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- Azure Databricks-vs-IBM Cloud Pak for Data
Compare Azure Databricks and IBM Cloud Pak for Data 
At a Glance
Market Segments
Enterprise (50.0% of reviews)
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Azure Databricks
Star Rating
(216)4.5 out of 5
Market Segments
Enterprise (50.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure DatabricksIBM 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 DataSummary
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, Azure Databricks, while strong, scores slightly lower in this area.
- Reviewers mention that Azure Databricks shines in Real-Time Analytics with a score of 8.8, which is crucial for businesses that require immediate insights from their data. IBM Cloud Pak for Data, while competent, has a lower score in this category.
- G2 users highlight that Azure Databricks offers superior Spark Integration with a score of 9.0, which is essential for users leveraging big data processing. IBM Cloud Pak for Data, with a score of 8.6, does not match this level of integration.
- Users on G2 report that IBM Cloud Pak for Data provides excellent Customization options, scoring 8.0 for Custom VMs, which is beneficial for enterprises needing tailored solutions. Azure Databricks, however, has a higher overall customization score of 8.3.
- Reviewers mention that Azure Databricks has a more user-friendly Ease of Setup with a score of 8.7, making it easier for teams to get started quickly compared to IBM Cloud Pak for Data, which scores 7.2.
- Users say that both platforms have strong Quality of Support, but Azure Databricks edges out with a score of 8.4 compared to IBM Cloud Pak for Data's 8.3, indicating a slight advantage in customer service responsiveness and effectiveness.
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Pricing
Entry-Level Pricing
Azure Databricks
No pricing availableIBM Cloud Pak for Data
No pricing availableFree Trial
Azure Databricks
No trial information availableIBM Cloud Pak for Data
No trial information availableRatings
Meets Requirements
8.8
152
8.5
49
Ease of Use
8.7
151
8.1
49
Ease of Setup
8.7
65
7.2
27
Ease of Admin
8.5
57
7.6
27
Quality of Support
8.4
140
8.3
44
Has the product been a good partner in doing business?
8.8
56
8.1
25
Product Direction (% positive)
9.5
143
8.8
49
Features by Category
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
Not enough data
8.8
11
Not enough data
9.0
10
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
7.8
12
Not enough data
8.5
10
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
8.5
9
Not enough data
9.2
8
Not enough data
8.7
9
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
Deployment
Not enough data
8.5
10
Not enough data
8.8
11
Not enough data
9.1
11
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
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
Feature Not Available
Not enough data
Feature Not Available
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
Not enough data
8.3
5
Not enough data
8.8
8
Not enough data
8.6
7
Data Analysis
Not enough data
8.7
9
Not enough data
9.0
7
Decision Making
Not enough data
8.3
6
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
8.3
8
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Data Transformation
8.8
121
|
Verified
8.5
27
|
Verified
9.3
74
|
Verified
9.1
15
|
Verified
Connectivity
8.3
111
|
Verified
8.0
23
|
Verified
9.0
124
|
Verified
8.6
22
|
Verified
9.0
120
|
Verified
8.1
25
|
Verified
9.1
123
|
Verified
8.7
24
|
Verified
Operations
8.3
118
|
Verified
8.7
26
|
Verified
8.6
118
|
Verified
8.9
25
|
Verified
8.4
109
|
Verified
8.4
23
|
Verified
8.4
103
|
Verified
8.8
24
|
Verified
9.3
68
|
Verified
8.7
13
|
Verified
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
Azure Databricks and IBM Cloud Pak for Data are categorized as Big Data Analytics
Unique Categories
Azure Databricks has no unique categories
IBM Cloud Pak for Data is categorized as Data Fabric, Virtual Private Cloud (VPC), Data Science and Machine Learning Platforms, Predictive Analytics, Infrastructure as a Service (IaaS), and Generative AI Infrastructure
Reviews
Reviewers' Company Size
Azure Databricks
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
Information Technology and Services
21.1%
Computer Software
12.6%
Retail
5.3%
Financial Services
4.7%
Hospital & Health Care
4.2%
Other
52.1%
Computer Software
12.5%
Information Technology and Services
9.7%
Banking
8.3%
Financial Services
5.6%
Education Management
5.6%
Other
58.3%
Most Helpful Reviews
Azure Databricks
Most Helpful Favorable Review
AKHIL K.
Verified User in Information Technology and Services
As a person who is working in the data field, it's a very important tool in my day-to-day life. I tried with a lot of platforms such as ubuntu to install Pyspark and work with data. But the benefit of azure data bricks is that is simplicity. A user-friendly...
Most Helpful Critical Review
karthik k.
Verified User in Computer Software
Despite having many features and guides, the Azure Databricks team does not offer any guidance for deploying new features or upgrading versions.
IBM Cloud Pak for Data
Most Helpful Favorable Review
Tamer S.
Verified User in Construction
Unifying siloed data across our projects into a central platform has been fantastic. This capability has been invaluable, enabling us to consolidate disparate data sources, identify critical trends, and optimize resource allocation with percise.
Most Helpful Critical Review
Verified User in Banking
Not CIS compliant by default (security)
AKHIL K.
Verified User in Information Technology and Services
As a person who is working in the data field, it's a very important tool in my day-to-day life. I tried with a lot of platforms such as ubuntu to install Pyspark and work with data. But the benefit of azure data bricks is that is simplicity. A user-friendly...
Tamer S.
Verified User in Construction
Unifying siloed data across our projects into a central platform has been fantastic. This capability has been invaluable, enabling us to consolidate disparate data sources, identify critical trends, and optimize resource allocation with percise.
karthik k.
Verified User in Computer Software
Despite having many features and guides, the Azure Databricks team does not offer any guidance for deploying new features or upgrading versions.
Verified User in Banking
Not CIS compliant by default (security)
Alternatives
Discussions
Is Azure Databricks PaaS or SAAS?
2 comments
PG
Its PaaS tool as it offers developers to build their ETL pipelines for large datasets using multi cluster environment of sparkRead more
What is the best way to databricks in ADF
1 comment
AS
Firstly, you need to create a Linked Service for ADF to connect to your Databricks Cluster. You can connect to as many clusters as you want.
Then create a...Read more
IBM Cloud Pak for Data has no discussions with answers
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