No more typing reviews! Try our Samantha, our new voice AI agent.

CloverETL vs Matillion Data Productivity Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 18, 2026

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

CloverETL
Average Rating
7.0
Reviews Sentiment
6.8
Number of Reviews
2
Ranking in other categories
Data Integration (58th), Data Visualization (35th)
Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (13th), AI Data Analysis (22nd)
 

Featured Reviews

it_user856614 - PeerSpot reviewer
Lead Programmer at a healthcare company with 10,001+ employees
Very easy to schedule jobs and monitor them, however we run out heap space even with a high allocation
Flexibility: We can bring in data from multiple sources, e.g., databases, text files, JSON, email, XML, etc. This has been very helpful Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility. Server features for scheduler: It is…
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.

Quotes from Members

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

Pros

"Key features include wealth of pre-defined components; all components are customizable; descriptive logging, especially for error messages."
"We switched to CloverETL because of its flexibility to connect to various data sources and no dependence on native language and ease of use."
"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to use."
"No dependence on native language and ease of use.​​"
"Familiar, intuitive GUI coming from a Java development background, in-depth, descriptive, and well-laid-out documentation, responsive support through forums directly from Clover staff, a wealth of customizable pre-defined components, descriptive logging for error messages, and ease of install with a light footprint make it very effective to use."
"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."
"It's been able to do everything we require."
"Matillion ETL helps manage data movement, ingestion, and transformation through pipelines."
"Matillion ETL has great Git integration that is perfect and convenient to use."
"It makes loading and transforming data on Snowflake very fast, easy, and affordable."
"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."
"It has good integrations with Amazon Redshift and other AWS services."
"It has enabled building a data warehouse within three months from the ground up to support WMS reporting."
"The most valuable feature of Matillion ETL is its ease of use. If you have had some experience with other solutions, such as Snowflake, the use of this solution will be simple."
 

Cons

"​Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough.​"
"Its documentation could be improved.​"
"Needs easier automated failure recovery, more and more intuitive auto-generated or filled-in code for components, and easier or more automated sync between CloverETL Designer and CloverETL Server."
"Scalability in Matillion Data Productivity Cloud has some limitations. Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required."
"In the next release, we would like to have connections to more databases."
"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."
"The cost of the solution is high and could be reduced."
"It would be great to have the ability to move windows around to dock in different locations or external windows."
"The product must enhance its near-real-time data capture feature."
"I am looking forward to seeing the expansion of the source range for their data loader product."
"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."
 

Pricing and Cost Advice

Information not available
"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."
"I have heard from my manager and other higher ups, "This product is cheaper than other things on the market," and they have done the research."
"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 was very easy to purchase through the AWS Marketplace, but it was also expensive."
"The pricing depends on what edition the customer opts for. For example, the standard edition is priced at $2.00 per credit. And you are only charged when you use it. You're not charged when it's idle."
"The cost of the solution is high and could be reduced."
"The prices needs to be lower."
"The AWS pricing and licensing are a cost-effective solution for data integration needs."
report
Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.
902,988 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
28%
Manufacturing Company
13%
Computer Software Company
9%
Retailer
6%
Financial Services Firm
12%
Computer Software Company
9%
Manufacturing Company
9%
Construction Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise10
Large Enterprise11
 

Questions from the Community

Ask a question
Earn 20 points
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...
 

Also Known As

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

Overview

 

Sample Customers

IBM, Oracle, MuleSoft, GoodData, Thomson Reuters, salesforce.com, Comcast, Active Network, SHOP.CA
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Find out what your peers are saying about Amazon Web Services (AWS), Informatica, Palantir and others in Cloud Data Integration. Updated: June 2026.
902,988 professionals have used our research since 2012.