CloverDX Designer vs Matillion Data Productivity Cloud comparison

The compared CloverDX and Matillion solutions aren't in the same category. CloverDX is ranked #86 in DI , and holds a 0.4% mindshare in the category. Matillion is ranked #10 in CDI , with an average rating of 7.7, and holds a 5.7% mindshare. Additionally, 100% of CloverDX users are willing to recommend the solution, compared to 92% of Matillion users who would recommend it.

CloverDX Designer

Read 1 CloverDX Designer review

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432 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Read 28 Matillion Data Productivity Cloud reviews

4,709 Views
2,072 Comparison Views

92% willing to recommend

CloverDX Designer

Matillion Data Productivity...

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Executive SummaryUpdated on Jan 18, 2026

Matillion Data Productivity Cloud and CloverDX Designer are competing products in the data integration space. Matillion seems to have an upper hand in ease of use and cloud deployment, while CloverDX excels in customization and advanced data transformation capabilities.

Features: Matillion offers powerful ETL capabilities, seamless integration with cloud services, and scalability within a cloud-native architecture. CloverDX stands out with advanced data transformation tools, extensive customization options, and ability to cater to complex workflows.

Ease of Deployment and Customer Service: Matillion is known for straightforward cloud-based deployment and responsive customer support. CloverDX requires a more intricate setup process due to its advanced customization features, yet provides comprehensive customer service to support its users' complex needs.

Pricing and ROI: Matillion offers lower setup costs and quicker ROI due to efficient deployment and operation. CloverDX, although potentially having higher initial setup costs, offers significant ROI for businesses with complex data needs demanding high customization.

To learn more, read our detailed Data Integration Report (Updated: March 2026).

Buyer's Guide

Data Integration

March 2026

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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

CloverDX Designer

Average Rating

7.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (86th)

Matillion Data Productivity...

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Cloud Data Integration (10th), AI Data Analysis (14th)

Mindshare comparison

While both are Data Integration and Access solutions, they serve different purposes. CloverDX Designer is designed for Data Integration and holds a mindshare of 0.4%, up 0.1% compared to last year.
Matillion Data Productivity Cloud, on the other hand, focuses on Cloud Data Integration, holds 5.7% mindshare, up 3.3% since last year.

Data Integration Mindshare Distribution
Product	Mindshare (%)
CloverDX Designer	0.4%
SSIS	3.6%
Informatica Intelligent Data Management Cloud (IDMC)	3.6%
Other	92.4%

Data Integration

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Matillion Data Productivity Cloud	5.7%
AWS Glue	8.8%
AWS Database Migration Service	7.4%
Other	78.1%

Cloud Data Integration

Featured Reviews

reviewer1518951

Data professional at a financial services firm with 1,001-5,000 employees

Simple, stable, and allows us to handle data from various sources, but needs enterprise features for logging, recoverability, and monitoring

If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler.

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Jitendra Jena

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.

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Quotes from Members

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

Pros

"Its simplicity and the way it handles graphs are the most valuable features."

"Matillion ETL has great Git integration that is perfect and convenient to use."

"Matillion ETL is one hundred percent stable."

"The product is quite stable and can handle complex data integration tasks well."

"Matillion's technical support is excellent."

"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."

"Compared to the likes of traditional ETLs, like Informatica, SnapLogic, and Talend, or even raw Python scripts, this product needs no improvement, as it is so much better."

"The simplicity of this tool is nice. It has a good graphical user interface. You can also do a lot of generic stuff in the tool. If there is good connectivity to a cloud database, such as Snowflake, and you can have a lot of Snowflake functionality in the tool."

"It makes loading and transforming data on Snowflake very fast, easy, and affordable."

More Matillion Data Productivity Cloud pros

Cons

"If I could give any advice to the guys who are developing it, I would suggest them to really look at the enterprise features, such as being able to log what's going on, being able to capture the current state of processing, and being able to recover from error situations. So, there should be a focus on logging, recoverability, and monitoring. We should be able to monitor what's going on, and in case of any issues, we should be able to recover and restart processing and other things. For scalability and performance, I would probably suggest the Pushdown feature so that you can do the transformation directly on the data source. You do not need to do that calculation within the ETL server. For this, you should be aware of the type of data because each database or kind of storage, such as Hadoop, has its own ANSI standard or language, such as SQL. Microsoft, Oracle, and IBM have their own language. Based on the feedback that I have got, its initial setup takes some time. It could perhaps be simpler."

