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# Azure Databricks vs IBM Cloud Pak for Data Comparison - What are their main differences?

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Azure DatabricksIBM Cloud Pak for Data[+ Add Product](#)

Reviews

**Azure Databricks** [

4.5/5(239)

](https://www.g2.com/products/azure-databricks/reviews#reviews)

**IBM Cloud Pak for Data** [

4.3/5(89)

](https://www.g2.com/products/ibm-cloud-pak-for-data/reviews#reviews)

Pricing

**Azure Databricks**
No pricing available

**IBM Cloud Pak for Data**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Azure Databricks**
3 monthsFaster

Based on 6 responses

**IBM Cloud Pak for Data**
4 months

Based on 5 responses

Return on Investment

**Azure Databricks**
23 months

Based on 5 responses

**IBM Cloud Pak for Data**
19 months4 months sooner

Based on 6 responses

Perceived Cost

**Azure Databricks**
$$$$$

**IBM Cloud Pak for Data**
$$$$$

Average Discount

**Azure Databricks**
Not enough reviews yet

**IBM Cloud Pak for Data**
Not enough reviews yet

Pros & Cons

**Azure Databricks**
[
Ease of Use (7)
](https://www.g2.com/products/azure-databricks/reviews?filters%5Bsentiment_snippet%5D=1042715&qs=pros-and-cons#reviews)[
Features (6)
](https://www.g2.com/products/azure-databricks/reviews?filters%5Bsentiment_snippet%5D=1042693&qs=pros-and-cons#reviews)[
Complexity (3)
](https://www.g2.com/products/azure-databricks/reviews?filters%5Bsentiment_snippet%5D=2304252&qs=pros-and-cons#reviews)[
Difficult Setup (3)
](https://www.g2.com/products/azure-databricks/reviews?filters%5Bsentiment_snippet%5D=2304372&qs=pros-and-cons#reviews)

**IBM Cloud Pak for Data**
Not enough data

Integrations

**Azure Databricks**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_f176b4154a751d10150daa67a57b7dc5/azure-data-factory.jpg "Product Avatar Image")

Azure Data Factory

](https://www.g2.com/products/azure-data-factory/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_f176b4154a751d10150daa67a57b7dc5/azure-data-lake-store.jpg "Product Avatar Image")

Azure Data Lake Store

](https://www.g2.com/products/azure-data-lake-store/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_756e21e5ff45db664431b3ea10f16115/azure-synapse-analytics.jpg "Product Avatar Image")

Azure Synapse Analytics

](https://www.g2.com/products/azure-synapse-analytics/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_2b00e05c107c3273cea5264090c3c1d0/snowflake.jpg "Product Avatar Image")

Snowflake

](https://www.g2.com/products/snowflake/reviews)[
View all
](https://www.g2.com/products/azure-databricks/integrations)

**IBM Cloud Pak for Data**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-orchestrate.jpg "Product Avatar Image")

IBM watsonx Orchestrate

](https://www.g2.com/products/ibm-watsonx-orchestrate/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-ai.jpg "Product Avatar Image")

IBM watsonx.ai

](https://www.g2.com/products/ibm-watsonx-ai/reviews)[
View all
](https://www.g2.com/products/ibm-cloud-pak-for-data/integrations)

Screenshots

**Azure Databricks**
No screenshot available

**IBM Cloud Pak for Data**
 ![IBM Cloud Pak for Data screenshot](https://images.g2crowd.com/cdn-cgi/image/width=600,height=600,fit=scale-down,format=auto,onerror=redirect,/https://images.g2crowd.com/uploads/attachment/file/135683/1.-CP4D-Homepage.png)

Ratings

Meets Requirements

**Azure Databricks**

8.9

8.9170

**IBM Cloud Pak for Data**

8.5

8.548

Ease of Use

**Azure Databricks**

8.7

8.7172

**IBM Cloud Pak for Data**

8.1

8.148

Ease of Setup

**Azure Databricks**

8.7

8.785

**IBM Cloud Pak for Data**

7.2

7.227

Ease of Admin

**Azure Databricks**

8.5

8.561

**IBM Cloud Pak for Data**

7.6

7.627

Quality of Support

**Azure Databricks**

8.5

8.5156

**IBM Cloud Pak for Data**

8.3

8.343

Has the product been a good partner in doing business?

