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Compare Databricks Data Intelligence Platform and IBM Cloud Pak for Integration 
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At a Glance
Market Segments
Enterprise (46.1% of reviews)
Mid-Market (36.8% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(633)4.6 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformIBM Cloud Pak for Integration
Star Rating
(49)4.2 out of 5
Market Segments
Mid-Market (36.8% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about IBM Cloud Pak for IntegrationSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in real-time processing with a score of 8.1, allowing for immediate data insights, while IBM Cloud Pak for Integration has a lower score in this area, indicating potential delays in data handling.
- Reviewers mention that Databricks shines in data integration with a score of 9.0, making it easier to connect various data sources seamlessly, whereas IBM Cloud Pak for Integration, with a score of 8.9, may not offer the same level of flexibility and ease of use.
- G2 users highlight that the workflow management capabilities of Databricks, scoring 9.3, provide a more intuitive experience for managing data processes compared to IBM Cloud Pak for Integration, which scored 8.6, suggesting a less streamlined approach.
- Users on G2 report that Databricks' data modeling features, with a score of 8.0, are more robust and user-friendly, while IBM Cloud Pak for Integration's score of 7.9 indicates some limitations in this area, potentially affecting user experience.
- Reviewers mention that the quality of support for Databricks, scoring 8.4, is generally perceived as superior, with users appreciating timely assistance, whereas IBM Cloud Pak for Integration's score of 7.8 suggests room for improvement in customer support services.
- Users say that Databricks offers better scalability with a score of 9.0, allowing businesses to grow without performance issues, while IBM Cloud Pak for Integration, scoring 8.9, may face challenges as user demands increase.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableIBM Cloud Pak for Integration
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
IBM Cloud Pak for Integration
No trial information availableRatings
Meets Requirements
8.9
517
8.2
26
Ease of Use
8.8
526
7.4
26
Ease of Setup
8.7
399
6.8
15
Ease of Admin
8.3
170
7.1
14
Quality of Support
8.7
492
7.7
25
Has the product been a good partner in doing business?
8.8
173
7.3
14
Product Direction (% positive)
9.6
505
8.1
24
Features by Category
Reports
7.9
7
Not enough data
7.9
7
Not enough data
8.1
7
Not enough data
8.1
6
Not enough data
8.3
6
Not enough data
Data Preparation
Not enough data
Not enough data
Not enough data
Not enough data
Data Modeling and Blending
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
Agentic AI - Analytics 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
Self Service
7.9
7
Not enough data
7.6
7
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
7.9
7
Not enough data
7.8
6
Not enough data
Deployment & Integration - Analytics 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
Advanced Analytics
8.3
7
Not enough data
8.3
6
Not enough data
8.6
6
Not enough data
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics 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
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
Not enough data
Data
Not enough data
8.6
7
Not enough data
8.3
7
Not enough data
9.2
6
Not enough data
8.1
7
Analytics
Not enough data
8.3
7
Administration
8.8
94
Not enough data
8.7
91
Not enough data
9.0
92
Not enough data
8.7
93
Not enough data
Management
8.5
85
Not enough data
8.7
84
Not enough data
8.6
85
Not enough data
8.5
83
Not enough data
8.7
83
Not enough data
Compliance
8.8
92
Not enough data
8.7
91
Not enough data
8.9
90
Not enough data
8.7
90
Not enough data
Security
9.0
82
Not enough data
8.9
83
Not enough data
8.9
83
Not enough data
Data Quality
9.0
92
Not enough data
8.8
91
Not enough data
9.0
89
Not enough data
Maintainence
8.8
82
Not enough data
8.8
81
Not enough data
Generative AI
8.4
80
Not enough data
8.5
79
Not enough data
Agentic AI - Data Governance
8.9
9
Not enough data
9.1
9
Not enough data
9.3
10
Not enough data
8.7
10
Not enough data
9.2
10
Not enough data
9.2
10
Not enough data
Functionality
Not enough data
7.9
7
Not enough data
7.9
7
Not enough data
8.7
5
Not enough data
Not enough data
Integration
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
7.8
6
Management
Not enough data
8.3
5
Not enough data
8.7
5
Not enough data
7.5
6
Agentic AI - Message Queue (MQ)
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
8.6
169
Not enough data
8.5
163
Not enough data
Functionality
9.1
170
Not enough data
9.2
170
Not enough data
9.1
171
Not enough data
9.0
163
Not enough data
9.1
165
Not enough data
Deployment
8.9
63
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
