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 #16 with an average rating of 8.5, while Matillion is ranked #8 with an average rating of 8.0. IBM holds a 1.8% mindshare in CDI, compared to Matillion’s 5.1% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 92% of Matillion users who would recommend it.

IBM Cloud Pak for Integration

Read 5 IBM Cloud Pak for Integration reviews

1,159 Views
533 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

IBM Cloud Pak for Integration

Matillion Data Productivity...

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Executive SummaryUpdated on Oct 12, 2025

Matillion Data Productivity Cloud and IBM Cloud Pak for Integration are key competitors in data orchestration and integration. Matillion's user-friendly platform and efficient data transformation often give it an edge in streamlining processes, while IBM Cloud Pak is frequently favored for its extensive integration capabilities suitable for enterprise-level needs.

Features: Matillion shines with its seamless integration with cloud data sources, user-friendly graphical interface, and flexibility in handling large volumes of data through automated scalability. IBM Cloud Pak for Integration offers a robust suite of integration tools, enhanced flexibility with OpenShift Container Platform, and effective streaming capabilities, making it ideal for complex, enterprise-level operations.

Room for Improvement: Matillion could improve by expanding its native integrations beyond AWS to other cloud ecosystems and enhancing its real-time data processing capabilities. It should also work on its pricing model to better serve larger enterprises. IBM Cloud Pak for Integration may enhance its user interface for simpler navigation, improve the deployment process for faster integration, and provide more cost-effective solutions for businesses with tight budgets.

Ease of Deployment and Customer Service: Matillion offers straightforward deployment and efficient customer support, which enhances user experiences and minimizes downtime. IBM Cloud Pak for Integration, while more complex to deploy due to its wide range of configuration options, compensates with strong support structures vital for enterprise integration needs.

Pricing and ROI: Matillion typically presents competitive pricing with strong ROI, largely due to its focus on data transformation which accelerates time to value. IBM Cloud Pak for Integration involves greater upfront costs but provides long-term benefits through its extensive integration features, which are promising for complex scenarios where comprehensive data management is crucial.

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

Buyer's Guide

IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud

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

IBM Cloud Pak for Integration

Ranking in Cloud Data Integration

16th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

API Management (28th)

Matillion Data Productivity...

Ranking in Cloud Data Integration

8th

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Cloud Data Integration category, the mindshare of IBM Cloud Pak for Integration is 1.8%, down from 1.8% compared to the previous year. The mindshare of Matillion Data Productivity Cloud is 5.1%, up from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Market Share Distribution
Product	Market Share (%)
Matillion Data Productivity Cloud	5.1%
IBM Cloud Pak for Integration	1.8%
Other	93.1%

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

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.

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

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

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

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

"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."

"It is a stable solution."

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

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

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

"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)."

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

"The product has a good user interface."

"Matillion's technical support is excellent."

"The most valuable feature of Matillion ETL is its user-friendly graphical interface."

More Matillion Data Productivity Cloud pros

Cons

"The pricing can be improved."

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

"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."

"The initial setup is not easy."

"Its queuing and messaging features need improvement."

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

"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."

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

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

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

"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."

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

More Matillion Data Productivity Cloud cons

Pricing and Cost Advice

"It is an expensive solution."

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

"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."

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

"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."

"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."

"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."

"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 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."

More Matillion Data Productivity Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Government

11%

Insurance Company

Computer Software Company

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

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 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

IBM App Connect vs IBM Cloud Pak for Integration

Compared 39% of the time

IBM API Connect vs IBM Cloud Pak for Integration

Compared 13% of the time

MuleSoft API Manager vs IBM Cloud Pak for Integration

Compared 11% of the time

webMethods.io vs IBM Cloud Pak for Integration

Compared 10% of the time

IBM DataPower Gateway vs IBM Cloud Pak for Integration

Compared 8% of the time

More IBM Cloud Pak for Integration Competitors

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

API Management

October 2025

Download IBM Cloud Pak for Integration product report

Buyer's Guide

Matillion Data Productivity Cloud

September 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

September 2025

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