IBM Cloud Pak for Integration vs Matillion Data Productivity Cloud comparison

IBM and Matillion are both solutions in the Cloud Data Integration category. IBM is ranked #15 with an average rating of 8.5, while Matillion is ranked #6 with an average rating of 8.3. IBM holds a 2.1% mindshare in CDI, compared to Matillion’s 3.4% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 96% of Matillion users who would recommend it.

IBM Cloud Pak for Integration

Read 5 IBM Cloud Pak for Integration reviews

649 Views
474 Comparison Views

100% willing to recommend

Matillion Data Productivity...

Read 26 Matillion Data Productivity Cloud reviews

1,597 Views
1,090 Comparison Views

96% willing to recommend

IBM Cloud Pak for Integration

Matillion Data Productivity...

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 31, 2025

Matillion Data Productivity Cloud and IBM Cloud Pak for Integration are competing in the data processing and integration space. While Matillion is praised for affordability and support, IBM stands out with a robust feature set, indicating it might offer more functionality and value.

Features: Matillion Data Productivity Cloud offers intuitive data transformation, cloud platform integration, and ease of orchestration. IBM Cloud Pak for Integration supports complex enterprise integrations, provides a vast array of APIs, and offers advanced connector capabilities suitable for diverse tasks.

Room for Improvement: Matillion could enhance its capabilities for supporting more complex enterprise scenarios, provide more advanced API integrations, and improve handling of highly complex data architectures. IBM Cloud Pak for Integration might improve its ease of use, simplify its initial setup process, and offer more user-friendly interfaces to enhance user experience.

Ease of Deployment and Customer Service: Matillion is praised for straightforward deployment and extensive support resources that ensure a seamless onboarding experience. IBM Cloud Pak for Integration, despite offering comprehensive deployment options, is often perceived as complex because of its wide range of integration capabilities. However, IBM's customer service is regarded as reliable and supportive during deployment.

Pricing and ROI: Matillion is noted for its competitive pricing, providing rapid ROI due to efficient data handling. In contrast, IBM Cloud Pak for Integration is perceived to have a higher initial setup cost, but its extensive feature set justifies the investment through long-term organizational value.

To learn more, read our detailed IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud Report (Updated: March 2025).

Buyer's Guide

IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud

March 2025

Download the complete report

Helped 846,617 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

IBM Cloud Pak for Integration

Ranking in Cloud Data Integration

15th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

API Management (24th)

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

Mindshare comparison

As of April 2025, in the Cloud Data Integration category, the mindshare of IBM Cloud Pak for Integration is 2.1%, up from 1.6% compared to the previous year. The mindshare of Matillion Data Productivity Cloud is 3.4%, down from 4.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration

Featured Reviews

Neelima Golla

Senior Software Engineer at NessPRO Italy

A hybrid integration platform that applies the functionality of closed-loop AI automation

I recommend using it because, in today's context, the cloud plays a significant role. Within the same user interface, you can develop applications and manage multiple applications, making it a more user-friendly option. Moreover, you can explore various other technologies while deploying on the cloud, broadening your knowledge of cloud technologies. In my case, the transition led to my learning of Kubernetes, enabling multi-scaling and expanding my technical skills. It was a valuable experience, and I had the opportunity to learn many new things during the migration process. I can easily rate it an eight or nine out of ten.

Read full review

Jacques Du Preez

Chief Executive Officer at Intellinexus

Offers good user interface and easy to navigate

Our experience is mainly around using Snowflake Data Cloud with Matillion. And the two of them combined, offer superior performance and price point benefits. Using them together is very efficient because Matillion's processing and Snowflake's own scalability and consumption based on pushing down code work well together. They are very efficient. We've used Azure Data Factory (ADF) for integration. So that's an alternative, depending on customer choice for the integration. And then on AWS, a few of the other services, like Terraform, and S3 storage, and that's about it. It's on a case-by-case basis. If they've chosen ADF as a technology, then we implement using that choice.

Read full review

Quotes from Members

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

Pros

"Cloud Pak for Integration is definitely scalable. That is the most important criteria."

"It is a stable solution."

"The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of our policies and everything is managed through JCP. It's still among the positive aspects, and it's a valuable feature."

"The most valuable aspect of the Cloud Pak, in general, is the flexibility that you have to use the product."

"Redirection is a key feature. It helps in managing multiple microservices by centralizing control and access."

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

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

"It has helped us to get onto the cloud quickly."

"It has improved the costs of managing my customer’s data."

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

"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 can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."

"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

"Setting up Cloud Pak for Integration is relatively complex. It's not as easy because it has not yet been fully integrated. You still have some products that are still not containerized, so you still have to run them on a dedicated VM."

"Enterprise bots are needed to balance products like Kafka and Confluent."

"Its queuing and messaging features need improvement."

"The initial setup is not easy."

"The pricing can be improved."

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

"One of the features that's in development is data privacy in the cloud, along with further SAP integration. For connectivity to SAP systems."

"It needs integration with more data sources."

"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."

"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."

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

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

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

"It is an expensive solution."

"The solution's pricing model is very flexible."

"The product must improve its pricing."

"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."

"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 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 AWS pricing and licensing are a cost-effective solution for data integration needs."

"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 prices needs to be lower."

"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

See which vendors are best for you

Use our free recommendation engine to learn which Cloud Data Integration solutions are best for your needs.

See recommendations

846,617 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

13%

Government

Manufacturing Company

Financial Services Firm

18%

Computer Software Company

15%

Manufacturing Company

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about IBM Cloud Pak for Integration?

The most preferable aspect would be the elimination of the command, which was a significant improvement. In the past, it was a challenge, but now we can proceed smoothly with the implementation of ...

See all answers

What needs improvement with IBM Cloud Pak for Integration?

Enterprise bots are needed to balance products like Kafka and Confluent.

See all answers

What is your primary use case for IBM Cloud Pak for Integration?

It manages APIs and integrates microservices at the enterprise level. It offers a range of capabilities for handling APIs, microservices, and various integration needs. The platform supports thousa...

See all answers

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.

See all answers

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 ...

See all answers

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.

See all answers

Comparisons

IBM App Connect vs IBM Cloud Pak for Integration

Compared 45% of the time

IBM API Connect vs IBM Cloud Pak for Integration

Compared 15% of the time

IBM DataPower Gateway vs IBM Cloud Pak for Integration

Compared 7% of the time

IBM InfoSphere DataStage vs IBM Cloud Pak for Integration

Compared 7% of the time

AWS Glue vs IBM Cloud Pak for Integration

Compared 7% of the time

More IBM Cloud Pak for Integration Competitors

Azure Data Factory vs Matillion Data Productivity Cloud

Compared 15% 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

Informatica PowerCenter vs Matillion Data Productivity Cloud

Compared 5% of the time

More Matillion Data Productivity Cloud Competitors

Product Reports

Buyer's Guide

API Management

April 2025

Download IBM Cloud Pak for Integration product report

Buyer's Guide

Matillion Data Productivity Cloud

March 2025

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

IBM Cloud Pak for Integration gives you complete, flexible integration using capabilities you need to move at today's speed of business, including the tools to help you achieve your application modernization goals as part of your journey to the cloud.

IBM

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

CVS Health Corporation

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

Buyer's Guide

IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud

March 2025

Free Report: IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud

Find out what your peers are saying about IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud and other solutions. Updated: March 2025.

DOWNLOAD NOW

846,617 professionals have used our research since 2012.

See our IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud report.

See our list of best Cloud Data Integration vendors.

We monitor all Cloud 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.