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IBM Cloud Pak for Data vs Rivery comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
5.1
Rivery improves productivity and efficiency, reducing manual work and cutting costs by enabling independent project management with fewer employees.
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
It has given my teams an edge in data management through automation while adhering to compliance regulations.
Sr. Data Engineer at a tech vendor with 10,001+ employees
It saved my team time and really reduced manual work, so overall, it improved efficiency.
software tester at a consultancy with 11-50 employees
By using Snowflake and Rivery, I was able to set up and complete project goals myself without the necessity to employ additional data engineers or DevOps.
Researcher at a educational organization with 11-50 employees
 

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
Rivery's support is highly rated for personalized assistance, quick feedback, and encouraging user learning despite occasional technical challenges.
I rate the technical support from IBM a nine out of ten because the support has been very top-notch, unparalleled, and also very professional.
Manager at teshama
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
One significant challenge was implementing custom-built Python scripts using Rivery for transformations.
CDL at Ycotek
Customer support is great; they are answering really fast.
Manager, Business Intelligence at WalkMe - the Enterprise-Class Online Guidance and Engagement platform.
The customer support for Rivery is excellent.
Manager, Application at a non-profit with 1,001-5,000 employees
 

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
7.0
Rivery scales effectively, integrating diverse data sources, supporting increased use, and connecting to databases and tools like Snowflake and Tableau.
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
For scalability, I rate it a nine out of ten because it is a very scalable solution that has been able to handle my organization's growth efficiently.
Manager at teshama
It has handled growing data volumes and additional pipelines without major issues.
software tester at a consultancy with 11-50 employees
The focus is on the ability to connect to different sources and to put all the data together.
Data Analyst at a computer software company with 11-50 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
8.4
Rivery is stable and user-friendly, offering reliable performance with excellent support, despite occasional glitches and past slowdowns with large datasets.
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
IBM Cloud Pak for Data is stable.
Sr. Data Engineer at a tech vendor with 10,001+ employees
I found the tool very easy to use, allowing me to gain a lot of insights.
Data Analyst at a computer software company with 11-50 employees
The excellent support we received from Rivery team contributes to this perception.
CDL at Ycotek
 

Room For Improvement

IBM Cloud Pak for Data needs better integration, enhanced performance, simplified setup, cost management, and improved analytics for broader adoption.
Rivery needs better dependency analysis, user-friendly interface, AI integration, and competitive pricing with improved analytics and visualization.
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
As an end-to-end solution for ETL with Snowflake, Rivery has proven to be reliable and efficient in my day-to-day work.
software tester at a consultancy with 11-50 employees
Agentic AI with open source tools can be used to build all configurations automatically for pipelines.
Researcher at a educational organization with 11-50 employees
One feature that stood out in Informatica was the ability to see data flowing through each transformation step while debugging, which I felt was missing in Rivery.
CDL at Ycotek
 

Setup Cost

IBM Cloud Pak for Data is costly, suitable for large enterprises, with pricing based on usage and deployment.
Rivery's pricing is competitive but can be steep for small businesses, with complex integrations increasing costs significantly.
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
I found myself asking my stakeholder to make it only five times a day because it was really expensive.
Manager, Application at a non-profit with 1,001-5,000 employees
I found the pricing and licensing to be fair and competitive compared to other solutions I have seen.
Manager, Business Intelligence at WalkMe - the Enterprise-Class Online Guidance and Engagement platform.
 

Valuable Features

IBM Cloud Pak for Data enhances productivity with AI tools, data governance, and seamless integration across hybrid and multi-cloud environments.
Rivery excels in seamless integration, user-friendly design, and efficient data processing, appealing to various technical skill levels.
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
Rivery saved time and money because everything was handled in one place by only one or two data people instead of using the resources of a development team, which is great, and all the knowledge is handled in one team.
Manager, Application at a non-profit with 1,001-5,000 employees
The main benefit Rivery brought to my organization was the time we were able to save on development.
Researcher at a educational organization with 11-50 employees
Rivery has positively impacted my organization by reducing the need for a big team of data engineers and speeding up the work when we need to connect to a new data source; this can happen really fast.
Manager, Business Intelligence at WalkMe - the Enterprise-Class Online Guidance and Engagement platform.
 

