Compare IBM Cloud Pak for Data and Talend Data Fabric 
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Mid-Market (45.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
IBM Cloud Pak for Data
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataTalend Data Fabric
Star Rating
(67)4.3 out of 5
Market Segments
Mid-Market (45.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Talend Data FabricSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that IBM Cloud Pak for Data excels in providing a comprehensive integrated approach to data management, governance, analytics, and AI, which has significantly streamlined operations for organizations undergoing digital transformation. Users appreciate its ability to unify siloed data into a central platform, enabling better resource allocation and trend identification.
- Users say that Talend Data Fabric shines with its intuitive interface and robust toolset, which empower both technical and non-technical users to efficiently design and manage data pipelines. The platform's flexibility and extensive connectivity options are frequently highlighted, making it a versatile choice for various data sources.
- Reviewers mention that while both platforms have similar star ratings, IBM Cloud Pak for Data stands out with a higher overall G2 Score, indicating greater user satisfaction. This is reflected in feedback praising its seamless integration with Watson AI services and secure connections to various data sources.
- According to verified reviews, Talend Data Fabric is noted for its ease of implementation, with users finding it straightforward to set up and use. This accessibility is a significant advantage for teams looking to quickly leverage data without extensive training or resources.
- G2 reviewers highlight that IBM Cloud Pak for Data offers superior quality of support, with users reporting positive experiences in resolving issues and receiving guidance. This level of support can be crucial for organizations that rely heavily on data-driven decision-making.
- Users express that while Talend Data Fabric provides a solid foundation for data governance and quality, it sometimes lacks the depth of features found in IBM Cloud Pak for Data, particularly in advanced analytics and AI capabilities. This difference may influence organizations with more complex data needs.
Pricing
Entry-Level Pricing
IBM Cloud Pak for Data
No pricing availableTalend Data Fabric
No pricing availableFree Trial
IBM Cloud Pak for Data
No trial information availableTalend Data Fabric
No trial information availableRatings
Meets Requirements
8.5
47
8.1
52
Ease of Use
8.1
47
8.1
52
Ease of Setup
7.2
26
7.7
17
Ease of Admin
7.6
27
8.0
18
Quality of Support
8.3
42
7.7
49
Has the product been a good partner in doing business?
8.1
25
8.2
17
Product Direction (% positive)
8.8
47
7.9
51
Features by Category
Customization
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure
Not enough data
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure Provision
7.7
8
Not enough data
8.1
7
Not enough data
7.9
7
Not enough data
8.3
6
Not enough data
8.5
8
Not enough data
7.9
8
Not enough data
8.3
8
Not enough data
8.3
7
Not enough data
Management
8.6
7
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
Functionality
8.3
8
Not enough data
System
9.5
11
Not enough data
Model Development
8.3
8
Not enough data
8.5
8
Not enough data
9.1
9
Not enough data
8.8
8
Not enough data
Model Development
8.5
12
Not enough data
Machine/Deep Learning Services
8.7
9
Not enough data
9.4
8
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
Machine/Deep Learning Services
9.2
8
Not enough data
9.3
7
Not enough data
Deployment
9.3
9
Not enough data
9.3
9
Not enough data
8.9
9
Not enough data
Generative AI
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Management
Not enough data
8.9
6
Not enough data
8.0
5
Not enough data
8.6
6
8.3
5
8.7
5
Analytics
Not enough data
8.3
5
Security
9.0
5
8.7
5
Not enough data
8.3
6
Not enough data
8.1
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.3
5
Not enough data
8.8
8
Not enough data
8.6
7
Not enough data
Data Analysis
8.7
9
Not enough data
9.0
7
Not enough data
Decision Making
8.3
6
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
8.3
8
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Transformation
8.5
27
|
Verified
Not enough data
9.1
15
|
Verified
Not enough data
Connectivity
8.0
23
|
Verified
Not enough data
8.6
22
|
Verified
Not enough data
8.1
25
|
Verified
Not enough data
8.7
24
|
Verified
Not enough data
Operations
8.7
26
|
Verified
Not enough data
8.9
25
|
Verified
Not enough data
8.4
23
|
Verified
Not enough data
8.8
24
|
Verified
Not enough data
8.7
13
|
Verified
Not enough data
Functionality
Not enough data
8.2
23
Not enough data
8.1
23
Not enough data
8.2
24
Not enough data
8.3
21
Not enough data
7.1
7
Management
Not enough data
8.0
23
Not enough data
8.6
23
Not enough data
7.1
7
Not enough data
6.7
6
Not enough data
7.5
6
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
IBM Cloud Pak for Data and Talend Data Fabric are categorized as Data Fabric
Unique Categories
IBM Cloud Pak for Data is categorized as Virtual Private Cloud (VPC), Big Data Analytics, Data Science and Machine Learning Platforms, Predictive Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
Talend Data Fabric is categorized as Big Data Integration Platforms and Data Quality
Reviews
Reviewers' Company Size
IBM Cloud Pak for Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Talend Data Fabric
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Computer Software
12.9%
Banking
8.6%
Information Technology and Services
8.6%
Education Management
5.7%
Financial Services
5.7%
Other
58.6%
Computer Software
29.0%
Information Technology and Services
14.5%
Retail
6.5%
Hospital & Health Care
6.5%
Health, Wellness and Fitness
6.5%
Other
37.1%
Alternatives
Discussions
IBM Cloud Pak for Data has no discussions with answers
What language does Talend Open Studio use?
2 Comments
SU
JavaRead more
Talend Data Fabric has no more discussions with answers
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