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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
5.2
Elastic Search enhances efficiency, saves costs, offers monitoring, is open-source, and supports problem-solving despite setup and license challenges.
Sentiment score
7.2
IBM App Connect enhances efficiency and ROI with centralized integrations, requiring expertise for long-term success across various sectors.
We have not purchased any licensed products, and our use of Elastic Search is purely open-source, contributing positively to our ROI.
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.
 

Customer Service

Sentiment score
6.3
Elastic Search's support is praised for its online resources and knowledgeable staff but criticized for occasional slow response times.
Sentiment score
6.6
IBM App Connect support is responsive and competent, but inconsistencies and delays exist, especially in non-urgent and local support.
The customer support for Elastic Search is one of the best I have ever tried.
They have always been really responsible and responsive to my requests.
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
7.2
Elastic Search is scalable but requires careful infrastructure management for large databases and quick expansion challenges.
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.
Since we're on the cloud, whenever we need to upgrade or add resources, they handle everything.
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 highly stable and reliable, with few issues, and often receives high ratings for its performance.
Sentiment score
7.5
IBM App Connect is stable, with high reliability, though occasional issues arise from environment, configuration, or resource management.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
The stability of Elasticsearch was very high.
Elastic Search is quite stable.
Some companies require multiple configurations, including ODBC connections, JDBC connections, different BI databases, main databases, and replication servers.
 

Room For Improvement

Elastic Search requires improvements in security, usability, performance, and documentation to address user challenges with integration and scalability.
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.
It is primarily based on Unix or Linux-based operating systems and cannot be easily configured in Windows systems.
The consistency and stability of Elasticsearch are commendable, and they should keep up the good work.
Version 13 includes around 200 features with cloud platform compatibility.
I find it particularly good for on-premises and now cloud use.
 

Setup Cost

Elastic Search provides cost-effective deployment, but premium features and scalability can increase overall enterprise costs.
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.
Elastic pushes clients to buy the Enterprise edition instead of the Premium edition, and we don't see the value in that other than to spend more money more quickly.
For insurance companies with simple JDBC connections, the process is straightforward.
 

Valuable Features

Elastic Search offers powerful search, quick indexing, scalability, and affordability, with integrations for enhanced visualization and data management.
IBM App Connect excels with robust integration, user-friendly design, scalability, and flexibility for seamless, secure, and complex integrations.
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 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.
The transformation capabilities in IBM App Connect are particularly beneficial.
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
6.6
Number of Reviews
75
Ranking in other categories
Indexing and Search (1st), Search as a Service (1st), Vector Databases (3rd)
IBM App Connect
Ranking in Cloud Data Integration
13th
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 October 2025, in the Cloud Data Integration category, the mindshare of Elastic Search is 2.0%, up from 1.0% compared to the previous year. The mindshare of IBM App Connect is 4.6%, up from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Cloud Data Integration Market Share Distribution
ProductMarket Share (%)
Elastic Search2.0%
IBM App Connect4.6%
Other93.4%
Cloud Data Integration
 

Featured Reviews

Louis McCoy - PeerSpot reviewer
Searches through billions of documents have become impressively fast and consistent
The seamless scalability is something I see as among the best features Elastic Search offers. 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. I find configuring relevant searches within Elastic Search platform very straightforward. Elastic Search is easily scalable. The customer support for Elastic Search is quite good. I advise others looking into using Elastic Search to think about the future of your platform and where you intend it to be in five years, and based on that, which version of Elastic Search best suits the needs of your platform. Additionally, jump into the AI products first as you're in the planning phase so that as you're filling out your data, the AI products and machine learning products can enrich the data real-time early on in the process, which will save you a lot of time later. The overall performance of the platform, scalability of the platform and other additional features, especially when it comes to AI, really earn the nine.
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.
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Top Industries

By visitors reading reviews
Computer Software Company
14%
Financial Services Firm
13%
Manufacturing Company
8%
Government
8%
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
13%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise9
Large Enterprise36
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise4
Large Enterprise19
 

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?
We could benefit from refining the machine learning models that we currently use in Elastic Search, along with the possibility to integrate agents, intelligent artificial intelligence, form of agen...
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: September 2025.
869,771 professionals have used our research since 2012.