Matillion Data Productivity Cloud vs Talend Stitch ETL comparison

Matillion and Talend are both solutions in the Cloud Data Integration category. Matillion is ranked #6 with an average rating of 8.3, while Talend is ranked #29. Matillion holds a 3.4% mindshare in CDI, compared to Talend’s 0.2% mindshare. Additionally, 92% of Matillion users are willing to recommend the solution, compared to 100% of Talend users who would recommend it.

Matillion Data Productivity...

Read 27 Matillion Data Productivity Cloud reviews

1,597 Views
1,090 Comparison Views

92% willing to recommend

Talend Stitch ETL

Read 1 Talend Stitch ETL review

101 Views
70 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Talend Stitch ETL

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Executive SummaryUpdated on Mar 31, 2025

Matillion Data Productivity Cloud and Talend Stitch ETL compete in the ETL and data integration space. Matillion holds an advantage in ease of deployment and customer support, while Talend Stitch is more cost-effective with a robust feature set.

Features: Matillion focuses on cloud-native data transformation, emphasizing scalability and a wide range of integrations. It is recognized for powerful transformation capabilities. Talend Stitch offers strong data connectivity with extensive transformation capabilities and prioritizes rapid data extraction and loading.

Ease of Deployment and Customer Service: Matillion Data Productivity Cloud provides seamless cloud-based deployment with strong customer service for smooth integration with existing architecture. Talend Stitch presents a simplified, agile deployment process that allows quick setup but offers less comprehensive support. Matillion is known for being user-friendly with effective customer service, while Talend stands out for rapid deployment.

Pricing and ROI: Matillion Data Productivity Cloud may incur higher upfront setup costs but leads to higher ROI through effective data transformation and scalability. Talend Stitch presents a more economical initial setup with ROI driven by low-cost data connectivity and operational speed.

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

Buyer's Guide

Cloud Data Integration

March 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

Matillion Data Productivity...

Ranking in Cloud Data Integration

6th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Talend Stitch ETL

Ranking in Cloud Data Integration

29th

Average Rating

9.0

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Cloud Data Integration category, the mindshare of Matillion Data Productivity Cloud is 3.4%, down from 4.7% compared to the previous year. The mindshare of Talend Stitch ETL is 0.2%, down from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

Featured Reviews

Tomáš Hronek

Data Engineer at Merck

Used for wrangling or transforming data from sources like S3 and Databricks

I use Matillion ETL for wrangling or transforming data from sources like S3 and Databricks The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation. Sometimes, we have issues with the solution's stability and need to restart it for…

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Radovan Bacovic

Senior Data Engineer at GitLab

Fire-and-forget solution with a great infrastructure

Generally speaking, support is a pain point. In the next release, I would love to see a change in support from the current chat to a more comprehensive portal. I would also like to see more exotic connectors. Stitch is based on a single framework, which means you can build your own tab. That is not a problem and I have done it in the past for some use cases with open-source tools and it was great, but it would still be nice to have a shortcut. With more exotic connectors, we could put in minimal effort into introducing new integrations, which would enable us to quickly gather more customers in the long run. You need at least one week to do the integration. What Stitch can do is open the framework for how we can build or contribute to new integrators. They could even make it open-source.

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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

"The technical support treats us well. They already have a support portal, and they are responsive, which helps."

"The product's initial setup phase was easy."

"It is an incredibly user-friendly and intuitive tool, making the learning curve quite smooth"

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

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

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

"It has good integrations with Amazon Redshift and other AWS services."

"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."

More Matillion Data Productivity Cloud pros

"The most valuable feature of Stitch for us is ease of use. This solution is fire-and-forget. All an organization has to do is set up the connection or integration and move on."

Cons

"The product must enhance its near-real-time data capture feature."

"In the next release, we would like to have connections to more databases."

"While the UI is good, it could be improved in its efficiency and made easier to use."

"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."

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

"Unlike Snowflake which automatically takes care of upgrading to the latest version and includes additional features, with Matillion ETL we need to do this ourselves."

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

More Matillion Data Productivity Cloud cons

"Generally speaking, support is a pain point. In the next release, I would love to see a change in support from the current chat to a more comprehensive portal."

Pricing and Cost Advice

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

"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."

"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."

"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."

"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."

"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."

"The price of Matillion ETL is reasonable."

More Matillion Data Productivity Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Computer Software Company

15%

Manufacturing Company

Healthcare Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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 solution's pricing is not based on the licensing cost but on the running hours when the Matillion instance is up and running. Its pricing model is different from the traditional pricing models ...

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What needs improvement with Matillion ETL?

Depending on the use case, the solution's pricing could be improved. Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems.

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Comparisons

Azure Data Factory vs Matillion Data Productivity Cloud

Compared 14% of the time

AWS Glue vs Matillion Data Productivity Cloud

Compared 10% of the time

SSIS vs Matillion Data Productivity Cloud

Compared 9% of the time

Snowflake vs Matillion Data Productivity Cloud

Compared 6% of the time

Oracle Data Integrator (ODI) vs Matillion Data Productivity Cloud

Compared 5% of the time

More Matillion Data Productivity Cloud Competitors

No data available

Product Reports

Buyer's Guide

Matillion Data Productivity Cloud

April 2025

Matillion Data Productivity Cloud report

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Buyer's Guide

Cloud Data Integration

March 2025

Download Talend Stitch ETL product report

Also Known As

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

Stitch

Overview

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

Stitch is a cloud ETL service that replicates data from more than 90 applications and databases and Looker is a powerful business intelligence and data analytics platform. To get the most out of Looker, data needs to be consolidated into a data warehouse that Looker can easily access.

Talend

Sample Customers

Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc

AB InBev, Accolade, Accor, AstraZeneca, Beachbody

Buyer's Guide

Cloud Data Integration

March 2025

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