC connections, the process is straightforward.
 

Valuable Features

Elastic Search is valued for scalability, fast indexing, powerful analysis, security features, cloud readiness, and strong community support.
IBM App Connect excels with robust integration, user-friendly design, scalability, and flexibility for seamless, secure, and complex integrations.
The most valuable feature of Elasticsearch was the quick search capability, allowing us to search by any criteria needed.
Elastic Search makes handling large data volumes efficient and supports complex search operations.
The full text search capabilities are particularly beneficial for handling large volumes of data.
File operations are simple to execute, and converting between XML to JSON formats is effortless with IBM App Connect.
The features I find most valuable are message routing, message transformation, and protocol translation.
 

Categories and Ranking

Elastic Search
Ranking in Cloud Data Integration
9th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
71
Ranking in other categories
Indexing and Search (1st), Search as a Service (1st), Vector Databases (3rd)
IBM App Connect
Ranking in Cloud Data Integration
7th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
25
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of June 2025, in the Cloud Data Integration category, the mindshare of Elastic Search is 2.1%, up from 0.5% compared to the previous year. The mindshare of IBM App Connect is 4.9%, up from 3.5% 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.
Emirhan Guven - PeerSpot reviewer
Transforms data efficiently and navigates licensing challenges with ease
The transition between version 12 and version 13 presents some challenges. While version 12 had approximately 10 features, version 13 includes around 200 features with cloud platform compatibility. The learning curve for developers moving from version 12 to 13 could be smoother. When using new components, better context explanations would be beneficial. In version 13, accessing new features requires connecting through a web browser, which can be challenging to understand. The explanation of new features could be more user-friendly.
report
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Top Industries

By visitors reading reviews
Computer Software Company
16%
Financial Services Firm
14%
Government
9%
Manufacturing Company
9%
Educational Organization
22%
Computer Software Company
13%
Financial Services Firm
12%
Manufacturing Company
8%
 

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?
We used the open-source version of Elasticsearch, which was free.
What needs improvement with ELK Elasticsearch?
It would be useful if a feature for renaming indices could be added without affecting the performance of other features. However, overall, the consistency and stability of Elasticsearch are already...
What do you like most about IBM App Connect?
I like the adapters. The adapters help us achieve scalability. If you want to connect to SAP, there's an adapter. Salesforce? There's an adapter. You want to connect to another system? There's like...
What is your experience regarding pricing and costs for IBM App Connect?
Configuration time varies by implementation. For insurance companies with simple JDBC connections, the process is straightforward. However, companies requiring multiple configurations for ODBC, JDB...
What is your primary use case for IBM App Connect?
I am a developer specializing in IBM App Connect. We have a customer interested in comparing ESB tools, such as webMethods, which was previously owned by Software AG company before IBM acquired the...
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
IBM Cast Iron
 

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.
United Way of Allegheny County, Saint-Gobain CPS, Ricoh, SunTrust Banks Inc.
Find out what your peers are saying about Elastic Search vs. IBM App Connect and other solutions. Updated: June 2025.
859,533 professionals have used our research since 2012.