IBM Cloud Pak for Data vs Talend Data Fabric comparison

IBM and Qlik are both solutions in the Data Integration category. IBM is ranked #15 with an average rating of 8.6, while Qlik is ranked #36 with an average rating of 7.0. IBM holds a 1.1% mindshare in DI, compared to Qlik’s 0.8% mindshare. Additionally, 92% of IBM users are willing to recommend the solution, compared to 85% of Qlik users who would recommend it.

IBM Cloud Pak for Data

Read 22 IBM Cloud Pak for Data reviews

3,277 Views
3,015 Comparison Views

92% willing to recommend

Talend Data Fabric

Read 8 Talend Data Fabric reviews

2,188 Views
2,100 Comparison Views

85% willing to recommend

IBM Cloud Pak for Data

Talend Data Fabric

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Executive SummaryUpdated on Dec 19, 2024

Talend Data Fabric and IBM Cloud Pak for Data are both prominent players in the data integration and management category. While Talend Data Fabric highlights pricing and deployment simplicity, IBM Cloud Pak for Data stands out with its comprehensive platform and feature set, justifying a higher investment.

Features: Talend Data Fabric provides an open-source integration platform with notable data quality and governance capabilities. It supports multi-cloud purposes, allowing data orchestration across various platforms. Additionally, it offers valuable data connection, business queries, and schema management. IBM Cloud Pak for Data features data virtualization and reporting, containerization for cloud flexibility, and the Watson Knowledge Catalog for data governance. It integrates with IBM MQ and other tools, offering a robust modeler flows feature for graphical model development.

Room for Improvement: Talend Data Fabric could enhance its user interface to streamline data workflows and extend support for real-time data integration. There is also a need for better documentation to aid new users in maximizing the platform's capabilities. Additionally, expanding its library of connectors could further improve integration processes. IBM Cloud Pak for Data would benefit from simplifying its deployment architecture to reduce complexity and improve initial user orientation. Enhancing the ease of configuration and providing more intuitive user interfaces could improve usability. It could also streamline its AI-driven analytics to make it more accessible.

Ease of Deployment and Customer Service: Talend Data Fabric is recognized for its straightforward deployment and flexible integration options which make implementation processes easier. Its customer service is efficient and supports rapid issue resolution. IBM Cloud Pak for Data, with its extensive architecture, can present a more complex deployment scenario but offers comprehensive customer support to navigate these complexities and provide guided implementations.

Pricing and ROI: Talend Data Fabric is appreciated for its cost-effective pricing model, offering predictable costs and minimizing initial setup expenses, resulting in a significant ROI. IBM Cloud Pak for Data requires a larger upfront investment but delivers substantial ROI through its comprehensive data solutions and extensive AI capabilities over time, making it an effective investment for organizations targeting in-depth data analysis.

To learn more, read our detailed IBM Cloud Pak for Data vs. Talend Data Fabric Report (Updated: June 2026).

Buyer's Guide

IBM Cloud Pak for Data vs. Talend Data Fabric

June 2026

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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 Cloud Pak for Data

Ranking in Data Integration

15th

Average Rating

8.2

Reviews Sentiment

6.1

Number of Reviews

Ranking in other categories

Data Virtualization (3rd)

Talend Data Fabric

Ranking in Data Integration

36th

Average Rating

8.4

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

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 Talend Data Fabric is 0.8%, down from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Integration Mindshare Distribution
Product	Mindshare (%)
IBM Cloud Pak for Data	1.1%
Talend Data Fabric	0.8%
Other	98.1%

Data Integration

Featured Reviews

Raman Shihan

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.

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Salini RAVINDRANATH

Solution Architect at Spire Solutions

Data governance has improved and complex integrations are handled with flexible customization

Regarding Talend Data Fabric, the ease of use and the customization options that are available are particularly valuable. There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready. Talend Data Catalog is another product that, when combined with Talend Data Fabric, can be used for the data governance piece. The stewardship, ownership, and curation happen mainly from the Data Catalog side. Within Talend Data Fabric, the role-based access control is used for user segregations such as security infrastructure-related or integration-related activities. It bifurcates the roles and responsibilities. From the data standpoint, the RBAC functions with the help of Data Catalog.

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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

"IBM Cloud Pak for Data has enabled us to access diffuse data quickly across hybrid networks and given our teams an edge in data management through automation while adhering to compliance regulations."

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

"For us, IBM Cloud Pak for Data is the best option on the market at the moment."

"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."

"If you need to connect multiple data sources, ingest data and run AI/ML algorithm, IBM Cloud Pak for Data is very good solution."

