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IBM Cloud Pak for Data
IBM Cloud Pak for Data
(88)
4.3 out of 5
IBM Cloud Pak for Data
By IBM
dbt
dbt
(191)
4.7 out of 5
dbt
By Fivetran
At a Glance
IBM Cloud Pak for Data
IBM Cloud Pak for Data
Star Rating
(88)4.3 out of 5
Market Segments
Enterprise (50.0% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for Data
dbt
dbt
Star Rating
(191)4.7 out of 5
Market Segments
Mid-Market (58.5% of reviews)
Information
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about dbt
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 strong choice for organizations needing robust data preparation capabilities. In contrast, dbt, while effective, has a lower score of 7.7 in "Real-Time Analytics," indicating it may not be as suitable for users requiring immediate data insights.
  • Reviewers mention that dbt shines in "Data Transformation" with a score of 9.4, highlighting its user-friendly approach to transforming data models. Conversely, IBM Cloud Pak for Data has a lower score of 7.9 in "Extraction," suggesting it may not be as efficient in this area.
  • G2 users appreciate dbt's "Ease of Use" with a score of 9.0, which is significantly higher than IBM Cloud Pak for Data's score of 8.1. This indicates that dbt may be more accessible for teams looking to quickly adopt a data transformation tool.
  • Users on G2 report that IBM Cloud Pak for Data offers superior "Breadth of Data Sources" with a score of 8.7, making it a versatile option for enterprises needing to connect to various data sources. In comparison, dbt's focus is more on transformation rather than extensive data source connectivity.
  • Reviewers mention that dbt's "Automation" capabilities score an impressive 9.3, allowing users to streamline their workflows effectively. IBM Cloud Pak for Data, while also strong in automation with a score of 9.4, may not provide the same level of user-friendly automation features as dbt.
  • Users say that IBM Cloud Pak for Data's "Quality of Support" is rated at 8.3, which is commendable, but dbt outperforms it with a score of 8.9. This suggests that dbt may offer more responsive and helpful customer support, which is crucial for users needing assistance during implementation.
Pricing
Entry-Level Pricing
IBM Cloud Pak for Data
No pricing available
dbt
No pricing available
Free Trial
IBM Cloud Pak for Data
No trial information available
dbt
Free Trial is available
Ratings
Meets Requirements
8.5
47
9.2
139
Ease of Use
8.1
47
9.0
141
Ease of Setup
7.2
26
8.6
80
Ease of Admin
7.6
27
8.5
58
Quality of Support
8.3
42
8.9
112
Has the product been a good partner in doing business?
8.1
25
8.8
52
Product Direction (% positive)
8.8
47
9.7
126
Features by Category
Business IntelligenceHide 25 FeaturesShow 25 Features
Not enough data
Not enough data
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
Not enough data
Not enough data
Self Service
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
Advanced Analytics
Not enough data
Not enough data
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
Virtual Private Cloud (VPC)Hide 13 FeaturesShow 13 Features
8.5
7
Not enough data
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
Data PreparationHide 15 FeaturesShow 15 Features
Not enough data
8.7
52
Data Source Access
Not enough data
8.8
48
Not enough data
9.2
50
Not enough data
8.6
41
Data Interaction
Not enough data
8.3
41
Not enough data
8.5
44
Not enough data
9.1
49
Not enough data
9.1
47
Not enough data
9.1
42
Not enough data
9.4
48
Not enough data
8.6
44
Not enough data
8.6
44
Data Exporting
Not enough data
8.5
42
Not enough data
8.6
43
Not enough data
9.1
45
Generative AI
Not enough data
6.5
27
ETL ToolsHide 7 FeaturesShow 7 Features
Not enough data
9.0
43
Management
Not enough data
Feature Not Available
Not enough data
8.2
36
Functionality
Not enough data
Feature Not Available
Not enough data
9.2
41
Not enough data
Feature Not Available
Not enough data
9.4
38
Not enough data
9.2
36
Infrastructure as a Service (IaaS)Hide 12 FeaturesShow 12 Features
8.2
9
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
Data Science and Machine Learning PlatformsHide 25 FeaturesShow 25 Features
8.9
14
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 FabricHide 15 FeaturesShow 15 Features
8.7
7
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
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
DataOps PlatformsHide 17 FeaturesShow 17 Features
Not enough data
8.2
60
Data Management
Not enough data
9.2
49
Not enough data
9.1
51
Not enough data
9.1
49
Not enough data
9.3
50
Agentic AI - DataOps Platforms
Not enough data
7.6
9
Not enough data