65
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
65
Not enough data
9.0
65
Not enough data
Management
9.0
62
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
62
Not enough data
8.8
60
Not enough data
9.0
62
Not enough data
Management
8.8
60
Not enough data
8.7
60
Not enough data
9.1
59
Not enough data
Generative AI
8.3
27
Not enough data
8.3
27
Not enough data
System
8.8
175
Not enough data
Model Development
8.8
180
Not enough data
8.0
186
Not enough data
8.3
183
Not enough data
8.6
185
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.1
172
Not enough data
8.5
177
Not enough data
8.2
168
Not enough data
8.2
171
Not enough data
Machine/Deep Learning Services
8.4
156
Not enough data
8.4
159
Not enough data
Deployment
8.5
175
Not enough data
8.7
178
Not enough data
9.0
182
Not enough data
Generative AI
8.2
86
Not enough data
8.4
86
Not enough data
7.6
85
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.3
7
Not enough data
8.6
6
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
9.3
7
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
180
|
Verified
Not enough data
8.9
179
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
169
|
Verified
Not enough data
Integration
8.8
166
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
154
|
Verified
Not enough data
9.1
175
|
Verified
Not enough data
Performance
9.1
175
|
Verified
Not enough data
Security
8.8
165
|
Verified
Not enough data
8.9
166
|
Verified
Not enough data
Generative AI
8.5
76
Not enough data
8.4
75
Not enough data
Development
Not enough data
7.9
7
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
Management
Not enough data
7.7
5
|
Verified
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
9.0
5
|
Verified
Not enough data
9.3
5
|
Verified
Integration Options
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
Data Management
9.0
66
Not enough data
8.7
66
Not enough data
8.8
67
Not enough data
9.1
64
Not enough data
Agentic AI - DataOps Platforms
8.8
7
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.3
7
Not enough data
Analytics
8.8
65
Not enough data
8.5
64
Not enough data
Monitoring and Management
8.6
65
Not enough data
8.5
65
Not enough data
Cloud Deployment
9.1
61
Not enough data
9.0
62
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
API Construction
Not enough data
7.8
15
Not enough data
8.2
14
Not enough data
7.6
15
Not enough data
7.8
13
API Management
Not enough data
7.7
14
Not enough data
7.6
14
Not enough data
8.2
15
Not enough data
7.3
14
Not enough data
7.7
13
Data Integration
Not enough data
8.6
13
Not enough data
9.0
13
Not enough data
7.8
12
Database
8.7
222
Not enough data
8.9
228
Not enough data
9.3
230
Not enough data
Integrations
8.3
211
Not enough data
9.2
232
Not enough data
Platform
9.0
225
Not enough data
8.8
228
Not enough data
9.2
232
Not enough data
Processing
9.0
224
Not enough data
9.0
223
Not enough data
Data Transformation
8.8
220
Not enough data
9.0
227
Not enough data
Connectivity
8.7
203
Not enough data
9.2
226
Not enough data
9.0
218
Not enough data
9.2
226
Not enough data
Operations
8.4
224
Not enough data
8.8
219
Not enough data
8.6
208
Not enough data
8.6
206
Not enough data
9.3
221
Not enough data
Building Reports
8.9
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.3
135
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
Databricks Data Intelligence Platform and IBM Cloud Pak for Integration are categorized as ETL Tools
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
IBM Cloud Pak for Integration is categorized as Message Queue (MQ), Event Stream Processing, Enterprise Service Bus (ESB), iPaaS, and API Management
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM Cloud Pak for Integration
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
14.6%
Financial Services
11.3%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.4%
Information Technology and Services
18.4%
Computer Software
15.8%
Insurance
13.2%
Banking
13.2%
Education Management
10.5%
Other
28.9%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BR
Lakehouse is a new and open data management architecture solution that combines the best features of the data lake and warehouse.Read more
What are the features of Databricks?
3 Comments
SA
It supports large amount of data with capability to write code in SQL, Spark, Python and R.
In the backend, it stored the data in the parquet file which...Read more
What is Databricks unified analytics platform?
3 Comments
CA
Databricks' Unified Data Analytics Platform helps organizations accelerate innovation by unifying data science with engineering and business. With Databricks...Read more
how much time does it take to become an expert in this technology
1 Comment
DJ
Mostly a month or two if you have knowledge of Rest API, Queues etc. as concept.Read more
IBM Cloud Pak for Integration has no more discussions with answers
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