**Azure Databricks**

8.8

8.860

**IBM Cloud Pak for Data**

8.1

8.125

Product Direction (% positive)

**Azure Databricks**

9.5

9.5161

**IBM Cloud Pak for Data**

8.8

8.848

Features

Big Data Analytics[Hide 49 FeaturesShow 49 Features](javascript:void(0);)

8.8

170

8.6

35

Data Transformation

Real-Time Analytics

8.9(won by 0.4)

137

|

Verified

8.5

28

|

Verified

Data Querying

9.3(won by 0.1)

90

|

Verified

9.2

16

|

Verified

Reporting/Analytics

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Connectivity

Hadoop Integration

8.4(won by 0.4)

122

|

Verified

8.0

23

|

Verified

Spark Integration

9.0(won by 0.4)

141

|

Verified

8.6

22

|

Verified

Multi-Source Analysis

9.0(won by 0.9)

133

|

Verified

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.1

25

|

Verified

Data Lake

9.2(won by 0.5)

139

|

Verified

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.7

25

|

Verified

Real-Time Data

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

What-if Analysis

Not enough data

Not enough data

Statistical Analysis

Not enough data

Not enough data

Data Blending

Not enough data

Not enough data

Ad hoc Analysis

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Operations

Data Visualization

8.4

132

|

Verified

8.7(won by 0.3)

26

|

Verified

Data Workflow

8.7

134

|

Verified

8.9(won by 0.2)

25

|

Verified

Governed Discovery

8.5(tied score)

121

|

Verified

8.5(tied score)

24

|

Verified

Embedded Analytics

8.5

113

|

Verified

8.9(won by 0.4)

25

|

Verified

Notebooks

9.3(won by 0.6)

85

|

Verified

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.7

13

|

Verified

Data Discovery

Not enough data

Not enough data

Additional Functionality

Data Warehousing

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Ad hoc Reporting

Not enough data

Not enough data

Customizable Reports

Not enough data

Not enough data

Alerts/Escalation

Not enough data

Not enough data

Templates

Not enough data

Not enough data

Forecasting

Not enough data

Not enough data

Data Migration

Not enough data

Not enough data

Data Transformation

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Cleansing

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Dashboard Creation

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Data Security

Not enough data

Not enough data

SSL Security

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

No-Code

Not enough data

Not enough data

High Volume Processing

Not enough data

Not enough data

Database Support

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Virtual Private Cloud (VPC)[Hide 13 FeaturesShow 13 Features](javascript:void(0);)

Not enough data

8.6

8

Customization

Custom VMs

Not enough data

8.0(won by default)

5

Console Configuration

Not enough data

Not enough data

Operating Systems

Not enough data

Not enough data

Infrastructure

Virtual Machines

Not enough data

9.2(won by default)

6

Network Management

Not enough data

Not enough data

Security

Not enough data

Not enough data

Maintenance

Not enough data

Not enough data

Scalability

Not enough data

Not enough data

Management

Cloud Migration

Not enough data

Not enough data

Storage Management

Not enough data

Not enough data

Analytics

Not enough data

Not enough data

Database Management

Not enough data

Not enough data

Logging

Not enough data

Not enough data

Infrastructure as a Service (IaaS)[Hide 64 FeaturesShow 64 Features](javascript:void(0);)

Not enough data

8.2

9

Infrastructure Provision

Public Cloud

Not enough data

7.7(won by default)

8

Private Cloud

Not enough data

8.1(won by default)

7

Hybrid Cloud

Not enough data

7.9(won by default)

7

Bare Metal

Not enough data

8.3(won by default)

6

High-Performance Computing (HPC)

Not enough data

8.5(won by default)

8

Virtual Machines (VMs)

Not enough data

7.9(won by default)

8

Edge Computing

Not enough data

8.3(won by default)

8

Virtual Networks

Not enough data

8.3(won by default)

7

Cloud Computing

Not enough data

Not enough data

Management

Pay by Usage

Not enough data

8.6(won by default)

7

Usage Tracking

Not enough data

8.3(won by default)

7

Performance Tracking

Not enough data

8.1(won by default)

8

Activity Tracking

Not enough data

Not enough data

Functionality

Resource Auto-Scaling

Not enough data

8.3(won by default)

