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IBM Cloud Pak for Data vs Striim comparison

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Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
5.1
Users see improved efficiency and ROI with IBM Cloud Pak for Data, streamlining management and boosting compliance and satisfaction.
Sentiment score
7.9
Striim enhances efficiency by reducing data sync time and incidents, saving organizations significant time and operational costs.
We have been able to drive responsible, transparent, and explainable AI workflow to operationalize AI and mitigate risk and regulatory compliance easily.
Senior Data Analyst at Wipro Limited
It is easy to collect, organize, and analyze data no matter where it is, hence being able to make data-driven decisions.
Engineer at Turner Construction
The incidents have disappeared completely since I have been using Striim.
Cloud architect at a tech vendor with 10,001+ employees
Striim's continuous pipeline safely processes millions of daily transactions without data loss; my organization had millions of transactions every day and even in real-time, so it was quite good.
Mainframe lead at Infosys
Since it is now one to two hours, I would say it has saved employee hours and time.
Data Engineer
 

Customer Service

Sentiment score
7.1
IBM Cloud Pak for Data's support is responsive, rated highly, and cost-effective, but lacks local language options and has occasional delays.
Sentiment score
6.8
Striim's customer service is praised for prompt, expert assistance, particularly in z/OS architecture and DB2 logs troubleshooting.
Cloud Pak is a complicated system, and it's often difficult to find the right resource in IBM to help with specific issues.
Data asset management engineer at a tech services company with 1-10 employees
The customer support for IBM Cloud Pak for Data is great and responsive.
Engineer at Turner Construction
The response time for IBM's technical support is excellent.
Sales Director at Jordan Business Systems
They are all knowledgeable about what they do.
Data Engineer
When you contact them, they give you a response straight away and help you identify the issue and fix it.
Technology Specialist Database at a retailer with 10,001+ employees
The customer support has been excellent, and their engineers actually understand z/OS architecture and DB2 logs.
Mainframe lead at Infosys
 

Scalability Issues

Sentiment score
6.6
IBM Cloud Pak for Data is scalable, efficiently managing growth and large data, with high resource use noted.
Sentiment score
7.8
Striim performs well with moderate data volumes, is adaptable, and recommended for hybrid clouds, but enterprise-level scalability is untested.
I have not noticed any downtime or lagging, especially when dealing with large data, so it is relatively very scalable.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data's scalability is very good; it can be used by any size of organization.
Engineer at Turner Construction
Our licensing was based on the number of cores, so even if we have a high number of events on any given day, our license cost would not go high.
Data Engineer
I would describe the scalability of Striim as very good, as it adapts well.
Cloud architect at a tech vendor with 10,001+ employees
Striim can handle the data volumes effectively, but it can struggle a little bit if the data volume is too high.
Technology Specialist Database at a retailer with 10,001+ employees
 

Stability Issues

Sentiment score
7.8
IBM Cloud Pak for Data is stable with positive performance and integration, though scalability improvements are desired by some users.
Sentiment score
7.9
Users generally find Striim stable with occasional slowdowns and initial synchronization issues, but no major crashes or reliability problems.
The overall performance of IBM Cloud Pak for Data, particularly with IBM DataStage for ETL processes, is very good.
Sales Director at Jordan Business Systems
That problem has been completely resolved with Striim.
Cloud architect at a tech vendor with 10,001+ employees
Striim was very stable.
Data Engineer
In my experience, Striim is mostly stable.
Mainframe lead at Infosys
 

Room For Improvement

IBM Cloud Pak for Data needs better integration, enhanced performance, simplified setup, cost management, and improved analytics for broader adoption.
Striim needs better performance, especially in batch processing, documentation, user setup, and pricing to satisfy users' needs.
Setting up the hybrid and multi-cloud environments is a long job and it takes time.
Senior Data Analyst at Wipro Limited
IBM Cloud Pak for Data can be improved because processing speeds are sometimes slow.
Engineer at Turner Construction
To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration.
Senior Project Manager at EY
I believe if Striim could use some part of AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change.
Data Engineer
They could improve the documentation by showing how to configure with different platforms.
Technology Specialist Database at a retailer with 10,001+ employees
I think Striim could be improved with better pricing and enhanced documentation.
Cloud architect at a tech vendor with 10,001+ employees
 

Setup Cost

IBM Cloud Pak for Data is costly, suitable for large enterprises, with pricing based on usage and deployment.
Enterprise users find Striim's pricing based on cores and CPU usage costly, but fair for private cloud setups.
The setup cost is very expensive.
Data asset management engineer at a tech services company with 1-10 employees
Regarding my experience with pricing, setup cost, and licensing, for a small organization, the price might be relatively high, but for huge enterprises such as ours, the price is relatively affordable.
Senior Data Analyst at Wipro Limited
The list price is high, but the flexibility in pricing is adequate.
Solution Manager at Intalion
Licensing was a bit more expensive because Striim has to read from Oracle GoldenGate trail files and also integrate them.
Technology Specialist Database at a retailer with 10,001+ employees
My experience with the pricing, implementation cost, and licensing of Striim is that it is somewhat expensive.
Cloud architect at a tech vendor with 10,001+ employees
It's very fair.
Data Engineer
 

