Compare IBM Cloud Pak for Data and Snowflake 
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Enterprise (47.0% of reviews)
Entry-Level Pricing
No pricing available
$2 Compute/Hour
IBM Cloud Pak for Data
Star Rating
(90)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for DataSnowflake
Star Rating
(584)4.5 out of 5
Market Segments
Enterprise (47.0% of reviews)
Entry-Level Pricing
$2 Compute/Hour
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Snowflake excels in data ingestion and wrangling with a score of 9.5, making it easier to prepare data for analysis compared to IBM Cloud Pak for Data, which has a lower score in this area. Reviewers mention that Snowflake's drag-and-drop interface simplifies the process significantly.
- Reviewers mention that Snowflake's real-time analytics capabilities are impressive, scoring 9.1, while IBM Cloud Pak for Data scores 8.5. Users appreciate how Snowflake allows for immediate insights, which is crucial for time-sensitive decision-making.
- G2 users highlight that Snowflake's query language is highly rated at 9.3, providing a more intuitive experience for users compared to IBM Cloud Pak for Data's score of 9.1. Reviewers say that the ease of writing complex queries in Snowflake enhances productivity.
- Users on G2 report that Snowflake's scalability is a standout feature, scoring 8.9, which allows businesses to grow without performance issues. In contrast, IBM Cloud Pak for Data has a slightly lower scalability score of 9.1, indicating that while it is also scalable, Snowflake may offer a more seamless experience as data needs expand.
- Reviewers mention that Snowflake's data replication feature is rated at 9.1, which is crucial for maintaining data integrity across multiple environments. IBM Cloud Pak for Data also performs well in this area but scores slightly lower, indicating that Snowflake may provide a more robust solution for users needing reliable data replication.
- Users say that Snowflake's customization options are rated at 8.0, allowing for tailored solutions that fit specific business needs. In comparison, IBM Cloud Pak for Data's customization features are rated lower, which may limit flexibility for some users looking for a highly personalized experience.
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Pricing
Entry-Level Pricing
IBM Cloud Pak for Data
No pricing availableSnowflake
Standard
$2
Compute/Hour
Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options.
- Complete SQL Data Warehouse
- Secure Data Sharing across regions / clouds
- Premier Support 24 x 365
Free Trial
IBM Cloud Pak for Data
No trial information availableSnowflake
Free Trial is available
Ratings
Meets Requirements
8.5
49
9.1
427
Ease of Use
8.1
49
9.0
461
Ease of Setup
7.2
27
8.8
248
Ease of Admin
7.6
27
8.6
188
Quality of Support
8.3
44
8.6
386
Has the product been a good partner in doing business?
8.1
25
9.0
189
Product Direction (% positive)
8.8
49
9.1
398
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
Deployment
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
Deployment
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
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
Operations
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
Generative AI
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
8.8
11
Not enough data
9.0
10
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
7.8
12
Not enough data
8.5
10
Not enough data
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
8.5
9
Not enough data
9.2
8
Not enough data
8.7
9
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
Deployment
8.5
10
Not enough data
8.8
11
Not enough data
9.1
11
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
8.3
5
Not enough data
Analytics
Not enough data
Not enough data
Security
9.0
5
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Management
Not enough data
8.9
124
|
Verified
Not enough data
8.8
110
|
Verified
Not enough data
8.9
120
|
Verified
Not enough data
8.1
113
|
Verified
Not enough data
8.0
95
|
Verified
Not enough data
8.6
99
|
Verified
Integration
Not enough data
8.0
88
|
Verified
Not enough data
8.7
114
|
Verified
Not enough data
8.8
105
|
Verified
Deployment
Not enough data
7.5
87
|
Verified
Not enough data
9.2
118
|
Verified
Performance
Not enough data
9.2
120
|
Verified
Security
Not enough data
8.7
111
|
Verified
Not enough data
9.0
122
|
Verified
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Management
Not enough data
8.8
56
Not enough data
9.0
56
Not enough data
9.3
61
Not enough data
8.7
59
Not enough data
8.9
60
Maintenance
Not enough data
9.2
58
Not enough data
8.8
57
Not enough data
9.3
58
Security
Not enough data
9.1
58
Not enough data
9.1
60
Storage
Not enough data
9.1
37
Not enough data
9.1
36
Availability
Not enough data
9.0
32
Not enough data
9.2
30
