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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 92% 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 27 Matillion Data Productivity Cloud reviews
  • 1,597 Views
  • 1,090 Comparison Views
92% willing to recommend
 

Comparison Buyer's Guide

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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.

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To learn more, read our detailed IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud Report (Updated: April 2025).
Buyer's Guide
IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud
April 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
15th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
5
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
27
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Cloud Data Integration category, the mindshare of IBM Cloud Pak for Integration is 2.1%, up from 1.8% 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 - PeerSpot reviewer
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
Tomáš Hronek - PeerSpot reviewer
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…
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."
"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."
"It's highly scalable. It takes upon itself the Redshift scalability, so it's very good."
"It is pretty user-friendly, even for people who aren't super technical."
"It's been able to do everything we require."
"It has improved the costs of managing my customer’s data."
"The tool's middle-dimensional structure significantly simplifies obtaining the right data at the appropriate level. This feature makes deploying our applications easier since we utilize a single source without publishing data from various sources."
"The most valuable feature of Matillion ETL is the ETL. The solution is open-source which provides advantages, such as good performance and high efficiency. Additionally, it supports three data types which eliminates predefining the data, and we can write script models in Python."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"Matillion ETL has great Git integration that is perfect and convenient to use."
More Matillion Data Productivity Cloud pros
 

Cons

"The initial setup is not easy."
"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."
"Its queuing and messaging features need improvement."
"Enterprise bots are needed to balance products like Kafka and Confluent."
"The pricing can be improved."
"Matillion ETL should include more enhanced capabilities for extracting data from the SAP systems."
"The current version is a bit more limited because it's on a virtual machine, and everything executes on that one virtual machine."
"In the next release, we would like to have connections to more databases."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"The improvement area could be possible if the tool provides better integration capabilities with other ecosystems, including governance tools or data cataloging tools, as it is currently an area where the solution is lacking."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"While the UI is good, it could be improved in its efficiency and made easier to use."
"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."
More Matillion Data Productivity Cloud cons
 

Pricing and Cost Advice

"It is an expensive solution."
"The solution's pricing model is very flexible."
"The AWS pricing and licensing are a cost-effective solution for data integration needs."
"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."
"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."
"Purchasing it through the AWS Marketplace is pretty convenient. There is a little bit of back and forth in terms of the licensing based on the machine size, but it seems to have worked out well. it is convenient to have it all as part of our AWS billing."
"It was very easy to purchase through the AWS Marketplace, but it was also expensive."
"The cost of the solution is high and could be reduced."
"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."
"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
20%
Computer Software Company
12%
Government
8%
Insurance Company
7%
Financial Services Firm
18%
Computer Software Company
16%
Manufacturing Company
9%
Healthcare Company
5%
 

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?
While pricing can be an issue compared to other solutions, Matillion Data Productivity Cloud offers discounts and special deals, especially when dealing with high-volume clients or fewer existing c...
See all answers
What needs improvement with Matillion ETL?
There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements. I raise...
See all answers
 

Comparisons

IBM App Connect vs IBM Cloud Pak for Integration Logo
IBM App Connect vs IBM Cloud Pak for Integration
Compared 45% of the time
IBM API Connect vs IBM Cloud Pak for Integration Logo
IBM API Connect vs IBM Cloud Pak for Integration
Compared 15% of the time
IBM DataPower Gateway vs IBM Cloud Pak for Integration Logo
IBM DataPower Gateway vs IBM Cloud Pak for Integration
Compared 7% of the time
IBM InfoSphere DataStage vs IBM Cloud Pak for Integration Logo
IBM InfoSphere DataStage vs IBM Cloud Pak for Integration
Compared 7% of the time
AWS Glue vs IBM Cloud Pak for Integration Logo
AWS Glue vs IBM Cloud Pak for Integration
Compared 6% of the time
More IBM Cloud Pak for Integration Competitors
Azure Data Factory vs Matillion Data Productivity Cloud Logo
Azure Data Factory vs Matillion Data Productivity Cloud
Compared 14% of the time
AWS Glue vs Matillion Data Productivity Cloud Logo
AWS Glue vs Matillion Data Productivity Cloud
Compared 10% of the time
SSIS vs Matillion Data Productivity Cloud Logo
SSIS vs Matillion Data Productivity Cloud
Compared 9% of the time
SnapLogic vs Matillion Data Productivity Cloud Logo
SnapLogic vs Matillion Data Productivity Cloud
Compared 5% of the time
Snowflake vs Matillion Data Productivity Cloud Logo
Snowflake 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
IBM Cloud Pak for Integration reportDownload IBM Cloud Pak for Integration product report
Buyer's Guide
Matillion Data Productivity Cloud
April 2025
Matillion Data Productivity Cloud reportDownload 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
April 2025
Free Report: IBM Cloud Pak for Integration vs. Matillion Data Productivity Cloud
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