7.7
8
Not enough data
8.3
10
Not enough data
8.0
9
Not enough data
8.5
9
Analytics
Not enough data
8.7
47
Not enough data
7.3
35
Monitoring and Management
Not enough data
8.7
43
Not enough data
8.9
50
Cloud Deployment
Not enough data
8.7
37
Not enough data
8.8
30
Generative AI
Not enough data
5.9
13
Not enough data
6.3
13
Data Warehouse AutomationHide 11 FeaturesShow 11 Features
Not enough data
8.6
40
Automation
Not enough data
8.8
34
Not enough data
8.3
32
Not enough data
8.6
35
Not enough data
Feature Not Available
Functionality
Not enough data
8.6
34
Not enough data
8.6
33
Not enough data
8.4
33
Administration
Not enough data
8.4
36
Not enough data
8.9
34
Not enough data
9.1
34
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Generative AI InfrastructureHide 14 FeaturesShow 14 Features
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
Semantic Layer ToolsHide 17 FeaturesShow 17 Features
Not enough data
Not enough data
Deployment & Integration - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Connectivity & Federation - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling & Metrics - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Governance - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Intelligence - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Enablement - Semantic Layer Tools
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Predictive AnalyticsHide 11 FeaturesShow 11 Features
8.6
11
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
Big Data AnalyticsHide 11 FeaturesShow 11 Features
8.6
34
8.8
39
Data Transformation
8.5
27
|
Verified
8.5
32
9.1
15
|
Verified
9.4
38
Connectivity
8.0
23
|
Verified
8.5
27
8.6
22
|
Verified
8.6
28
8.1
25
|
Verified
8.5
34
8.7
24
|
Verified
9.0
31
Operations
8.7
26
|
Verified
Feature Not Available
8.9
25
|
Verified
9.4
37
8.4
23
|
Verified
8.6
31
8.8
24
|
Verified
8.6
30
8.7
13
|
Verified
8.5
29
Data QualityHide 12 FeaturesShow 12 Features
Not enough data
8.3
47
Functionality
Not enough data
8.7
38
Not enough data
8.4
36
Not enough data
8.6
38
Not enough data
8.2
38
Not enough data
8.4
36
Management
Not enough data
8.4
38
Not enough data
9.2
42
Not enough data
8.9
37
Not enough data
8.2
39
Not enough data
8.3
41
Generative AI
Not enough data
6.3
20
Not enough data
6.7
20
Big DataHide 11 FeaturesShow 11 Features
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
IBM Cloud Pak for Data
dbt
dbt
IBM Cloud Pak for Data and dbt are categorized as Big Data Analytics
Unique Categories
IBM Cloud Pak for Data
dbt
Reviews
Reviewers' Company Size
IBM Cloud Pak for Data
IBM Cloud Pak for Data
Small-Business(50 or fewer emp.)
31.4%
Mid-Market(51-1000 emp.)
18.6%
Enterprise(> 1000 emp.)
50.0%
dbt
dbt
Small-Business(50 or fewer emp.)
26.1%
Mid-Market(51-1000 emp.)
58.5%
Enterprise(> 1000 emp.)
15.4%
Reviewers' Industry
IBM Cloud Pak for Data
IBM Cloud Pak for Data
Computer Software
12.9%
Information Technology and Services
8.6%
Banking
8.6%
Financial Services
5.7%
Education Management
5.7%
Other
58.6%
dbt
dbt
Information Technology and Services
19.7%
Computer Software
16.5%
Financial Services
10.6%
Retail
4.8%
Marketing and Advertising
4.8%
Other
43.6%
Alternatives
IBM Cloud Pak for Data
IBM Cloud Pak for Data Alternatives
Snowflake
Snowflake
Add Snowflake
Vertex AI
Vertex AI
Add Vertex AI
Databricks Data Intelligence Platform
Databricks Data Intelligence Platform
Add Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud BigQuery
Add Google Cloud BigQuery
dbt
dbt Alternatives
Databricks Data Intelligence Platform
Databricks Data Intelligence Platform
Add Databricks Data Intelligence Platform
Alteryx
Alteryx
Add Alteryx
Google Cloud BigQuery
Google Cloud BigQuery
Add Google Cloud BigQuery
SnapLogic Intelligent Integration Platform (IIP)
SnapLogic
Add SnapLogic Intelligent Integration Platform (IIP)
Discussions
IBM Cloud Pak for Data
IBM Cloud Pak for Data Discussions
Monty the Mongoose crying
IBM Cloud Pak for Data has no discussions with answers
See all discussions
dbt
dbt Discussions
What is DBT tool used for?
2 Comments
Ward W.
WW
SQL data transformations.Read more
What is DBT data Modelling?
2 Comments
Tyler H.
TH
dbt data modeling is not a thing. Dbt is a transformation tool that makes it easier to implement data modeling techniques like snowflake, data vault etc. Read more
What is DBT database tool?
1 Comment
Skyler Y.
SY
DBT (DataBase Transformations) uses SQL select statements, with some added magic from Jinja templating language, to model and transform data. It's a highly...Read more
See all discussions
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dbt
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