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Domo vs Qlik Replicate comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 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
7.5
Domo users report varying ROI, highlighting efficiency and decision-making benefits despite occasional high costs and inadequate returns.
Sentiment score
8.0
Qlik Replicate automates reporting, saves time, reduces database usage, minimizes costs, and improves efficiency compared to AWS services.
I conducted a cost comparison with the AWS service provider, and this option is much cheaper than the Kinesis service offered by AWS.
 

Customer Service

Sentiment score
7.0
Domo's customer service is knowledgeable but sometimes slow, with varying ongoing support and effective direct support channels.
Sentiment score
5.7
Users find Qlik Replicate support slow and inefficient, preferring quicker resolutions and direct contact with representatives, especially for AutoML issues.
While they eventually provide the correct answers, their support for smaller customers could be improved.
Even priority tickets, which should be resolved in minutes, can take days.
 

Scalability Issues

Sentiment score
7.2
Domo offers scalable, cloud-based solutions for diverse roles, supporting large datasets and user growth with robust performance and adaptability.
Sentiment score
7.1
Qlik Replicate is scalable and adaptable, especially in cloud environments, but may require memory adjustments for optimal performance.
Sigma, which is written for Snowflake, scales more easily than Domo.
 

Stability Issues

Sentiment score
7.8
Domo is a reliable cloud-based tool with minimal downtime, strong server performance, and rare access issues for users.
Sentiment score
8.5
Qlik Replicate is highly stable and reliable, efficiently handling large volumes, with seamless recovery despite minor API concerns.
 

Room For Improvement

Domo faces concerns over ease of use, integration, visualization, pricing, ETL tools, user interface, and advanced AI capabilities.
Qlik Replicate needs better UI, error clarity, support, integration, pricing transparency, performance, and marketing to compete effectively.
End users require a license to run their own reports and dashboards, which are fairly expensive.
It is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a maximum of 60%.
 

Setup Cost

Domo's pricing is high but justified by features and integration, suitable for larger enterprises, often requiring negotiation.
Qlik Replicate's pricing is high and less flexible than competitors, suiting larger companies with extensive replication needs.
Domo is expensive compared to other solutions.
Licensing is calculated based on the machine's total capacity rather than actual usage.
 

Valuable Features

Domo offers user-friendly data transformation, visualization, and integration with extensive connectors, handling large data sets efficiently.
Qlik Replicate offers real-time data capture, easy replication, and seamless integration for efficient data management and real-time analytics.
I have been using it for four years and have been able to extract the information I need from it.
Data retrieved from the system can be pushed to multiple places, supporting various divisions such as marketing, loans, and others.
 

Categories and Ranking

Domo
Ranking in Data Integration
46th
Average Rating
7.8
Reviews Sentiment
6.9
Number of Reviews
37
Ranking in other categories
BI (Business Intelligence) Tools (15th), Business Performance Management (15th), Reporting (7th), Data Visualization (9th)
Qlik Replicate
Ranking in Data Integration
13th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
17
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Data Integration category, the mindshare of Domo is 0.5%, up from 0.0% compared to the previous year. The mindshare of Qlik Replicate is 3.1%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

James John Wilson - PeerSpot reviewer
Robust, powerful, and easy to use
There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two. However, they were particular. What I wanted to see was the ability to collapse when you group a set of rows, let's say when you group them by status or health, so you have your red projects grouped up top. I wanted to compress or collapse that group of red and then open the yellow projects and then the green projects. There were a bit more features in the tables than I wanted to see. They have a widget that you can use either in Microsoft PowerPoint to pull over data into your PowerPoints and refresh graphs or charts or metrics or tables. I would love to see that available in Google Slides. I used it successfully in PowerPoint; however, at one company, they were only using Google products, and so that widget didn't help with reporting in slides. Therefore, we had to do a bit more manual work for our quarterly business reviews or monthly business reviews to produce our executive presentations. Sometimes the fonts were difficult to read if you're trying to put a lot of data in a table and show a lot of rows. Sometimes the fonts got too light, and you had to really play with it to try and figure out how to make it readable. One thing I had to do, and I don't know if it's necessarily a bad thing, was when I was running a meeting, I would have to go turn off the data jobs. If I was running a meeting and a lot of times people were scrambling in the background to do their updates even as the meeting was occurring, it would cause the page to render very slowly. It would sometimes pause or freeze. I found that if I went and turned off the status, the data update jobs that we're pulling data from Smartsheet, then the meetings would work more smoothly, and there were no interruptions or delays.
KrishnaBaddam - PeerSpot reviewer
Lightweight tool, ensures that data is replicated across different systems and simplify complex tasks such as defining relationships
Qlik Compose is something that will automate user's overall data modernization. Here data modernization includes data modeling, ETL jobs, etc. But the advantage is users can automate the overall process of data engineering and data modeling through Qlik Compose. I think that's useful when users are able to manage 60% of the workload automated. That will be very useful. That's fantastic. Replicate does not have a great AI capability. AI capabilities are present in Qlik Sense. Qlik Replicate is a very light tool. It is only meant to capture data from the log files, get the data, and transfer it, read that table structure, create the table structure, and transfer the data whenever there is a change. So, it basically integrates with the kernel of the operating system. The way it works is that these replicate tools will integrate with the kernel of the operating system, and they will access the redo log files of the database. The redo log should have access to all the files of the structure of the schema, too. So, using that technique, they redo all the data structures, create a similar structure, and replicate the structure in the target schema, table, and database. After that is done, it will start tracing the instances that are happening. For example, if data is inserted into the table, then an insert is fired on the statement on the table. So, that particular insert is captured. And based on that insert statement, it will pull the SQL query and say, "Okay, there is an insert. I need to get that data." It will get the data from the redo log itself rather than going to a database. Then, it will just pass that transaction into the target system, where it will just insert the data. And this happens instantaneously, within a microsecond. So, if there is an insert, an update, or a delete, everything is transferred immediately. It is picked from the redo log because it comes to the redo log, and then the redo log sends it to Qlik Replicate and Replicate to the target system on which Replicate is installed.
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Top Industries

By visitors reading reviews
Computer Software Company
12%
University
10%
Manufacturing Company
8%
Financial Services Firm
7%
Financial Services Firm
19%
Computer Software Company
11%
Insurance Company
10%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Domo?
All our client SLAs and daily and weekly dashboards are tracked on Domo.
What needs improvement with Domo?
One of the biggest problems is that end users require a license to run their own reports and dashboards, which are fairly expensive. Domo is also not the easiest product to use and is more expensiv...
What do you like most about Qlik Replicate?
The main valuable feature is its real-time change data capture (CDC) capabilities, which process data with minimal latency. There is not much delay. It also performs well with batch-wise data appli...
What needs improvement with Qlik Replicate?
There is complexity involved in the licensing part of this system. It is a core-based licensing, which, especially in the banking industry, results in the system capacity being utilized up to a max...
What is your primary use case for Qlik Replicate?
An example involving the banking project I am currently working on is for a public sector bank in India. Primarily, they are using a database, and the ultra architecture is meant to take a backup o...
 

Comparisons

 

Also Known As

corda
Replicate, Qlik Replicate
 

Overview

 

Sample Customers

Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!
American Cancer Society, Fanzz, SM Retail, Smart Modular, Tangerine Bank, Wellcare
Find out what your peers are saying about Domo vs. Qlik Replicate and other solutions. Updated: April 2025.
847,862 professionals have used our research since 2012.