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IBM InfoSphere Information Server vs Matillion Data Productivity Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jul 6, 2025

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 InfoSphere Information ...
Average Rating
8.4
Reviews Sentiment
6.6
Number of Reviews
7
Ranking in other categories
Data Integration (31st), Metadata Management (6th)
Matillion Data Productivity...
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
28
Ranking in other categories
Cloud Data Integration (9th)
 

Featured Reviews

UmeshKumar1 - PeerSpot reviewer
Prompt support, reliable, but lacking scalability
IBM InfoSphere Information Server has multiple tools in that product suite. However, we mainly use it as an integration tool I have been using IBM InfoSphere Information Server for approximately five years. IBM InfoSphere Information Server is stable. IBM InfoSphere Information Server should be…
Jitendra Jena - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"IBM InfoSphere Information Server is stable."
"The integration with different technologies is the most valuable feature."
"Stability-wise, I rate the solution a ten out of ten."
"This solution is extremely flexible and scalable."
"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."
"The most valuable feature of Matillion ETL is the UI experience in which you can drag and drop most of the transformation."
"The product is quite stable and can handle complex data integration tasks well."
"It takes less than five minutes to set up and delivers results. It is much quicker than traditional ETL technologies."
"The new version with the Productivity Cloud is very simple. It's easy to use, navigate, and understand."
"It can scale to a great extent. It can handle the load that we are putting on it, which is about 5TBs."
"The solution's most valuable feature is the CDC (Change Data Capture) component."
"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)."
 

Cons

"IBM InfoSphere Information Server should be more scalable. It should have the option to change the configuration to run on a single, non-multiple node, or multi-threading processing."
"There are certain shortcomings in the cloud side of the solution, where improvements are required."
"Their technical support needs improvement."
"This solution would benefit from the engine being made more lightweight."
"There are problems with GCP connectivity. Specifically, connections to BigQuery for extracting information are complex, and the optimization of the extraction process requires improvements."
"The product's scalability needs improvement. Perhaps adding more connectors would be beneficial."
"In the next release, we would like to have connections to more databases."
"Scalability in Matillion Data Productivity Cloud has some limitations. Depending on the nature of data sets, volume, and mixture of different data, the scalability could be improved as manual code writing is still required."
"Going forward, I would like them to add custom jobs, since we still have to run these outside of Matillion."
"Performance can be improved for efficiency, and it can be made faster."
"The product must enhance its near-real-time data capture feature."
"Our main challenge currently is that Matillion runs on an EC2 instance, limiting us to running only two processes simultaneously at the entry level."
 

Pricing and Cost Advice

"The licensing cost of IBM InfoSphere Information Server depends on how many users there are."
"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 has a pay-as-you-go pricing model of a few dollars per hour of runtime."
"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."
"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."
"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."
"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 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."
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Top Industries

By visitors reading reviews
Financial Services Firm
23%
Government
16%
Insurance Company
9%
Healthcare Company
6%
Financial Services Firm
17%
Computer Software Company
15%
Manufacturing Company
9%
Insurance Company
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about IBM InfoSphere Information Server?
Stability-wise, I rate the solution a ten out of ten.
What needs improvement with IBM InfoSphere Information Server?
There are certain shortcomings in the cloud side of the solution, where improvements are required. In our company, we are presently in the process of doing a PoC phase since we have the solution cu...
What is your primary use case for IBM InfoSphere Information Server?
I use IBM InfoSphere Information Server in retail banking for transformation purposes.
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.
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...
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...
 

Also Known As

InfoSphere Information Server, IBM Information Server
Matillion ETL for Redshift, Matillion ETL for Snowflake, Matillion ETL for BigQuery
 

Overview

 

Sample Customers

Canadian National Railway Company, Chickasaw Nation Division of Commerce, Swedish Armed Forces, BG RCI, Janata Sahakari Bank Ltd., University of Arizona, Biogrid Australia
Thrive Market, MarketBot, PWC, Axtria, Field Nation, GE, Superdry, Quantcast, Lightbox, EDF Energy, Finn Air, IPRO, Twist, Penn National Gaming Inc
Find out what your peers are saying about IBM InfoSphere Information Server vs. Matillion Data Productivity Cloud and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.