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

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

"IBM Cloud Pak for Data is a very useful tool because it has the entire gamut of tools, starting from collecting the data from various sources using direct integration or through data virtualization and then organizing it into catalogs and applying their organization's policies or if they have other enforcement policies on top of that."

More IBM Cloud Pak for Data pros

"There are a lot of built-in components and features that we can modify in any way we want to transform the data and make it analytics ready."

"It is a smart tool for us to design data pipelines. It lets us populate our three data lake instances. We like this solution for its connection capabilities, since it is very important to be able to use many different types of software. We tested a lot of SAP sources successfully, including cloud sources with SAP. It is also very easy to anonymize data with TIBCO, as well as populating HDFS files, packet files, and raw files. It is very easy to do that with Talend Data Fabric."

"What I find most valuable about this solution is the 900 connectors because it allows me to integrate any tool and any cloud system I need to integrate and they have a connector out of the box."

"Everything in Talend Data Fabric is GUI-based, making it very user-friendly and easy to learn quickly."

"We've had no issues with the stability so far."

"From my experience around Business Intelligence for data and analytics for around twenty-something years, I can say that what I appreciate about Talend Data Fabric is that we can connect sources to everything and be able to customize everything."

"Talend can be used for multi-cloud purposes, allowing users to orchestrate data across various cloud platforms without purchasing AWS Glue, Azure Data Factory, or similar cloud-specific tools."

"The Talend data integration has been one of the most valuable features."

More Talend Data Fabric pros

Cons

"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 setup for IBM Cloud Pak for Data is very complex, and our teams responsible for standing up the environment struggled a lot."

"The initial setup was a little complex. It is not that user-friendly, and it needs quite a bit of expertise to install, the installation between various different vendors is even more difficult, such as deploying it on the IBM Cloud is relatively easier than having it installed in Amazon AWS or Microsoft Azure, or similar cloud service."

"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."

"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."

"Areas within IBM Cloud Pak for Data that have room for improvement include user interface design and integration capabilities."

"To improve IBM Cloud Pak for Data, I suggest more out-of-the-box integration, enhancement of analytics to be sharper, and the deployment options should be very flexible."

"One challenge I'm facing with IBM Cloud Pak for Data is native features have been decommissioned, such as XML input and output."

More IBM Cloud Pak for Data cons

"Deployment can be difficult, but I didn't test the latest version yet."

"We are currently using version 7.3.1, but preferred the version before. The problem that we currently have is that Talend are releasing patches for Talend Studio every quarter. Our technical team has to be on top of these patches and constantly ensure everything is updated."

"I would like to see better integration with other tools."

"Deployment can be difficult, but I didn't test the latest version yet. With Talend products, every release brings a lot of new features and functionalities. This is never a small adaptation, because the tool is maturing, but we need to test the latest version and to check its deployment capabilities."

"Talend's architecture is complex to configure, especially due to the various components involved. It requires a more intricate setup."

"I would like to see better integration with other tools because every tool waiting for approval in terms of leveraging machine learning takes a long time."

"The support is not very good. The team is not well-trained, and resolving a ticket can require several discussions."

"We encounter issues getting email notifications. They should provide enough information about the configuration process for email components."

More Talend Data Fabric cons

Pricing and Cost Advice

"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."

"It's quite expensive."

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

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

"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."

"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."

"The solution is expensive."

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

"There are multiple subscriptions available with Talend, each with its own scope. Subscriptions depend on the number of users you have and how many remote engines you want to install."

"There are no additional licensing fees when you scale"

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Manufacturing Company

10%

Computer Software Company

University

Comms Service Provider

11%

Computer Software Company

University

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	10
Large Enterprise	20

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	1
Large Enterprise	3

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.

See all answers

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...

See all answers

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...

See all answers

What needs improvement with Talend Data Fabric?

Regarding the downsides of Talend Data Fabric, I think they can improve overall pricing. It is a challenging question to answer because, while I see advantages, the disadvantages revolve mostly aro...

See all answers

What is your primary use case for Talend Data Fabric?

I am currently phasing out of Talend Data Fabric, as the client where I have worked for many years migrated out of Talend this year into a different tool. I have helped the team to migrate out of T...

See all answers

What advice do you have for others considering Talend Data Fabric?

At the moment of phasing out Talend Data Fabric, maintenance from my end is not applicable. A new user would need to monitor the drivers associated with the tools being used closely. For example, i...