8

Additional Functionality

Version Control

Not enough data

Not enough data

Database Support

Not enough data

Not enough data

Real-Time Monitoring

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

SSL Security

Not enough data

Not enough data

Configurable Workflow

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Performance Management

Not enough data

Not enough data

Server Monitoring

Not enough data

Not enough data

Data Security

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

API

Not enough data

Not enough data

Compliance Management

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Authentication

Not enough data

Not enough data

Real-Time Analytics

Not enough data

Not enough data

Audit Management

Not enough data

Not enough data

Single Sign On

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Alerts/Escalation

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Resource Management

Not enough data

Not enough data

Activity Management

Not enough data

Not enough data

Scheduling

Not enough data

Not enough data

Load Balancing

Not enough data

Not enough data

Backup and Recovery

Not enough data

Not enough data

User Management

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

Secure Login

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Network Monitoring

Not enough data

Not enough data

Service Level Agreement (SLA) Management

Not enough data

Not enough data

Task Scheduling

Not enough data

Not enough data

Application Management

Not enough data

Not enough data

Resource Allocation & Planning

Not enough data

Not enough data

Real-Time Notifications

Not enough data

Not enough data

Data Migration

Not enough data

Not enough data

Configuration Management

Not enough data

Not enough data

Log Access

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Audit Trail

Not enough data

Not enough data

Secure Data Storage

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Performance Monitoring

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Data Science and Machine Learning Platforms[Hide 75 FeaturesShow 75 Features](javascript:void(0);)

Not enough data

8.9

15

System

Data Ingestion & Wrangling

Not enough data

9.5(won by default)

11

Real-Time Data

Not enough data

Not enough data

Model Development

Language Support

Not enough data

8.3(won by default)

8

Drag and Drop

Not enough data

8.7(won by default)

9

Pre-Built Algorithms

Not enough data

9.2(won by default)

10

Model Training

Not enough data

8.9(won by default)

9

Database Support

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Model Development

Feature Engineering

Not enough data

8.6(won by default)

13

Machine/Deep Learning Services

Computer Vision

Not enough data

8.7(won by default)

9

Natural Language Processing

Not enough data

9.4(won by default)

8

Natural Language Generation

Not enough data

9.6(won by default)

8

Artificial Neural Networks

Not enough data

9.0(won by default)

7

Machine/Deep Learning Services

Natural Language Understanding

Not enough data

9.2(won by default)

8

Deep Learning

Not enough data

9.3(won by default)

7

Deployment

Managed Service

Not enough data

9.3(won by default)

10

Application

Not enough data

9.3(won by default)

10

Scalability

Not enough data

9.0(won by default)

10

Additional Functionality

Customizable Reports

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Semantic Search

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Ad hoc Reporting

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Data Mapping

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

Statistical Analysis

Not enough data

Not enough data

Categorization/Grouping

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Data Profiling

Not enough data

Not enough data

Linked Data Management

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

API

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Ad hoc Analysis

Not enough data

Not enough data

Text Mining

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Predictive Modeling

Not enough data

Not enough data

Real-Time Analytics

Not enough data

Not enough data

Configurable Workflow

Not enough data

Not enough data

Tagging

Not enough data

Not enough data

Endpoint Management

Not enough data

Not enough data

No-Code

Not enough data

Not enough data

Data Preparation

Not enough data

Not enough data

Auditing

Not enough data

Not enough data

Big Data Analytics

Not enough data

Not enough data

ML Algorithm Library

Not enough data

Not enough data

Data Management

Not enough data

Not enough data

Activity Tracking

Not enough data

Not enough data

Data Security

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Generative AI

AI Text Generation

Not enough data

8.3(won by default)

5

AI Text Summarization

Not enough data

8.3(won by default)

5

AI Text-to-Image

Not enough data

8.3(won by default)

5

Generative AI

Not enough data

Not enough data

Agentic AI - Data Science and Machine Learning Platforms

Autonomous Task Execution

Not enough data

Not enough data

Multi-step Planning

Not enough data

Not enough data

Cross-system Integration

Not enough data

Not enough data

Adaptive Learning

Not enough data

Not enough data

Natural Language Interaction

Not enough data

Not enough data

Proactive Assistance

Not enough data

Not enough data

Decision Making

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Data Fabric[Hide 15 FeaturesShow 15 Features](javascript:void(0);)

Not enough data

9.4

9

Data Management

Data Integration

Not enough data

9.7(won by default)

