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Elastic Search vs Jitterbit Harmony comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Sep 21, 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
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
Jitterbit Harmony improves data integration efficiency, reduces costs, automates tasks, requires less training, and enhances performance, providing high ROI.
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
8.8
Customers commend Jitterbit Harmony support for its responsive, efficient service, detailed guidance, knowledgeable staff, and extensive resources.
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.
 

Scalability Issues

Sentiment score
7.2
Elastic Search is scalable but requires careful infrastructure management for large databases and quick expansion challenges.
Sentiment score
7.8
Users find Jitterbit Harmony reliable and efficient, with smooth implementation and consistent performance for expanding data integration needs.
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.
 

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
6.3
Users praise Jitterbit Harmony for its stability, reliability, ability to handle large data, and strong support, boosting user confidence.
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.
 

Room For Improvement

Elastic Search requires improvements in security, usability, performance, and documentation to address user challenges with integration and scalability.
Users find Jitterbit Harmony needing faster processing, improved support, better integration, stability, clearer documentation, competitive pricing, simpler setup, and regular updates.
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.
 

Setup Cost

Elastic Search provides cost-effective deployment, but premium features and scalability can increase overall enterprise costs.
Jitterbit Harmony provides flexible and cost-effective pricing for different integration needs, requiring direct consultation for customized quotes.
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.
 

Valuable Features

Elastic Search offers powerful search, quick indexing, scalability, and affordability, with integrations for enhanced visualization and data management.
Users praise Jitterbit Harmony's intuitive interface, powerful integration, seamless connectivity, drag-and-drop function, real-time sync, and pre-built connectors.
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.
 

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)
Jitterbit Harmony
Ranking in Cloud Data Integration
24th
Average Rating
8.6
Reviews Sentiment
7.3
Number of Reviews
13
Ranking in other categories
Data Integration (52nd), Workload Automation (36th), Integration Platform as a Service (iPaaS) (17th)
 

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 Jitterbit Harmony is 1.3%, up from 0.9% 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%
Jitterbit Harmony1.3%
Other96.7%
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.
Mohamed Abd Kader - PeerSpot reviewer
An easy-to-setup solution with good stability
We use Jitterbit to connect cloud solutions with our on-premises ERP system We connect cloud solutions to our on-premise ERP system easily using Jitterbit. It is its most valuable feature.  The solution's API management capabilities need improvement. We have been using the solution for almost…
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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
18%
Computer Software Company
18%
Comms Service Provider
10%
Non Profit
6%
 

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 Business8
Midsize Enterprise3
Large Enterprise1
 

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...
Ask a question
Earn 20 points
 

Also Known As

Elastic Enterprise Search, Swiftype, Elastic Cloud
Jitterbit, Jitterbit Harmony
 

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.
LA Metro, Mophie, Club Auto, University of Miami, Exostar, Dialog Direct, Avero, Greenpoint Technologies, Berklee Online, Odyssey, KeyedIn Solutions, Swish Maintenance, SPP Pumps Limited, Talent Plus, Ricoh Canada, Televerde, Reed Construction Data, Sika US, Sunkist Growers
Find out what your peers are saying about Elastic Search vs. Jitterbit Harmony and other solutions. Updated: September 2025.
869,771 professionals have used our research since 2012.