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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
6.2
Organizations report increased efficiency and ROI from Elastic Search, with proper implementation and data integration being crucial.
Sentiment score
7.2
IBM App Connect enhances ROI and operational efficiency with integration, requiring skilled personnel for optimal long-term benefits.
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's customer service is supported by a strong community and resources, though response times can be slow.
Sentiment score
6.6
IBM App Connect's customer support is mostly praised, with effective escalation, though first-tier and onsite assistance require improvement.
 

Scalability Issues

Sentiment score
7.2
Elastic Search offers strong scalability and ease of use but may face challenges with large databases and complex indexes.
Sentiment score
7.4
IBM App Connect is praised for scalability and flexibility, despite some challenges with Hypervisor Edition and XML payload sizes.
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.
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 for enterprise use, with occasional issues in large-scale data or new releases.
Sentiment score
7.6
IBM App Connect is praised for stability, with rare issues quickly resolved, maintaining high user satisfaction and performance.
The data transfer sometimes exceeded the bandwidth limits without proper notification, which caused issues.
The stability of Elasticsearch was very high.
 

Room For Improvement

Elastic Search users seek improved security, scalability, integration, and support, alongside better UI, onboarding, and licensing enhancements.
IBM App Connect needs better logging, support, connectors, UI, command line integration, and simpler installation to address user concerns.
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.
This can create problems for new developers because they have to quickly switch to another version.
I find it particularly good for on-premises and now cloud use.
 

Setup Cost

Elastic Search is cost-effective initially but can become expensive with additional nodes and premium features despite flexible licensing.
IBM App Connect pricing is high, dependent on volume and status, yet offers flexibility and quality justifying its cost.
We used the open-source version of Elasticsearch, which was free.
 

Valuable Features

ELK offers fast search, scalable architecture, advanced analytics, and integration with Logstash, X-Pack, for flexible, cost-effective enterprise data management.
IBM App Connect offers user-friendly integration with minimal coding, scalability, and security, supporting complex environments and efficient automation.
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.
Configuring Elasticsearch is much easier compared to comprehending other SIEM tools like Splunk.
The features I find most valuable are message routing, message transformation, and protocol translation.
 

Categories and Ranking

Elastic Search
Ranking in Cloud Data Integration
11th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
69
Ranking in other categories
Indexing and Search (1st), Search as a Service (1st), Vector Databases (2nd)
IBM App Connect
Ranking in Cloud Data Integration
6th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
24
Ranking in other categories
No ranking in other categories
 

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 IBM App Connect is 4.8%, up from 3.3% 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.
Mehdi El Filahi - PeerSpot reviewer
Offers flexible adapters, good scalability but logging can be difficult at times
There is room for improvement in the logging messages. Sometimes, if you put someone new into App Connect, they can abandon it the same day. The logging is really painful. However, IBM has made efforts to integrate with Elasticsearch for logging, so that's an improvement. Overall, the logging can be difficult at times. One more important point is that if IBM improves its CI/CD capabilities, it will make a big difference. Right now, I have to create my own CI/CD setup from scratch for every client, which is inefficient. Back in 2013, I worked with Sonic ESB, and even then, it had CI/CD with Maven. With App Connect, you need to build everything yourself when using tools like Jenkins, Bamboo, or CircleCI. IBM really needs to provide official support for this.
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Top Industries

By visitors reading reviews
Computer Software Company
17%
Financial Services Firm
15%
Government
9%
Manufacturing Company
8%
Educational Organization
45%
Computer Software Company
10%
Financial Services Firm
9%
Manufacturing Company
5%
 

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 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?
IBM App Connect's pricing is high compared to other products.
What is your primary use case for IBM App Connect?
I have been using IBM App Connect for application integration.
 

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: April 2025.
850,236 professionals have used our research since 2012.