CloverDX Designer vs Matillion Data Productivity Cloud comparison

The compared CloverDX and Matillion solutions aren't in the same category. CloverDX is ranked #78 in DI , and holds a 0.3% mindshare in the category. Matillion is ranked #8 in CDI , with an average rating of 8.0, and holds a 5.1% 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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245 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Read 28 Matillion Data Productivity Cloud reviews

3,583 Views
1,397 Comparison Views

92% willing to recommend

CloverDX Designer

Matillion Data Productivity...

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Executive SummaryUpdated on Oct 12, 2025

Matillion Data Productivity Cloud and CloverDX Designer compete in data integration and management. CloverDX often seems superior due to its advanced features and perceived value.

Features: Matillion offers cloud-native integration, simplicity, and scalability, ideal for organizations prioritizing these elements. CloverDX provides customizable data transformation, rich visualization tools, and flexibility, attracting those needing intricate data processes.

Ease of Deployment and Customer Service: Matillion's cloud-based model eases deployment with minimal infrastructure concerns and robust customer support. CloverDX offers a versatile platform with on-premises and cloud options, possibly requiring more initial setup, and its customer support offers in-depth technical assistance.

Pricing and ROI: Matillion's straightforward pricing and strong ROI appeal to cost-conscious businesses, balancing investment and return. CloverDX's higher initial costs are justified by extensive capabilities promising substantial ROI in complex data environments.

To learn more, read our detailed Data Integration Report (Updated: September 2025).

Buyer's Guide

Data Integration

September 2025

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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 (78th)

Matillion Data Productivity...

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Cloud Data Integration (8th)

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 0.3%, up 0.1% compared to last year.
Matillion Data Productivity Cloud, on the other hand, focuses on Cloud Data Integration, holds 5.1% mindshare, up 3.8% since last year.

Data Integration Market Share Distribution
Product	Market Share (%)
CloverDX Designer	0.3%
Informatica PowerCenter	6.0%
SSIS	5.7%
Other	88.0%

Data Integration

Cloud Data Integration Market Share Distribution
Product	Market Share (%)
Matillion Data Productivity Cloud	5.1%
AWS Glue	14.4%
AWS Database Migration Service	11.1%
Other	69.4%

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."

"It's been able to do everything we require."

"We allow non-technical people to use Matillion to load data into our data warehouse for reporting. Thus, it is easy enough to use that we don't always have to get a technical person involved in setting up a data movement (ETL)."

"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."

"The solution's most valuable feature is the CDC (Change Data Capture) component."

"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."

"The product has a good user interface."

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

"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."

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."

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

"It needs integration with more data sources."

"I found some of the more complex aspects of ETL challenging, but I grasped the concepts fairly quickly."

"The tool's lineage is very weak."

"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."

"Matillion’s on-premises capabilities don’t allow you to build something customized."

"I am looking forward to seeing the expansion of the source range for their data loader product."

"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."

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."

"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."

"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 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."

"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."

"The product must improve its pricing."

"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."

"Matillion ETL has a pay-as-you-go pricing model of a few dollars per hour of runtime."

"Matillion ETL is expensive."

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

16%

Computer Software Company

15%

Manufacturing Company

Retailer

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.

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What needs improvement with Matillion ETL?

The main areas for improvement are AI features and scalability.

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Comparisons

No data available

AWS Glue vs Matillion Data Productivity Cloud

Compared 8% of the time

Oracle Data Integrator (ODI) vs Matillion Data Productivity Cloud

Compared 7% of the time

SnapLogic vs Matillion Data Productivity Cloud

Compared 5% of the time

Azure Data Factory vs Matillion Data Productivity Cloud

Compared 5% of the time

Workato vs Matillion Data Productivity Cloud

Compared 5% of the time

More Matillion Data Productivity Cloud Competitors

Product Reports

Buyer's Guide

Data Integration

September 2025

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Buyer's Guide

Matillion Data Productivity Cloud

September 2025

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, Talend and others in Data Integration. Updated: September 2025.

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We monitor all Data Integration reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.