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Matillion Data Productivity Cloud vs Query.ai comparison

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Comparison Buyer's Guide

Executive Summary

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...
Ranking in AI Data Analysis
25th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (15th)
Query.ai
Ranking in AI Data Analysis
28th
Average Rating
8.0
Reviews Sentiment
4.3
Number of Reviews
3
Ranking in other categories
Security Analytics (5th), AI Security (29th)
 

Mindshare comparison

As of October 2026, in the AI Data Analysis category, the mindshare of Matillion Data Productivity Cloud is 0.5%, down from 4.5% compared to the previous year. The mindshare of Query.ai is 0.4%. It is calculated based on PeerSpot user engagement data.
AI Data Analysis Mindshare Distribution
ProductMindshare (%)
Matillion Data Productivity Cloud0.5%
Query.ai0.4%
Other99.1%
AI Data Analysis
 

Featured Reviews

Jitendra Jena - PeerSpot reviewer
Director Axtria - Ingenious Insights! at Axtria - Ingenious Insights
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.
reviewer2834415 - PeerSpot reviewer
DevSecOps engineer at a financial services firm with 10,001+ employees
Query automation has reduced investigation time and frees our team to focus on complex DevOps tasks
The best features Query.ai offers make anything with queries much easier, and it ensures that it is very optimistically correct with whatever it is doing. It also delivers access throughout real-time and historical data, making it really quick and fast to act upon. The real-time and historical data access from Query.ai helps me in my work by allowing me to go through queries quicker, so even if there are errors anywhere, detection happens pretty fast. Because it is on automation and the investigation is done really quickly, it saves a lot of my time. Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work. The reduction in workload due to Query.ai has made things easier, especially every time we need to investigate why an SQL query is not loading or if it is duplicating. It is especially effective during access management to either provision or de-provision access for users.

Quotes from Members

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

Pros

"The solution's most valuable feature is the CDC (Change Data Capture) component."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"The technical support treats us well. They already have a support portal, and they are responsive, which helps."
"The product has a good user interface."
"Matillion's technical support is excellent."
"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"It has improved the costs of managing my customer’s data."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"Time saving and accuracy are the main benefits; in my data mart and data lakes project, Query.ai has been very useful, with all transformations automated, which had a huge impact on our entire project."
"Query.ai has positively impacted my organization by being very appreciative for what it has done and how there is lesser work task on ourselves, and we could be focusing on more things because as DevOps, we have a lot of work."
"Query.ai helps reduce costs and improve security in my organization, though I do not have the actual numbers, but the impact was significant."
 

Cons

"While the UI is good, it could be improved in its efficiency and made easier to use."
"Matillion’s on-premises capabilities don’t allow you to build something customized."
"The cost of the solution is high and could be reduced."
"In the next release, we would like to have connections to more databases."
"Performance can be improved for efficiency, and it can be made faster."
"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."
"It can have multi-environment support. We should be able to deploy it in different environments. Its integration with SAP connection is not so nice, which should be improved. It can also support an on-prem database."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
"Query.ai performs well, but there are other software options that do auditing a little better."
"Probably Query.ai could be a little more optimized, but it is good."
"I felt the pricing is somewhat higher."
 

Pricing and Cost Advice

"The product must improve its pricing."
"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."
"The cost of the solution is high and could be reduced."
"Matillion ETL is expensive."
"The solution is very cheap. You're paying $2.50 an hour and if you set your service up, which you can do, you're not getting charged. Currently, our ETL process is just an overnight process that runs for about an hour. I can start and stop my server just for an hour if I want to and spent $2.50 a day for an ETL solution. There are no additional costs."
"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 was procured through the AWS Marketplace because it keeps things simple. They offer retail-like checkout and bill through your existing Amazon Web Services account."
"The absence of licensing commitments makes it easy to experiment with the tool, and if we decide it's not suitable, we can simply stop the ETL instance and cease incurring charges."
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Top Industries

By visitors reading reviews
Construction Company
12%
Manufacturing Company
10%
Financial Services Firm
9%
Outsourcing Company
9%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise9
Large Enterprise12
No data available
 

Questions from the Community

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.
What is your primary use case for Matillion ETL?
For the ETL, we are using Matillion Data Productivity Cloud. We have skilled resources for Matillion Data Productivity Cloud, which is why we are using it. The infrastructure is provided by the cus...
What is your experience regarding pricing and costs for Query.ai?
My experience with pricing, setup cost, and licensing was good. I felt the pricing is somewhat higher.
What needs improvement with Query.ai?
Probably Query.ai could be a little more optimized, but it is good.
What is your primary use case for Query.ai?
Initially, I started by checking out what Query.ai is about, and from there, my main use case has been for data queries and how to edit a query. The main use case for Query.ai that I wish it could ...
 

Also Known As

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
No data available
 

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. Query.ai and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.