5

Data Discovery

Not enough data

9.3(won by default)

5

Multi - Platform

Not enough data

9.3(won by default)

5

Metadata

Not enough data

8.6(won by default)

6

Analytics

Data Analytics

Not enough data

9.7(won by default)

5

Security

Compliance

Not enough data

9.2(won by default)

6

Governance

Not enough data

9.3(won by default)

5

Data Protection

Not enough data

9.7(won by default)

5

Generative AI

AI Text Generation

Not enough data

Not enough data

AI Text Summarization

Not enough data

Not enough data

Agentic AI - Data Fabric

Autonomous Task Execution

Not enough data

Not enough data

Multi-step Planning

Not enough data

Not enough data

Cross-system Integration

Not enough data

Not enough data

Adaptive Learning

Not enough data

Not enough data

Decision Making

Not enough data

Not enough data

Predictive Analytics[Hide 42 FeaturesShow 42 Features](javascript:void(0);)

Not enough data

8.6

11

Statistical Tool

Scripting

Not enough data

8.3(won by default)

5

Data Mining

Not enough data

8.8(won by default)

8

Algorithms

Not enough data

8.6(won by default)

7

Data Analysis

Analysis

Not enough data

8.7(won by default)

9

Data Interaction

Not enough data

9.0(won by default)

7

Time Series Analysis

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Decision Making

Modeling

Not enough data

8.3(won by default)

6

Data Visualizations

Not enough data

8.8(won by default)

7

Report Generation

Not enough data

8.8(won by default)

8

Data Unification

Not enough data

8.3(won by default)

8

Customizable Reports

Not enough data

Not enough data

Generative AI

AI Text Generation

Not enough data

Not enough data

AI Text Summarization

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

Additional Functionality

Demand Forecasting

Not enough data

Not enough data

AI/Machine Learning

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

For Healthcare

Not enough data

Not enough data

Forecasting

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Decision Support

Not enough data

Not enough data

Modeling & Simulation

Not enough data

Not enough data

Alerts/Notifications

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Retail

Not enough data

Not enough data

For Education

Not enough data

Not enough data

Data Discovery

Not enough data

Not enough data

Graphical Workflow Editor

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Business Rules Management

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Transformation

Not enough data

Not enough data

Data Clustering

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Blending

Not enough data

Not enough data

Data Classification

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

Show 4 feature categories with incomplete data

Artificial Intelligence[Hide 37 FeaturesShow 37 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

Tagging

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Speech Recognition

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Virtual Personal Assistant (VPA)

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Customer Segmentation

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

For eCommerce

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

Customizable Branding

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Document Management

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Machine Learning

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Alerts/Escalation

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Mobile App

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Sales Teams/Organizations

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Chatbot

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

Generative AI[Hide 22 FeaturesShow 22 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

Code Generation

Not enough data

Not enough data

Text to Image

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

API

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Virtual Characters and Avatars

Not enough data

Not enough data

Content Generation

Not enough data

Not enough data

Personalization and Recommendation

Not enough data

Not enough data

Conditional Generation

Not enough data

Not enough data

Transformer Model

Not enough data

Not enough data

Automated Image & Video Editing

Not enough data

Not enough data

Interactive and Co-Creative Systems

Not enough data

Not enough data

Text Summarization

Not enough data

Not enough data

Data Augmentation

Not enough data

Not enough data

Variation Autoencoder Models

Not enough data

Not enough data

Adversarial Training

Not enough data

Not enough data

Transfer Learning and Fine-tuning

Not enough data

Not enough data

Simulation and Scenario Generation

Not enough data

Not enough data

Creative Design

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Prompt Engineering

Not enough data

Not enough data

Foundation Model

Not enough data

Not enough data

Generative AI Infrastructure[Hide 14 FeaturesShow 14 Features](javascript:void(0);)

