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Compare Amazon QuickSight and IBM Cloud Pak for Data 
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At a Glance
Market Segments
Small-Business (41.0% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
$3.00 1 user per month
No pricing available
Amazon QuickSight
Star Rating
(679)4.3 out of 5
Market Segments
Small-Business (41.0% of reviews)
Pros & Cons
Entry-Level Pricing
$3.00 1 user per month
Free Trial is available
Browse all 4 pricing plansIBM 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 DataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon QuickSight excels in data ingestion and wrangling with a score of 9.5, making it a preferred choice for those needing efficient data preparation. In contrast, IBM Cloud Pak for Data, while strong, scores lower in this area, indicating a potential gap in user experience for data handling.
- Reviewers mention that Amazon QuickSight's ease of setup is a significant advantage, scoring 8.6, which is notably higher than IBM Cloud Pak for Data's score of 7.2. This suggests that QuickSight may be more user-friendly for organizations looking to implement analytics quickly.
- G2 users highlight the superior real-time analytics capabilities of IBM Cloud Pak for Data, scoring 9.3 compared to QuickSight's 8.5. This feature is crucial for enterprises that require immediate insights from their data.
- Users on G2 report that Amazon QuickSight's customization options are robust, particularly in dashboards and graphs and charts, with scores of 8.4. In contrast, IBM Cloud Pak for Data's customization features, while effective, do not match the same level of user satisfaction.
- Reviewers mention that IBM Cloud Pak for Data shines in data governance with a score of 8.2, which is essential for enterprises focused on compliance and data security. QuickSight, while effective, does not emphasize governance to the same extent.
- Users say that both products perform well in data visualization, but QuickSight's score of 8.7 slightly edges out IBM Cloud Pak for Data's 8.4, indicating a preference for QuickSight in creating visually appealing and informative reports.
Pricing
Entry-Level Pricing
Amazon QuickSight
Reader
$3.00
1 user per month
- Readers in QuickSight can explore interactive dashboards, receive email reports, and download data.
IBM Cloud Pak for Data
No pricing availableFree Trial
Amazon QuickSight
Free Trial is available
IBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
8.2
595
8.5
47
Ease of Use
8.5
605
8.1
47
Ease of Setup
8.4
404
7.2
26
Ease of Admin
8.2
216
7.6
27
Quality of Support
8.4
558
8.3
42
Has the product been a good partner in doing business?
8.3
209
8.1
25
Product Direction (% positive)
8.8
572
8.8
47
Features by Category
Reports
8.2
411
|
Verified
Not enough data
8.0
402
|
Verified
Not enough data
8.3
411
|
Verified
Not enough data
8.2
392
|
Verified
Not enough data
8.4
409
|
Verified
Not enough data
Self Service
8.0
406
|
Verified
Not enough data
8.3
406
|
Verified
Not enough data
8.2
397
|
Verified
Not enough data
8.0
401
|
Verified
Not enough data
8.1
388
|
Verified
Not enough data
7.8
383
|
Verified
Not enough data
Advanced Analytics
8.0
382
|
Verified
Not enough data
8.4
404
|
Verified
Not enough data
8.1
380
|
Verified
Not enough data
Building Reports
8.1
351
|
Verified
Not enough data
8.0
349
|
Verified
Not enough data
7.9
337
|
Verified
Not enough data
8.0
333
|
Verified
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
Reports
8.2
411
|
Verified
Not enough data
8.0
402
|
Verified
Not enough data
8.3
411
|
Verified
Not enough data
8.2
392
|
Verified
Not enough data
8.4
409
|
Verified
Not enough data
Data Preparation
8.0
365
|
Verified
Not enough data
8.2
356
|
Verified
Not enough data
Data Modeling and Blending
8.2
374
|
Verified
Not enough data
8.3
376
|
Verified
Not enough data
8.1
367
|
Verified
Not enough data
Generative AI
7.9
219
Not enough data
8.0
221
Not enough data
Agentic AI - Analytics Platforms
7.6
58
Not enough data
7.4
59
Not enough data
7.7
57
Not enough data
7.5
56
Not enough data
7.7
57
Not enough data
7.5
55
Not enough data
7.8
57
Not enough data
Self Service
8.0
406
|
Verified
Not enough data
8.3
406
|
Verified
Not enough data
8.2
397
|
Verified
Not enough data
8.0
401
|
Verified
Not enough data
8.1
388
|
Verified
Not enough data
7.8
383
|
Verified
Not enough data
Deployment & Integration - Analytics Platforms
8.0
52
Not enough data
7.9
52
Not enough data
7.8
51
Not enough data
8.1
52
Not enough data
Advanced Analytics
8.0
382
|
Verified
Not enough data
8.4
404
|
Verified
Not enough data
