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IBM Cloud Pak for Data vs Rivery comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 19, 2024

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
5.9
IBM Cloud Pak for Data boosts ROI by improving data quality, reducing costs, and enabling efficient, compliant AI-driven decisions.
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 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 support is generally satisfactory but needs improved responsiveness, especially for complex issues and non-English assistance.
Sentiment score
6.8
Rivery's support is highly rated for personalized assistance, quick feedback, and encouraging user learning despite occasional technical challenges.
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
I would rate IBM's support at about a seven or eight out of ten because we have good support coverage owing to our long association with IBM.
EDW Manager at a university with 1,001-5,000 employees
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
6.9
IBM Cloud Pak for Data is highly rated for scalability, favored by medium and large organizations for its expandable infrastructure.
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
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 generally stable, rated 7-9, improving over time, despite integration-related challenges.
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.
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 performance, integration, user support, deployment options, and more training resources to enhance usability.
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 offers flexible, competitive pricing, appealing to large enterprises despite high setup costs.
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 offers powerful AI and data tools enhancing decision-making, connectivity, and cost efficiency through automation and multi-cloud support.
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
16th
Average Rating
8.2
Reviews Sentiment
6.2
Number of Reviews
18
Ranking in other categories
Data Virtualization (3rd)
Rivery
Ranking in Data Integration
25th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
8
Ranking in other categories
Migration Tools (3rd), Cloud Migration (11th), Cloud Data Integration (15th)
 

Mindshare comparison

As of March 2026, in the Data Integration category, the mindshare of IBM Cloud Pak for Data is 1.3%, down from 1.7% compared to the previous year. The mindshare of Rivery is 0.6%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
IBM Cloud Pak for Data1.3%
Rivery0.6%
Other98.1%
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.
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
22%
Manufacturing Company
10%
Computer Software Company
8%
Government
5%
Manufacturing Company
12%
Comms Service Provider
11%
Real Estate/Law Firm
7%
Financial Services Firm
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Large Enterprise15
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?
Regarding the price, I know IBM is traditionally relatively expensive in the Hungarian market, but we work together with the local IBM sales team, and on a project basis they manage to negotiate th...
What needs improvement with IBM Cloud Pak for Data?
I think we are happy with IBM Cloud Pak for Data, and there is no specific idea that comes to my mind regarding room for improvement. We are following the progress and the new features, so overall ...
What is your primary use case for IBM Cloud Pak for Data?
I usually recommend IBM Cloud Pak for Data for companies in the financial sector, as we are mostly working with local insurance companies and banks within Hungary where we are located. For IBM Clou...
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: March 2026.
884,873 professionals have used our research since 2012.