CloverETL vs Matillion Data Productivity Cloud comparison

Javlin and Matillion are both solutions in the Cloud Data Integration category. Additionally, 100% of Javlin users are willing to recommend the solution, compared to 92% of Matillion users who would recommend it.

CloverETL

Read 2 CloverETL reviews

1,146 Views
699 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

CloverETL

Matillion Data Productivity...

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Executive SummaryUpdated on Jan 18, 2026

CloverETL and Matillion Data Productivity Cloud compete in the data integration platform category. Matillion seems to have the upper hand due to its extensive feature set and value, especially in cloud-centric environments.

Features: CloverETL offers flexible data transformation capabilities, robust connectivity, and effective customer support. Matillion Data Productivity Cloud provides an intuitive design, integration with cloud services, and enhanced cloud data environment support.

Ease of Deployment and Customer Service: CloverETL has a straightforward deployment process with commendable support. Matillion Data Productivity Cloud provides a cloud-native deployment experience with strong support for AWS, Azure, and Google Cloud.

Pricing and ROI: CloverETL offers a budget-friendly setup with favorable ROI, particularly for smaller or on-premise projects. Matillion Data Productivity Cloud, with potentially higher initial costs, delivers significant ROI through cloud scalability and advanced capacity.

To learn more, read our detailed CloverETL vs. Matillion Data Productivity Cloud Report (Updated: March 2026).

Buyer's Guide

CloverETL vs. Matillion Data Productivity Cloud

March 2026

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Helped 885,667 peers since 2012

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

Ranking in other categories

Data Integration (57th), Data Visualization (34th)

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)

Featured Reviews

it_user856614

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…

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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

"Connectivity to various data sources: The ability to extract data from different data sources gives greater flexibility."

"Server features for scheduler: It is very easy to schedule jobs and monitor them. The interface is easy to 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."

"No dependence on native language and ease of use."

"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."

"On a new project using Matillion, it took me 10 minutes to set up and begin importing data from Safesforce.com."

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

"I would recommend Matillion ETL for any cloud-based operations."

"It has enabled building a data warehouse within three months from the ground up to support WMS reporting."

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

"It is pretty user-friendly, even for people who aren't super technical."

"It's so intuitive and easy to use you can actually just teach yourself how to use it."

"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)."

More Matillion Data Productivity Cloud pros

Cons

"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."

"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/filled-in code for components; easier/more automated sync between CloverETL Designer and CloverETL Server."

"Resource management: We typically run out of heap space, and even the allocation of high heap space does not seem to be enough."

"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."

"To complete the pipeline, they might want to include some connectors which would put the data into different platforms. This would be helpful."

"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."

"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."

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

"It needs integration with more data sources."

"There are certain functions that are available in other ETL tools which are still not present in Matillion ETL. It would be good to have more features."

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

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

Information not available

"Matillion ETL is expensive."

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

"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."

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

"The product must improve its pricing."

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

"It is not necessarily a cheap solution. However, it's reasonable priced, especially with the smaller machines that we run it on."

"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."

More Matillion Data Productivity Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

30%

Manufacturing Company

13%

Computer Software Company

Retailer

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.

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What needs improvement with Matillion ETL?

The main areas for improvement are AI features and scalability.

See all answers

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Compared 5% of the time

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Compared 4% of the time

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Compared 3% of the time

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Product Reports

Buyer's Guide

Data Integration

March 2026

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Buyer's Guide

Matillion Data Productivity Cloud

March 2026

Matillion Data Productivity Cloud report

Download Matillion Data Productivity Cloud product report

Also Known As

No data available

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

Overview

CloverETL is a rapid, end-to-end data integration solution. Businesses choose CloverETL for its usability and intuitive controls, along with its lightweight footprint, flexibility, and processing speed. Achieving true, rapid data integration means much more than just raw data processing power. Rapid refers to an end-to-end process that begins the moment a data-related problem is recognized to the point when the data is in the right place and form to be analyzed and monetized.

Javlin

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

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

Buyer's Guide

CloverETL vs. Matillion Data Productivity Cloud

March 2026

Free Report: CloverETL vs. Matillion Data Productivity Cloud

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