8.1
380
|
Verified
Not enough data
Performance & Scalability - Analytics Platforms
8.1
51
Not enough data
8.1
51
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.1
50
Not enough data
8.0
51
Not enough data
8.1
49
Not enough data
Agentic AI Capabilities - Analytics Platforms
7.8
50
Not enough data
7.8
50
Not enough data
8.1
50
Not enough data
7.8
47
Not enough data
Personalized Intelligence - Analytics Platforms
7.6
49
Not enough data
7.9
51
Not enough data
7.6
49
Not enough data
Building Reports
8.1
351
|
Verified
Not enough data
8.0
349
|
Verified
Not enough data
7.9
337
|
Verified
Not enough data
8.0
333
|
Verified
Not enough data
Reports
8.2
411
|
Verified
Not enough data
8.0
402
|
Verified
Not enough data
8.3
411
|
Verified
Not enough data
8.2
392
|
Verified
Not enough data
8.4
409
|
Verified
Not enough data
Self Service
8.0
406
|
Verified
Not enough data
8.3
406
|
Verified
Not enough data
8.2
397
|
Verified
Not enough data
8.0
401
|
Verified
Not enough data
8.1
388
|
Verified
Not enough data
7.8
383
|
Verified
Not enough data
Building Reports
8.1
351
|
Verified
Not enough data
8.0
349
|
Verified
Not enough data
7.9
337
|
Verified
Not enough data
8.0
333
|
Verified
Not enough data
Customization
Not enough data
8.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Infrastructure
Not enough data
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
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
Not enough data
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
Management
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
8.1
8
Functionality
Not enough data
8.3
8
System
Not enough data
9.5
11
Model Development
Not enough data
8.3
8
Not enough data
8.5
8
Not enough data
9.1
9
Not enough data
8.8
8
Model Development
Not enough data
8.5
12
Machine/Deep Learning Services
Not enough data
8.7
9
Not enough data
9.4
8
Not enough data
9.6
8
Not enough data
9.0
7
Machine/Deep Learning Services
Not enough data
9.2
8
Not enough data
9.3
7
Deployment
Not enough data
9.3
9
Not enough data
9.3
9
Not enough data
8.9
9
Generative AI
Not enough data
8.3
5
Not enough data
8.3
5
Not enough data
8.3
5
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
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.3
5
Analytics
Not enough data
Not enough data
Security
Not enough data
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
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
7.8
125
8.3
5
8.1
125
8.8
8
8.1
125
8.6
7
Data Analysis
8.6
126
8.7
9
8.5
125
9.0
7
Decision Making
8.4
126
8.3
6
8.3
128
8.8
7
8.6
126
8.8
8
8.3
123
8.3
8
Generative AI
8.2
92
Not enough data
8.2
91
Not enough data
Data Transformation
Not enough data
8.5
27
|
Verified
Not enough data
9.1
15
|
Verified
Connectivity
Not enough data
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
Operations
Not enough data
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
Building Reports
8.1
351
|
Verified
Not enough data
8.0
349
|
Verified
Not enough data
7.9
337
|
Verified
Not enough data
8.0
333
|
Verified
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
Amazon QuickSight and IBM Cloud Pak for Data are categorized as Predictive Analytics
Unique Categories
Amazon QuickSight is categorized as Embedded Business Intelligence and Analytics Platforms
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Big Data Analytics, Data Science and Machine Learning Platforms, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
Reviews
Reviewers' Company Size
Amazon QuickSight
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Cloud Pak for Data
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
17.2%
Information Technology and Services
14.7%
Financial Services
7.8%
Consulting
4.3%
Computer & Network Security
4.0%
Other
51.9%
Computer Software
12.9%
Information Technology and Services
8.6%
Banking
8.6%
Financial Services
5.7%
Education Management
5.7%
Other
58.6%
Alternatives
Discussions
How does AWS QuickSight work?
2 Comments
MS
It is similar to any other Business intelligence tool, initially we need to have some training on the outer layout and some EXD function for advanced...Read more
What is Amazon QuickSight?
2 Comments
MS
If you're looking for a powerful, cloud-based business intelligence service, Amazon QuickSight deserves serious consideration. With this innovative tool, you...Read more
Is AWS QuickSight free?
2 Comments
MS
No it's not free you need to pay the subscription fee if you are purchasing for any organization or behalf of organization. Read more
IBM Cloud Pak for Data has no discussions with answers
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