Not enough data

Not enough data

Scalability and Performance - Generative AI Infrastructure

AI High Availability

Not enough data

Not enough data

AI Model Training Scalability

Not enough data

Not enough data

AI Inference Speed

Not enough data

Not enough data

Cost and Efficiency - Generative AI Infrastructure

AI Cost per API Call

Not enough data

Not enough data

AI Resource Allocation Flexibility

Not enough data

Not enough data

AI Energy Efficiency

Not enough data

Not enough data

Integration and Extensibility - Generative AI Infrastructure

AI Multi-cloud Support

Not enough data

Not enough data

AI Data Pipeline Integration

Not enough data

Not enough data

AI API Support and Flexibility

Not enough data

Not enough data

Security and Compliance - Generative AI Infrastructure

AI GDPR and Regulatory Compliance

Not enough data

Not enough data

AI Role-based Access Control

Not enough data

Not enough data

AI Data Encryption

Not enough data

Not enough data

Usability and Support - Generative AI Infrastructure

AI Documentation Quality

Not enough data

Not enough data

AI Community Activity

Not enough data

Not enough data

Big Data[Hide 17 FeaturesShow 17 Features](javascript:void(0);)

Not enough data

Not enough data

Building Reports

Data Transformation

Not enough data

Not enough data

Data Modeling

Not enough data

Not enough data

WYSIWYG Report Design

Not enough data

Not enough data

Integration APIs

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Platform

Mobile User Support

Not enough data

Not enough data

Customization 

Not enough data

Not enough data

User, Role, and Access Management

Not enough data

Not enough data

Internationalization

Not enough data

Not enough data

Sandbox / Test Environments

Not enough data

Not enough data

Performance and Reliability

Not enough data

Not enough data

Breadth of Partner Applications

Not enough data

Not enough data

Mobile Access

Not enough data

Not enough data

Metadata Management

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![Azure Databricks](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_13aba37ae908d9cf29a2452925257ccc/azure-databricks.jpeg "Azure Databricks")](https://www.g2.com/products/azure-databricks/reviews)

Azure Databricks

Small-Business(50 or fewer emp.)

24.1%

Mid-Market(51-1000 emp.)

28.3%

Enterprise(\> 1000 emp.)

47.6%

[![IBM Cloud Pak for Data](https://images.g2crowd.com/uploads/product/hd_favicon/836e26af0223dcd39231ba7847881ba2/ibm-cloud-pak-for-data.svg "IBM Cloud Pak for Data")](https://www.g2.com/products/ibm-cloud-pak-for-data/reviews)

IBM Cloud Pak for Data

Small-Business(50 or fewer emp.)

30.0%

Mid-Market(51-1000 emp.)

20.0%

Enterprise(\> 1000 emp.)

50.0%

Small-Business

(50 or fewer emp.)

24.1%

30.0%

Mid-Market

(51-1000 emp.)

28.3%

20.0%

Enterprise

(\> 1000 emp.)

47.6%

50.0%

Reviewers' Industry

[![Azure Databricks](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_13aba37ae908d9cf29a2452925257ccc/azure-databricks.jpeg "Azure Databricks")](https://www.g2.com/products/azure-databricks/reviews)
Azure Databricks

Information Technology and Services

23.2%

Computer Software

11.4%

Retail

4.7%

Financial Services

4.7%

Automotive

3.8%

Other

52.1%

[![IBM Cloud Pak for Data](https://images.g2crowd.com/uploads/product/hd_favicon/836e26af0223dcd39231ba7847881ba2/ibm-cloud-pak-for-data.svg "IBM Cloud Pak for Data")](https://www.g2.com/products/ibm-cloud-pak-for-data/reviews)
IBM Cloud Pak for Data

Computer Software

12.9%

Information Technology and Services

10.0%

Banking

8.6%

Education Management

5.7%

Financial Services

5.7%

Other

57.1%

FAQs

## Azure Databricks vs IBM Cloud Pak for Data FAQs

Generated using AI

Last updated: August 14, 2026

### What is the difference between IBM Cloud Pak for Data vs Azure Databricks?

Azure Databricks stands out for its higher reviewer satisfaction scores and ease of use compared to IBM Cloud Pak for Data.

| | [IBM Cloud Pak for Data](https://www.g2.com/products/ibm-cloud-pak-for-data/reviews) | [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) |
| --- | --- | --- |
| G2 Rating (reviews) | 4.3/5 (90 reviews) | 4.5/5 (239 reviews) |
| Largest Segment | Enterprise | Enterprise |
| Ease of Setup score | 7.2 | 8.7 |
| Quality of Support score | 8.3 | 8.5 |
| Top Reviewer-Cited Strength | Comprehensive solution for data-intensive workflows | Ease of use (9 all-time mentions) |

### How do the pricing models of IBM Cloud Pak for Data and Azure Databricks compare?

Azure Databricks is rated higher for value, with a stronger Price/Cost satisfaction score than IBM Cloud Pak for Data.

