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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
5.9
Organizations had mixed ROI with Elasticsearch; some saved on costs using open-source, while others faced high licensing fees.
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.
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.
 

Customer Service

Sentiment score
6.4
Elastic Search's support receives varied feedback, with users favoring community resources and some noting slower official assistance.
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
7.2
Elastic Search is scalable, especially in cloud environments, but high-volume scalability requires careful planning and infrastructure investment.
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.
Elastic Search requires enhancements for handling huge amounts of data and updates.
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
7.6
Elastic Search is generally stable, but performance can vary due to infrastructure, version changes, and configuration requirements.
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.
IBM App Connect occasionally crashes for various reasons, requiring problem-solving intervention.
 

Room For Improvement

Elastic Search requires enhancements in security, scalability, user experience, integration, documentation, and support for enterprise needs.
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 architecture of Elastic Search could be improved as it is complicated for most general users to build up the environment and maintain the cluster.
The consistency and stability of Elasticsearch are commendable, and they should keep up the good work.
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 version can become costly for enterprises due to premium features, node-based pricing, and scalability challenges.
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 offers efficient search, scalability, and integration with Kibana and Logstash, providing affordable features and handling diverse data.
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.
I appreciate the indexing capabilities and the speed of indexing in their product, which demonstrates how quickly logs are collected and stored.
The features I find most valuable are message routing, message transformation, and protocol translation.
File operations are simple to execute, and converting between XML to JSON formats is effortless with IBM App Connect.
 

Categories and Ranking

Elastic Search
Ranking in Cloud Data Integration
10th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
72
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 August 2025, in the Cloud Data Integration category, the mindshare of Elastic Search is 2.0%, up from 0.7% compared to the previous year. The mindshare of IBM App Connect is 4.9%, up from 3.4% 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
15%
Financial Services Firm
13%
Government
9%
Manufacturing Company
8%
Computer Software Company
15%
Financial Services Firm
14%
Manufacturing Company
12%
Government
7%
 

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: July 2025.
865,484 professionals have used our research since 2012.