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Compare IBM Cloud Pak for Data and Talend Data Fabric 
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At a Glance
Market Segments
Enterprise (50.0% of reviews)
Mid-Market (41.7% 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
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataTalend Data Fabric
Star Rating
(12)4.4 out of 5
Market Segments
Mid-Market (41.7% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Talend Data FabricSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM Cloud Pak for Data excels in Data Ingestion & Wrangling with a score of 9.5, making it a preferred choice for organizations needing robust data preparation capabilities. In contrast, Talend Data Fabric, while strong, does not match this level of performance in this area.
- Reviewers mention that IBM Cloud Pak for Data offers superior AI Model Training Scalability, which is crucial for enterprises looking to scale their AI initiatives. Talend Data Fabric, while effective, does not provide the same level of scalability, which may limit its appeal for larger organizations.
- G2 users highlight that IBM Cloud Pak for Data's Pre-Built Algorithms feature scores an impressive 9.1, allowing users to quickly implement machine learning models. In comparison, Talend Data Fabric's score of 7.8 indicates it may require more manual effort to achieve similar results.
- Users on G2 report that IBM Cloud Pak for Data's Real-Time Analytics capabilities are rated at 8.5, providing timely insights that are essential for data-driven decision-making. Talend Data Fabric, while capable, does not deliver the same level of immediacy in analytics.
- Reviewers mention that IBM Cloud Pak for Data's Managed Service deployment option scores 9.3, making it easier for organizations to manage their data infrastructure without heavy lifting. Talend Data Fabric's managed service score of 8.5 suggests it may not be as seamless for users seeking hassle-free management.
- Users say that IBM Cloud Pak for Data's Quality of Support is rated at 8.3, indicating a strong support system for users. In contrast, Talend Data Fabric's support rating of 7.7 suggests there may be room for improvement in customer service responsiveness and effectiveness.
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
8.5
11
Ease of Use
8.1
47
7.9
11
Ease of Setup
7.2
26
Not enough data
Ease of Admin
7.6
27
Not enough data
Quality of Support
8.3
42
7.7
10
Has the product been a good partner in doing business?
8.1
25
Not enough data
Product Direction (% positive)
8.8
47
9.0
12
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
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
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%
Information Technology and Services
8.6%
Banking
8.6%
Financial Services
5.7%
Education Management
5.7%
Other
58.6%
Computer Software
25.0%
Information Technology and Services
16.7%
Consulting
8.3%
Semiconductors
8.3%
Retail
8.3%
Other
33.3%
Alternatives
Discussions
IBM Cloud Pak for Data has no discussions with answers
Talend Data Fabric has no discussions with answers
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