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Matillion Data Productivity Cloud vs Qlik Compose comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 12, 2025

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (8th)
Qlik Compose
Average Rating
7.6
Reviews Sentiment
6.5
Number of Reviews
12
Ranking in other categories
Data Integration (38th)
 

Featured Reviews

Jitendra Jena - PeerSpot reviewer
Easy integration and workflow proposals streamline processes
The predefined connectors eliminate the need to write code for connectivity. If you have a predefined connector, it is easy to use with plug and play functionality. The processing time and ease of use are significant benefits. As everyone is moving into AI integration, it will definitely help. When creating workflows, they can propose solutions directly.
Sahil Taneja - PeerSpot reviewer
Easy matching and reconciliation of data
The initial setup was easy for the data warehousing concept. But for a person who is new to ETL and warehousing concepts, it may take some time. If someone is familiar with these concepts, they could understand and learn the tool quickly. However, compared to other tools, the UI is complex. It would be helpful to have a better UI and documentation for new users. As of now, there is a challenge in learning the Compose tool for new users altogether. Qlik Compose was deployed on-premises. But the servers, like the SQL servers were maintained on the cloud—the managed instances.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It has good integrations with Amazon Redshift and other AWS services."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"It has helped us to get onto the cloud quickly."
"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"Matillion ETL is one hundred percent stable."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"It is a scalable solution."
"As long as you pick the solution that best fits with your requirements, you won't find that performance is a problem. It's good."
"Qlik Compose is good enough. It is user-friendly and intuitive."
"It can scale."
"It's a stable solution."
"The technical support is very good. I rate the technical support a ten out of ten."
"There were many valuable features, such as extracting any data to put in the cloud. For example, Qlik was able to gather data from SAP and extract SAP data from the platforms."
"I like modeling and code generation. It has become a pretty handy tool because of its short ideation to delivery time. From the time you decide you are modeling a data warehouse, and once you finish the modeling, it generates all the code, generates all the tables. All you have to do is tick a few things, and you can produce a fully functional warehouse. I also like that they have added all the features I have asked for over four years."
 

Cons

"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."
"When using the SQL loader type there were not a lot of pre-processing features for the data. For example, if there is a table with twenty columns, but we only want to load ten columns. In that case, we can use a security script to select the specific columns needed. However, if we want to perform extensive pre-processing of the data, I faced some challenges with Matillion ETL. I did not encounter many challenges, but my overall experience is limited as I only have three years of experience."
"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."
"The product must enhance its near-real-time data capture feature."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"My issues with the solution's stability are owing to the fact that it has certain bugs causing issues in some functionalities that should be working."
"When processing data from certain tables with a large volume of data, we encounter significant delays. For instance, when dealing with around one million records, it typically takes three to four hours. To address this, I aim to implement performance improvements across all tables, ensuring swift processing similar to those that are currently complete within seconds. The performance issue primarily arises when we analyze the inserts and updates from the source, subsequently dropping the table. While new insertions are handled promptly, updates are processed slowly, leading to performance issues. Despite consulting our Qlik vendors, they were unable to pinpoint the exact cause of this occurrence. Consequently, I am seeking ways to optimize performance within Qlik Compose, specifically concerning updates."
"Qlik's ETL and data transformation could be better."
"There is some scope for improvement around the documentation, and a better UI would definitely help."
"It could enhance its capabilities in the realm of self-service options as currently, it is more suited for individuals with technical proficiency who can create pages using it."
"For more complex work, we are not using Qlik Compose because it cannot handle very high volumes at the moment. It needs the same batching capabilities that other ETL tools have. We can't batch the data into small chunks when transforming large amounts of data. It tries to do everything in one shot and that's where it fails."
"The solution has room for improvement in the ETL. They have an ETL, but when it comes to the monitoring portion, Qlik Compose doesn't provide a feature for monitoring."
"I believe that visual data flow management and the transformation function should be improved."
 

Pricing and Cost Advice

"Matillion ETL is expensive."
"The prices needs to be lower."
"It is cost-effective. Based on our use case, it's efficient and cheap. It saves a lot of money and our upfront costs are less."
"It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."
"The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running."
"A rough estimation of the cost is around 20,000 dollars a month, however, this is dependent on the machine used and how Matillion ETL is used."
"The price of Matillion ETL is reasonable."
"The product must improve its pricing."
"On a scale of one to ten, where one is cheap, and ten is very expensive, I rate the solution a six."
"While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us."
"The price of the solution is expensive."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
15%
Manufacturing Company
9%
Retailer
6%
Financial Services Firm
16%
Government
10%
Manufacturing Company
9%
Insurance Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise3
Large Enterprise6
 

Questions from the Community

What do you like most about Matillion ETL?
The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand.
What is your experience regarding pricing and costs for Matillion ETL?
The pricing is managed by the tooling team. The pricing is moderate, neither expensive nor cheap.
What needs improvement with Matillion ETL?
The main areas for improvement are AI features and scalability.
Which ETL tool would you recommend to populate data from OLTP to OLAP?
There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cu...
What do you like most about Qlik Compose?
The most valuable is its excellence as a graphical data representation tool and the versatility it offers, especially with drill-down capabilities.
What is your experience regarding pricing and costs for Qlik Compose?
While they outperform Tableau, there's room for improvement in Qlik's pricing structures, especially for corporate clients like us.
 

Also Known As

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
Compose, Attunity Compose
 

Overview

 

Sample Customers

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
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Find out what your peers are saying about Matillion Data Productivity Cloud vs. Qlik Compose and other solutions. Updated: September 2025.
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