CData Connect Cloud vs IBM Cloud Pak for Data comparison

CData Software and IBM are both solutions in the Data Virtualization category. CData Software is ranked #7, while IBM is ranked #3 with an average rating of 8.0. CData Software holds a 1.8% mindshare in DV, compared to IBM’s 19.8% mindshare. Additionally, 100% of CData Software users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

CData Connect Cloud

Read 1 CData Connect Cloud review

23 Views
12 Comparison Views

100% willing to recommend

IBM Cloud Pak for Data

Read 13 IBM Cloud Pak for Data reviews

265 Views
145 Comparison Views

86% willing to recommend

CData Connect Cloud

IBM Cloud Pak for Data

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between CData Connect Cloud and IBM Cloud Pak for Data based on real PeerSpot user reviews.

Find out what your peers are saying about Denodo, SAP, IBM and others in Data Virtualization.

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

CData Connect Cloud

Ranking in Data Virtualization

7th

Average Rating

8.0

Reviews Sentiment

5.8

Number of Reviews

Ranking in other categories

Cloud Data Integration (28th)

IBM Cloud Pak for Data

Ranking in Data Virtualization

3rd

Average Rating

7.8

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (24th)

Mindshare comparison

As of June 2025, in the Data Virtualization category, the mindshare of CData Connect Cloud is 1.8%, up from 0.5% compared to the previous year. The mindshare of IBM Cloud Pak for Data is 19.8%, up from 15.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Virtualization

Featured Reviews

Zain Amjed

Business Intelligence Manager at a real estate/law firm with 5,001-10,000 employees

Accurate data and reliable

CData Connect is used to extract data from our own Facebook ads campaigns The most valuable feature of CData Connect is the accuracy of the data. The amount of data that can be extracted at one point in time should be improved. I have been using CData Connect for approximately three months.…

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Michelle Leslie

Data asset management engineer at a tech services company with 1-10 employees

Starts strong with data management capabilities but needs a demo database

What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated. There are so many components to data management, and more often than not, people understand one thing really well. They may understand DataStage and how to move data around, but they do not see the impact of moving data incorrectly. They also do not see the impact of everyone understanding a piece of data in the same way. I would love Cloud Pak to come with a demo database that illustrates the different components of data management in a logical way, so I can see the whole picture instead of just the area I'm specializing in. It would be great if Cloud Pak, from a data modeling point of view, allowed us to import our PDMs, for example. It would be ideal to import and create business terms in Cloud Pak. The PEA would be great to create the technical data. The association between the business and the technical metadata could then be automated by pulling it through from your ACE models. The data modeling component is available in Cloud Pak. Additionally, when it comes to Cloud Pak, even though it has the NextGen DataStage built into it, there is Cloud Pak for data integration as well. Currently, I do not think we have a full enough understanding of how CP4D and CP4I can enhance each other.

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Quotes from Members

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

Pros

"The most valuable feature of CData Connect is the accuracy of the data."

"Cloud Pak is a very, very, very good system."

"One of Cloud Pak's best features is the Watson Knowledge Catalog, which helps you implement data governance."

"Scalability-wise, I rate the solution a nine or ten out of ten."

"The most valuable feature of IBM Cloud Pak for Data is the Modeler flows. The ability to develop models using a graphical approach and the capability to connect to various sources, as well as the data virtualization capabilities, allow me to easily access and utilize data that is dispersed across different sources."

"What I found most helpful in IBM Cloud Pak for Data is containerization, which means it's easy to shift and leave in terms of moving to other clouds. That's an advantage of IBM Cloud Pak for Data."

"DataStage allows me to connect to different data sources."

"IBM Watson Catalog and data pipelines are the most valuable features of the solution."

"You can model the data there, connect the data models with the business processes and create data lineage processes."

More IBM Cloud Pak for Data pros

Cons

"The amount of data that can be extracted at one point in time should be improved."

"The solution's catalog searching or map search needs to be improved."

"The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem."

"The product must improve its performance."

"What I would love to see is an end-to-end, almost a training demo database of some sort, where one of the biggest problems with data management is demonstrated."

"The solution's user experience is an area that has room for improvement."

"One thing that bugs me is how much infrastructure Cloud Pak requires for the initial deployment. It doesn't allow you to start small. The smallest permitted deployment is too big. It's a huge problem that prevents us from implementing the solution in many scenarios."

"The tool depends on the control plane, an OpenShift container platform utilized as an orchestration layer...So, we have communicated this issue to IBM and asked if it is feasible to adapt the solution to work on a Kubernetes platform that we support."