Categories and Ranking

IBM Cloud Pak for Data
Ranking in Data Integration
15th
Average Rating
8.2
Reviews Sentiment
6.1
Number of Reviews
22
Ranking in other categories
Data Virtualization (3rd)
Rivery
Ranking in Data Integration
23rd
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
Migration Tools (2nd), Cloud Migration (12th), Cloud Data Integration (16th)
 

Mindshare comparison

As of June 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.1%, down from 1.8% compared to the previous year. The mindshare of Rivery is 0.7%, 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 Data1.1%
Rivery0.7%
Other98.2%
Data Integration
 

Featured Reviews

Raman Shihan - PeerSpot reviewer
Sr. Data Engineer at a tech vendor with 10,001+ employees
Unified data workflows have transformed how I manage sensitive analytics and end-to-end AI
One of the things that IBM Cloud Pak for Data does well is the data privacy and security that it offers. Since most of my data is very sensitive, IBM privacy framework helps me secure it very conveniently. In my experience, some of the best features that I encounter in IBM Cloud Pak for Data are the AI and Watson Assistant, which is very good. The analytics dashboard featuring all the recent history is very good with IBM. Searching for data through the unified search option is super cool. Among those features, the artificial intelligence that solves everything automatically stands out as most valuable in my day-to-day work, saving a lot of time. I can also store my data in many clouds with all the desired data. The customer service system is excellent and always willing to help. I would also add that the project analytics dashboard, ability to manage data across different cloud platforms, and end-to-end AI lifecycle are very great. IBM Cloud Pak for Data has positively impacted my organization by helping me see some return on investments. I have the ability to access all my data much quicker through the unified search option. It has also improved data security and governance in my organization very well. I've seen a 30% increase in productivity through the introduction of AI with IBM Cloud Pak for Data, which has really simplified a lot of operations that were manually tackled.
AD
CDL at Ycotek
Training has boosted custom ETL scripting and now debugging complex incremental loads needs work
The best feature Rivery offers is the ability to build custom or user-defined functions. You can even develop Python scripts to perform transformations on your data frames. This flexibility allows you to implement custom requirements, making Rivery more versatile than relying solely on in-built functions. Regarding features such as the interface, scheduling, or connectors, I found that as of 2022 when I last used it, the monitoring was good, although the debugging process for custom scripts was somewhat challenging. If we encountered issues with custom-built scripts, debugging was difficult since it used to send standard errors rather than specific ones. From what I recall, monitoring worked well, and we could connect to multiple relational and other sources, which was advantageous. A few of my colleagues and I were able to earn certifications on Rivery, which motivated us, even though we could not pursue or implement Rivery project for clients. The learning experience was very valuable as we had around seven or eight resources participating in those trainings, and they were all excited to learn about this new tool for us at the time.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
10%
Computer Software Company
7%
University
5%
Construction Company
16%
Manufacturing Company
13%
Comms Service Provider
13%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Large Enterprise20
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise1
Large Enterprise3
 

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 Rivery?
I do not know about the experience with pricing, setup cost, and licensing as it was not part of my job.
What needs improvement with Rivery?
I think Rivery could be improved by having more analytical features inside. I do not know if in the latest updates there are some AI tools to use or something related to that. Sometimes I wish for ...
What is your primary use case for Rivery?
My main use case for Rivery involves collecting data from different sources, and with Rivery, I am able to put them together and load the data directly in Snowflake.
 

Also Known As

Cloud Pak for Data
No data available
 

Overview

 

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival
Information Not Available
Find out what your peers are saying about IBM Cloud Pak for Data vs. Rivery and other solutions. Updated: June 2026.
900,747 professionals have used our research since 2012.