See all answers

Comparisons

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Compared 15% of the time

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Compared 6% of the time

Import.io vs IBM Cloud Pak for Data

Compared 6% of the time

Azure Data Factory vs IBM Cloud Pak for Data

Compared 6% of the time

Denodo vs IBM Cloud Pak for Data

Compared 6% of the time

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Qlik Talend Cloud vs Talend Data Fabric

Compared 9% of the time

Hevo vs Talend Data Fabric

Compared 8% of the time

Azure Data Factory vs Talend Data Fabric

Compared 8% of the time

Denodo vs Talend Data Fabric

Compared 6% of the time

WSO2 Enterprise Integrator vs Talend Data Fabric

Compared 6% of the time

More Talend Data Fabric Competitors

Product Reports

Buyer's Guide

IBM Cloud Pak for Data

June 2026

Download IBM Cloud Pak for Data product report

Buyer's Guide

Talend Data Fabric

May 2026

Download Talend Data Fabric product report

Also Known As

Cloud Pak for Data

No data available

Overview

IBM Cloud Pak for Data is a comprehensive platform integrating data management, AI, and machine learning capabilities tailored for hybrid environments. It's renowned for enhancing productivity through efficient data analytics and management.

This platform offers data virtualization, robust analytics, and AI-driven processes. Its integration capabilities, including IBM MQ and App Connect, facilitate seamless data connections. Users benefit from containerization, data governance, and compatibility with hybrid systems, improving decision-making and management productivity. However, the requirement of extensive infrastructure and performance challenges can impact scalability for small businesses.

What are the key features of IBM Cloud Pak for Data?

Watson Knowledge Catalog: Organizes data for accessibility and insight extraction.
Data Virtualization: Provides a unified data view across sources without copying data.
Robust Analytics: Offers advanced analytics tools for data-driven decision-making.
Integration Capabilities: Includes IBM MQ and App Connect for seamless data integration.
AI and Machine Learning: Supports AI-driven insights and learning models.

What benefits or ROI should users expect?

Enhanced Productivity: Streamlines data management processes, enhancing efficiency.
Better Business Decisions: Utilizes analytics for informed strategic choices.
Improved Data Governance: Ensures compliance and quality in data handling.
Collaboration: Encourages teamwork with a comprehensive platform supporting analytics.

In the financial and banking sectors, IBM Cloud Pak for Data is utilized for data management tasks like spend analytics and contract leakage analysis. It's used for data integration, machine learning, and AI-driven analytics to transform data into valuable insights in industries such as FinTech and consultancy.

IBM

Talend Data Fabric provides a comprehensive solution for managing data pipelines, offering features like data connection, business queries, and schema management. Its user-friendly GUI and multi-cloud orchestration capabilities make it a critical tool for modern data processing needs.

Talend Data Fabric enhances data management by providing 900 connectors for tool integration, supporting multi-cloud orchestration without additional investments. With a user-friendly GUI in Talend Studio and an admin console, it ensures efficient task management. Customization is a key feature valued by developers. While priced as a challenge post-Click transition, eliminating its free license version, opportunities lie in improving its email configuration, deployment ease across platforms, and better integration with other tools. Documentation on data governance and memory management tools could be refined, and the integration of machine learning should be streamlined. Use cases involve data extraction, uploading, integration, and quality management. Organizations utilize it for designing data pipelines, popularizing APIs, anonymizing data, and managing big data processing through clusters like Spark.

What are the main features of Talend Data Fabric?

Data Connection: Facilitates robust connections across multi-cloud environments.
Schema Management: Streamlines schema creation and modifications.
Business Queries: Provides powerful tools for crafting detailed queries.
User-Friendly GUI: Simplifies navigation through Talend Studio and admin console.
900 Connectors: Offers extensive tool integration potential.
Customization: Allows developers to tailor solutions to specific needs.

What benefits should users look for?

Comprehensive Integration: Reduces the need for multiple vendors.
Cloud Support: Enables seamless orchestration across multiple clouds.
Big Data Processing: Manages large-scale data efficiently through clusters like Spark.
API Integration: Facilitates smooth connections with APIs for data interchange.

In industries like finance and healthcare, Talend Data Fabric is used to design secure data pipelines, ensuring compliance and data integrity. Retailers utilize it for streamlined supply chain data integration, while telecommunications rely on it for customer data management and analytics. Its multi-cloud capabilities and rich connector library support diverse industry needs.

Qlik

Sample Customers

Qatar Development Bank, GuideWell, Skanderborg Music Festival

Information Not Available

Buyer's Guide

IBM Cloud Pak for Data vs. Talend Data Fabric

June 2026

Free Report: IBM Cloud Pak for Data vs. Talend Data Fabric

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