- **IBM Cloud Pak for Data:** In recent reviews, several reviewers cite the platform as costly and note that the pricing model can be inflexible for startups and small-scale projects.
- **Azure Databricks:** Reviewers frequently mention that while costs can increase with heavy usage, the platform is considered less costly than some competitors and offers strong value for its capabilities.

### What are the best alternatives to IBM Cloud Pak for Data and Azure Databricks?

The top three alternatives to IBM Cloud Pak for Data and Azure Databricks are Alteryx, Databricks, and Snowflake.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [IBM Cloud Pak for Data](https://www.g2.com/products/ibm-cloud-pak-for-data/reviews) | 4.3/5 (90 reviews) | Enterprise | Pricing is considered high for startups and small-scale projects | Comprehensive solution for data-intensive workflows |
| [Azure Databricks](https://www.g2.com/products/azure-databricks/reviews) | 4.5/5 (239 reviews) | Enterprise | Less costly than some competitors, but costs can increase with heavy usage | Ease of use (9 all-time mentions) |
| [Alteryx](https://www.g2.com/products/alteryx/reviews) | 4.6/5 (894 reviews) | Enterprise | — | — |
| [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5 (1366 reviews) | Enterprise | — | — |
| [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.6/5 (763 reviews) | Mid-Market | — | — |

### Which Data Fabric features should I prioritize when comparing IBM Cloud Pak for Data and Azure Databricks?

Buyers should prioritize ease of setup, integrations, data governance, analytics capabilities, and notebook functionality when comparing IBM Cloud Pak for Data and Azure Databricks.

- **Ease of Setup:** Azure Databricks scores 8.7, IBM Cloud Pak for Data scores 7.2.
- **Integrations:** Azure Databricks has 6 all-time integration mentions, including Snowflake (5 all-time mentions); IBM Cloud Pak for Data reviewers highlight integration with Watson Knowledge Catalog and hybrid cloud environments.
- **Data Governance:** IBM Cloud Pak for Data is frequently cited for strong governance and compliance features, including dynamic data masking and automated metadata tagging.
- **Analytics Capabilities:** Azure Databricks is cited for analytics (4 all-time mentions) and speed (5 all-time mentions); IBM Cloud Pak for Data is noted for advanced data model building and AI-powered analytics.
- **Notebook Functionality:** Notebooks are a focus feature for both products, with Azure Databricks receiving frequent positive mentions for collaborative and multi-language support.

### What are the pros and cons of IBM Cloud Pak for Data vs Azure Databricks?

Azure Databricks is strongest in ease of use and integration, while IBM Cloud Pak for Data excels in comprehensive data governance and hybrid cloud capabilities.

- **IBM Cloud Pak for Data strengths:** Comprehensive solution for data-intensive workflows, strong data governance, hybrid and multi-cloud support, advanced AI and analytics integration, dynamic data masking, and automated metadata tagging.
- **IBM Cloud Pak for Data trade-offs:** Reviewers note complex setup, steep learning curve, high cost for small businesses, and a need for substantial IT expertise.
- **Azure Databricks strengths:** Ease of use (9 all-time mentions), strong integrations (6 all-time mentions), speed (5 all-time mentions), analytics (4 all-time mentions), collaborative notebooks, and multi-language support.
- **Azure Databricks trade-offs:** Reviewers cite complex usability (2 all-time mentions), learning curve (3 all-time mentions), unclear pricing (3 all-time mentions), and cluster startup times as trade-offs.

### Is IBM Cloud Pak for Data or Azure Databricks better for small businesses?

Azure Databricks is a better fit for small businesses, as IBM Cloud Pak for Data is primarily used by enterprise reviewers and is frequently cited as costly and complex for smaller teams.

- **IBM Cloud Pak for Data:** Largest segment is Enterprise; reviewers consistently mention that the platform is not suitable for small-scale projects due to high cost and complexity.
- **Azure Databricks:** Largest segment is Enterprise; however, reviewers highlight its ease of use and lower cost compared to competitors, making it more accessible for smaller organizations.

### Which Data Fabric platform has better integrations?

Azure Databricks is favored for integrations, with more reviewer-cited integration mentions and specific third-party tool support.