Valuable Features

IBM Cloud Pak for Data enhances productivity with AI tools, data governance, and seamless integration across hybrid and multi-cloud environments.
Striim enhances business analytics with real-time data streaming, ease of use, and efficient synchronization, reducing load and overhead.
From there, I can work my way into a more granular level, applying all of that information on top of my actual data to understand what my data looks like, where it came from, and where it went wrong, managing it throughout the cycle.
Data asset management engineer at a tech services company with 1-10 employees
The benefits of choosing IBM Cognos, in addition to saving on cost, include having institutional knowledge about maintaining this infrastructure and enough people who have developed on Cognos in the past, which creates comfort in its use.
EDW Manager at a university with 1,001-5,000 employees
We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data.
Senior Data Analyst at Wipro Limited
Striim is capable of absorbing a large number of transactions, and the difference between the two databases is always less than a second, which demonstrates efficiency.
Cloud architect at a tech vendor with 10,001+ employees
There were significant improvements because once we enabled change data capture, the database was not going down at all.
Data Engineer
It reduces manual intervention because it automatically syncs the data from the warehouse.
Technology Specialist Database at a retailer with 10,001+ employees
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
16th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
20
Ranking in other categories
Data Virtualization (3rd)
Striim
Ranking in Data Integration
44th
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
Cloud Data Integration (23rd), Streaming Analytics (20th)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.0%, down from 1.8% compared to the previous year. The mindshare of Striim is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
IBM Cloud Pak for Data1.0%
Striim0.6%
Other98.4%
Data Integration
 

Featured Reviews

ArchanaSingh - PeerSpot reviewer
Senior Data Analyst at Wipro Limited
Collaborative data platform has transformed analytics and now drives faster decisions
The best features IBM Cloud Pak for Data offers include robust data visualization, centralized data analytics, data reliability, and compatibility with hybrid and multi-cloud environments. The compatibility with hybrid and multi-cloud environments has helped our organization as data visualization is very simple. Migrations, reading, analysis, and data management from other sources are performed without problems of requirements. We have a team of experts in IBM Cloud Pak for Data to maintain security and correct data management easily. I find this cloud excellent for visualizing and managing data across networks and also fulfilling fastest data storage, making it less complex and completely improving productivity in my organization. Everything is managed in multiple environments without any problem. IBM Cloud Pak for Data has positively impacted my organization, and I have noticed some improvement since we started using this tool. Configuration with hybrid and multi-cloud environments has been very seamless and easy. It is a robust platform capable of working with multiple data sources where we gain insights to make data-driven decisions easily. It automates data analysis for quick and better performance. We have seen improvements in analysis and data correction from multiple sources. Our productivity in the company is growing, thanks to the data analysis team. We have also seen a robust hybrid and multi-cloud access system working seamlessly. I can share specific outcomes that show how productivity has grown and how performance has improved since the data is automated, and the analysis is done much faster, saving us a lot of time. We have been able to save approximately 80 percent of our time. We are not doing data analysis manually, so this relieves our data department of dealing with data. We have been relieved of a lot of duties, and now we are able to focus on other strategic tasks. Our productivity has greatly increased since we are able to make concrete and data-driven decisions easily.
RV
Data Engineer
Real-time data capture has accelerated releases and now improves trust in our data warehouse
The checkpoints would help me to figure out where the problem was if there's any lag, but I had to do a lot of manual work to figure out where the lag is. Striim would not intuitively tell me the culprit table or database behind the lag. I believe that is an improvement Striim could definitely do. Passwords were an issue. Property variables were not supported for passwords, meaning I had to make sure the password is manually populated. I believe if Striim could read from AWS secrets or its own secret mechanism to store the password, that would really save a lot of time so that I don't have to keep updating the password whenever there is any change. The user experience of triggering alerts if there's any lag which Striim identified, which is outside normal processing time, could intrinsically be done by Striim. I believe that was lacking. I would wait for Striim to tell me, instead of me going and validating whether Striim is lagging behind. If Striim could itself tell me that it's seeing a lot more volume than expected, that would really make me give it a higher number.
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915,341 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
11%
Outsourcing Company
6%
Comms Service Provider
6%
Retailer
16%
Construction Company
13%
Healthcare Company
12%
Financial Services Firm
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Large Enterprise20
No data available
 

Questions from the Community

What is your experience regarding pricing and costs for IBM Cloud Pak for Data?
My experience with pricing, setup cost, and licensing is that the cost of the product can be a bit higher, especially for a company working on a tight budget.
What needs improvement with IBM Cloud Pak for Data?
One of the improvements I think should be made to IBM Cloud Pak for Data is that the cost of the product is a bit higher. Besides cost, I think something that is needed for improvement is that more...
What is your primary use case for IBM Cloud Pak for Data?
My main use case for IBM Cloud Pak for Data is that it is fully scalable and a scalable platform for data. I use it to provide data solutions for my customers. I also use it to provide various indu...
What is your experience regarding pricing and costs for Striim?
It's very fair. We had a private cloud, and it's not based on the number of events. It was based on the number of cores and CPU cores.
What needs improvement with Striim?
The checkpoints would help me to figure out where the problem was if there's any lag, but I had to do a lot of manual work to figure out where the lag is. Striim would not intuitively tell me the c...
What is your primary use case for Striim?
We were using batch data from an Oracle database, which was causing the Oracle database to slow down. We enabled change data capture and used Striim to read data from Oracle databases and ingest in...
 

Also Known As

Cloud Pak for Data
Striim Platform
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Sky, UPS, MACY'S, EMAAR, HSBC
Find out what your peers are saying about IBM Cloud Pak for Data vs. Striim and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.