"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."

"Sometimes, we have issues with the solution's stability and need to restart it for three weeks or more."

"The tool's lineage is very weak."

"There have been some issues with stability over the first year, but Matillion support is very responsive."

"More frequent releases are needed, due to API changes from Google, Marketo, and Facebook."

"It would be great to have the ability to move windows around to dock in different locations or external windows."

"Performance can be improved for efficiency, and it can be made faster."

"Ideally, I would like it to integrate with Secrets Manager as well as the AWS."

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

"Its price and value for money would be okay for our purpose if there were some additional features."

"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 cost of the solution is high and could be reduced."

"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."

"I think it is cost conscious. It used to be very cheap and they have more recently bumped up the pricing, so it is competitive now."

"The solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running."

"Its price depends on what you expect. You pay on a monthly basis, but there is a possibility to have special contracts depending on the installation."

"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."

More Matillion Data Productivity Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

11%

Computer Software Company

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	10
Large Enterprise	11

Questions from the Community

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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.

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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.

See all answers

What needs improvement with Matillion ETL?

The main areas for improvement are AI features and scalability.

See all answers

Comparisons

SAP Data Services vs CloverDX Designer

Compared 59% of the time

SSIS vs CloverDX Designer

Compared 41% of the time

More CloverDX Designer Competitors

Denodo vs Matillion Data Productivity Cloud

Compared 10% of the time

MuleSoft Anypoint Platform vs Matillion Data Productivity Cloud

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Matillion Data Productivity Cloud

Compared 5% of the time

Skyvia vs Matillion Data Productivity Cloud

Compared 4% of the time

Rivery vs Matillion Data Productivity Cloud

Compared 3% of the time

More Matillion Data Productivity Cloud Competitors

Product Reports

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Data Integration

March 2026

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Buyer's Guide

Matillion Data Productivity Cloud

March 2026

Matillion Data Productivity Cloud report

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Also Known As

No data available

Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery

Overview

We help clients build and manage better data pipelines, with the CloverDX Data Management Platform and our in-house team of data experts.

Founded in 2007, we now have offices in the US, UK and Czech Republic, and work with some of the world’s leading companies in industries such as finance, healthcare and consulting.

CloverDX

Matillion Data Productivity Cloud features an intuitive graphical interface, seamless AWS integration, and efficient data management. Its tools streamline complex tasks for SFDC, RDS, Marketo, Facebook, and Google AdWords.

Matillion Data Productivity Cloud provides fast transformations with built-in verification, easy scheduling, and sampling. With automatic scalability and diverse data source support, it simplifies complex data tasks. Users benefit from cloud data warehousing and integrating data into Snowflake while appreciating its ease of use by non-technical teams. Enhancements can focus on frequent API adjustments, improved documentation, faster performance with less latency, and better error handling.

What are the key features of Matillion Data Productivity Cloud?

User-Friendly Interface: Simplifies interaction for non-technical users with a graphical interface.
Seamless Integration: Works smoothly with AWS, SFDC, RDS, Marketo, Facebook, and Google AdWords.
Automatic Scalability: Efficiently manages varying workloads with scale-up and down capabilities.
Efficient Data Handling: Streamlines transformations, scheduling, and sample data verifications.
Diverse Data Source Support: Easily integrates multiple data sources for streamlined processes.

What benefits and ROI should users seek in reviews?

Ease of Use: Reduces complexity for non-technical teams with intuitive operation.
Performance Efficiency: Fast data processing and transformations enhance productivity.
Cloud Compatibility: Supports integration with cloud platforms for versatile data solutions.
Time-Saving Scheduling: Automates data tasks, allowing users to focus on other priorities.
Scalability: Automatically adjusts to workload needs, optimizing resource use and cost.

In industries such as technology, finance, and healthcare, Matillion Data Productivity Cloud is implemented to streamline ETL processes, optimize data pipeline construction, and enhance data migration efforts. It supports efficient data loading and integration between cloud and on-premises databases, aiding industries in managing data-driven projects.

Matillion

Sample Customers

Allant Group, NDP, Porch, GoodData

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 Microsoft, Informatica, Qlik and others in Data Integration. Updated: March 2026.

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