Not enough data
9.1
34
Performance
Not enough data
9.2
36
Security
Not enough data
9.0
36
Not enough data
9.2
37
Not enough data
8.9
30
Not enough data
9.1
31
Support
Not enough data
9.3
29
Not enough data
9.0
28
Centralized computation
Not enough data
8.9
14
Localized computation
Not enough data
8.6
14
Data
Not enough data
Not enough data
Not enough data
Not enough data
Interaction
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
Learning
Not enough data
Not enough data
Not enough data
Not enough data
Content Generation
Not enough data
Not enough data
Not enough data
Not enough data
System
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
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Database
Not enough data
8.7
70
Not enough data
9.2
73
Not enough data
9.3
68
Integrations
Not enough data
8.5
51
Not enough data
8.7
55
Platform
Not enough data
9.0
64
Not enough data
9.0
70
Not enough data
8.7
55
Processing
Not enough data
9.2
68
Not enough data
9.0
67
Data Transformation
8.5
27
|
Verified
9.1
44
9.1
15
|
Verified
9.0
44
Connectivity
8.0
23
|
Verified
8.0
39
8.6
22
|
Verified
8.4
39
8.1
25
|
Verified
8.8
39
8.7
24
|
Verified
8.8
41
Operations
8.7
26
|
Verified
7.9
43
8.9
25
|
Verified
8.8
40
8.4
23
|
Verified
8.6
37
8.8
24
|
Verified
8.3
40
8.7
13
|
Verified
8.3
37
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 Snowflake are categorized as Big Data Analytics and Data Science and Machine Learning Platforms
Unique Categories
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Predictive Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
Snowflake is categorized as AI Chatbots, Data Clean Room, Columnar Databases, MLOps Platforms, Big Data Integration Platforms, Big Data Processing and Distribution, Database Management Systems (DBMS), and Data Warehouse
Reviews
Reviewers' Company Size
IBM Cloud Pak for Data
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Snowflake
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
12.5%
Information Technology and Services
9.7%
Banking
8.3%
Financial Services
5.6%
Education Management
5.6%
Other
58.3%
Computer Software
13.6%
Information Technology and Services
12.9%
Financial Services
10.8%
Hospital & Health Care
4.3%
Marketing and Advertising
3.9%
Other
54.5%
Most Helpful Reviews
IBM Cloud Pak for Data
Most Helpful Favorable Review
Nagaraj Kumar N.
Verified User in Consumer Electronics
We didn't have any other product in market that matches ICP4D All products are public cloud focused. No product vendors are focusing the private cloud . ICP address it.
Most Helpful Critical Review
Verified User in Health, Wellness and Fitness
Challenges accross multiple cloud environments
Snowflake
Most Helpful Favorable Review
Verified User in Consumer Goods
The ability to spin up larger computes (or as they call warehouses) is amazing for the large ETL tasks. The semi-structured data support with JSON columns and querying directly into them is a true godsend.
Most Helpful Critical Review
Verified User in Internet
My main disappointment was with their support. We had an issue as soon as we signed a contract and it was about billing which seemed to be pushed off with no urgency and still not completed. Something like this I would have expected to be resolved within...
Nagaraj Kumar N.
Verified User in Consumer Electronics
We didn't have any other product in market that matches ICP4D All products are public cloud focused. No product vendors are focusing the private cloud . ICP address it.
Verified User in Consumer Goods
The ability to spin up larger computes (or as they call warehouses) is amazing for the large ETL tasks. The semi-structured data support with JSON columns and querying directly into them is a true godsend.
Verified User in Health, Wellness and Fitness
Challenges accross multiple cloud environments
Verified User in Internet
My main disappointment was with their support. We had an issue as soon as we signed a contract and it was about billing which seemed to be pushed off with no urgency and still not completed. Something like this I would have expected to be resolved within...
Alternatives
Discussions
IBM Cloud Pak for Data has no discussions with answers
What's the best way to manage change data capture in Snowflake?
4 comments
VT
You might get a relevant answer from it.Read more
which is best snowflake or My sql
2 comments
LH
Depends on your needs. MySQL is open source/free. It or Postgres (another open source db) is good for pretty much any normal need. You can install on...Read more
What is the difference between Snowflake vs Redshift? Which one is Good to Learn.
2 comments
DW
I've used both; Snowflake is superior in my view. Redshift certainly offers a lot of power being an AWS product, however Snowflake is more fully-featured....Read more
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