"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output. Too many changes have been made, and my company has around one hundred thousand mappings, so my team has been putting more effort into alternative ways to do things. Another area for improvement in IBM Cloud Pak for Data is that it's more complicated to shift from on-premise to the cloud. Other vendors provide secure agents that easily connect with your existing setup. Still, with IBM Cloud Pak for Data, you have to perform connection migration steps, upgrade to the latest version, etc., which makes it more complicated, especially as my company has XML-based mappings. Still, the XML input and output capabilities of IBM Cloud Pak for Data have been discontinued, so I'd like IBM to bring that back."

More IBM Cloud Pak for Data cons

Pricing and Cost Advice

Information not available

"For the licensing of the solution, there is a yearly payment that needs to be made. Also, since it is expensive, cost-wise, I rate the solution an eight or nine out of ten."

"It's quite expensive."

"The solution is expensive."

"The solution's pricing is competitive with that of other vendors."

"Cloud Pak's cost is a little high."

"I don't have the exact licensing cost for IBM Cloud Pak for Data, as my company is still finalizing requirements, including monthly, yearly, and three-year licensing fees. Still, on a scale of one to five, I'd rate it a three because, compared to other vendors, it's more complicated."

"I think that this product is too expensive for smaller companies."

"IBM Cloud Pak for Data is expensive. If we include the training time and the machine learning, it's expensive. The cost of the execution is more reasonable."

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Computer Software Company

12%

Media Company

Hospitality Company

Financial Services Firm

30%

Manufacturing Company

11%

Computer Software Company

10%

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

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What do you like most about IBM Cloud Pak for Data?

DataStage allows me to connect to different data sources.

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What is your experience regarding pricing and costs for IBM Cloud Pak for Data?

The setup cost is very expensive. The cost depends on the pieces of the solution I'm using, how much data I have, and whether it's on the cloud or on-prem.

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What needs improvement with IBM Cloud Pak for Data?

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Comparisons

Fivetran vs CData Connect Cloud

Compared 100% of the time

More CData Connect Cloud Competitors

IBM InfoSphere DataStage vs IBM Cloud Pak for Data

Compared 41% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs IBM Cloud Pak for Data

Compared 15% of the time

Denodo vs IBM Cloud Pak for Data

Compared 13% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 10% of the time

Palantir Foundry vs IBM Cloud Pak for Data

Compared 9% of the time

More IBM Cloud Pak for Data Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

June 2025

Download CData Connect Cloud product report

Buyer's Guide

IBM Cloud Pak for Data

May 2025

Download IBM Cloud Pak for Data product report

Also Known As

No data available

Cloud Pak for Data

Overview

Connect instantly to your favorite cloud apps and data solutions without installing software. CData simplifies the complexity by providing a consistent interface regardless of the source system. Get direct, live connectivity to any app, like Salesforce, SharePoint, and Workday, or data solution, like BigQuery, MongoDB, Snowflake, S3, and Databricks. And for any additional sources, you can use the API connector to create data connections in minutes without coding.

Effortlessly access and explore data directly from your favorite tools and platforms.

Purpose-built native clients for Power BI, Tableau, Microsoft Excel, Google Sheets, Looker Studio, AWS Glue, Python, and more
SQL Server virtualization for dozens of other cloud tools including Looker, Amazon QuickSight, Qlik Sense, SAP Analytics Cloud, Microsoft Power Apps, and more
Standards-based connectors for IT, developers, and data scientists, including JDBC, ODBC, and ADO.NET

With CData Connect Cloud, your organization can efficiently manage access to all cloud data from a single, high-performance, elastic platform that provides robust security and auditing capabilities. And, with granular user permissions, stakeholders can only access or modify the data they are authorized for in each source system.

CData Software

IBM Cloud Pak® for Data is a fully-integrated data and AI platform that modernizes how businesses collect, organize and analyze data to infuse AI throughout their organizations. Cloud-native by design, the platform unifies market-leading services spanning the entire analytics lifecycle. From data management, DataOps, governance, business analytics and automated AI, IBM Cloud Pak for Data helps eliminate the need for costly, and often competing, point solutions while providing the information architecture you need to implement AI successfully.

Building on the streamlined hybrid-cloud foundation of Red Hat® OpenShift®, IBM Cloud Pak for Data takes advantage of the underlying resource and infrastructure optimization and management. The solution fully supports multicloud environments such as Amazon Web Services (AWS), Azure, Google Cloud, IBM Cloud™ and private cloud deployments. Find out how IBM Cloud Pak for Data can lower your total cost of ownership and accelerate innovation.

IBM

Sample Customers

Adeptia, Tibco, Matillion, Exago, Izenda, Alfresco, Cisco, DataRobot, BigID, Combit

Qatar Development Bank, GuideWell, Skanderborg Music Festival

See our list of best Data Virtualization vendors.

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