- **IBM Cloud Pak for Data:** Reviewers highlight integration with Watson Knowledge Catalog and hybrid cloud environments, but do not cite specific third-party integrations with high frequency.
- **Azure Databricks:** Snowflake is mentioned in 5 all-time reviews, and integrations are cited in 6 all-time reviews, with additional mentions of integration with Azure Data Lake and other Azure services.

### How do IBM Cloud Pak for Data and Azure Databricks compare on customer support?

Azure Databricks and IBM Cloud Pak for Data are rated in near-parity on Quality of Support, with Azure Databricks at 8.5 and IBM Cloud Pak for Data at 8.3, a difference below the 0.2-point materiality threshold.

- **IBM Cloud Pak for Data:** Reviewers describe support as generally good, with several citing helpful customer support and global availability, though some mention a need for improvement in responsiveness and documentation.
- **Azure Databricks:** Reviewers consistently rate support highly, noting helpfulness and sufficient documentation, with some citing occasional slow response times but overall positive experiences.

### Which is easier to implement, IBM Cloud Pak for Data or Azure Databricks?

Azure Databricks is rated significantly higher for Ease of Setup (8.7 vs 7.2), indicating it is easier to implement than IBM Cloud Pak for Data.

- **IBM Cloud Pak for Data:** Reviewers frequently mention complex and time-consuming setup, requiring dedicated IT resources and expertise, especially for smaller teams.
- **Azure Databricks:** Reviewers consistently highlight straightforward initial setup, easy onboarding, and user-friendly guidelines, with only occasional mentions of complexity for advanced configurations.

### Which product has better Notebooks?

Azure Databricks is the stronger product for Notebooks, with more frequent positive reviewer mentions and higher ease-of-use scores.

- **IBM Cloud Pak for Data:** Reviewers note support for Notebooks with languages such as Python, Scala, and Java, and integration with Watson Studio, but do not cite Notebooks as a top feature in all-time mentions.
- **Azure Databricks:** Notebooks are frequently cited as a key strength, with reviewers highlighting collaborative, multi-language support and ease of use; Notebooks are mentioned as a focus feature and are positively referenced in recent reviews.

Alternatives

**Azure Databricks Alternatives**

 ![Alteryx](https://images.g2crowd.com/uploads/product/hd_favicon/5200f776b24b5976b8f7d151d1d2e8fd/alteryx.svg "Alteryx")

[
Alteryx
](/products/alteryx/reviews)

 ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake")

[
Snowflake
](/products/snowflake/reviews)

 ![Splunk Enterprise](https://images.g2crowd.com/uploads/product/hd_favicon/b92838221b8df42dd6b5bb09c9f8ff55/splunk-enterprise.svg "Splunk Enterprise")

[
Splunk Enterprise
](/products/splunk-enterprise/reviews)

 ![Dataiku](https://images.g2crowd.com/uploads/product/hd_favicon/3fe6cc82516a2babaa3dfd8f9dfcc4b3/dataiku.svg "Dataiku")

[
Dataiku
](/products/dataiku/reviews)

**IBM Cloud Pak for Data Alternatives**

 ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks")

[
Databricks
](/products/databricks/reviews)

 ![Cloudera](https://images.g2crowd.com/uploads/product/hd_favicon/dcfb9e6879febb34cef773ddde921835/cloudera.svg "Cloudera")

[
Cloudera
](/products/cloudera/reviews)

 ![Snowflake](https://images.g2crowd.com/uploads/product/hd_favicon/1544409170/snowflake.svg "Snowflake")

[
Snowflake
](/products/snowflake/reviews)

 ![Gemini Enterprise Agent Platform](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_aeae116c52945fdecd7ed16d621cb315/gemini-enterprise-agent-platform.png "Gemini Enterprise Agent Platform")

[
Gemini Enterprise Agent Platform
](/products/gemini-enterprise-agent-platform/reviews)

## Azure Databricks vs IBM Cloud Pak for Data

When assessing the two solutions, reviewers found Azure Databricks easier to use, set up, and administer. Reviewers also preferred doing business with Azure Databricks overall.

- Reviewers felt that Azure Databricks meets the needs of their business better than IBM Cloud Pak for Data.
- When comparing quality of ongoing product support, reviewers felt that Azure Databricks is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Azure Databricks over IBM Cloud Pak for Data.