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Compare Databricks Data Intelligence Platform and IBM watsonx.data 
Featured Products
At a Glance
Market Segments
Enterprise (46.0% of reviews)
Enterprise (36.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(658)4.6 out of 5
Market Segments
Enterprise (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformIBM watsonx.data
Star Rating
(94)4.3 out of 5
Market Segments
Enterprise (36.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.dataSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that the Databricks Data Intelligence Platform excels in user satisfaction, boasting a significantly higher overall rating compared to IBM watsonx.data. Users appreciate its seamless integration of AI into the data lakehouse, which enhances analytics capabilities and simplifies workflows.
- Users say that the ease of use of Databricks is a standout feature, with many highlighting its intuitive interface and quick implementation process. One user noted the platform's ability to integrate with external tools like Power BI for reporting, making it a favorite for data analytics.
- According to verified reviews, IBM watsonx.data offers a strong unified lakehouse feature that simplifies data management across multiple projects. Users appreciate its ability to keep all types of data in one platform, which reduces the complexity of managing various tools.
- Reviewers mention that while Databricks shines in data governance and analytics, IBM watsonx.data is recognized for its effective workload balancing capabilities, particularly in hybrid cloud environments. This makes it a reliable choice for organizations managing diverse data projects.
- G2 reviewers highlight that Databricks provides superior support and training resources, with many users noting the availability of certifications and learning materials that enhance their experience. In contrast, some users of IBM watsonx.data expressed a desire for more comprehensive training options.
- Users report that Databricks' strong performance in data quality and real-time analytics sets it apart, with many praising its fast calculations and robust data processing features. Meanwhile, IBM watsonx.data is appreciated for its secure data storage and accessibility, but it may not match the speed and efficiency of Databricks in high-demand scenarios.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableIBM watsonx.data
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
IBM watsonx.data
Free Trial is available
Ratings
Meets Requirements
8.9
538
8.5
71
Ease of Use
8.9
549
8.0
83
Ease of Setup
8.7
422
7.6
76
Ease of Admin
8.3
176
7.6
31
Quality of Support
8.7
513
8.3
66
Has the product been a good partner in doing business?
8.9
180
8.1
30
Product Direction (% positive)
9.6
527
9.2
71
Features by Category
Reports
8.2
11
Not enough data
7.4
9
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
8.8
12
Not enough data
Data Preparation
8.9
6
Not enough data
8.8
7
Not enough data
Data Modeling and Blending
9.0
8
Not enough data
8.8
7
Not enough data
8.8
8
Not enough data
Generative AI
9.0
8
Not enough data
9.2
6
Not enough data
Agentic AI - Analytics Platforms
9.3
7
Not enough data
8.7
5
Not enough data
9.0
5
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
9.7
6
Not enough data
9.3
5
Not enough data
Self Service
7.7
10
Not enough data
7.7
10
Not enough data
8.3
10
Not enough data
7.9
11
Not enough data
8.2
11
Not enough data
7.9
8
Not enough data
Deployment & Integration - Analytics Platforms
8.1
7
Not enough data
9.2
8
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Advanced Analytics
8.2
10
Not enough data
8.2
11
Not enough data
8.8
10
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
8.8
7
Not enough data
8.3
7
Not enough data
8.6
6
Not enough data
Agentic AI Capabilities - Analytics Platforms
8.6
7
Not enough data
8.8
7
Not enough data
8.9
6
Not enough data
8.6
7
Not enough data
Personalized Intelligence - Analytics Platforms
9.2
6
Not enough data
7.9
8
Not enough data
8.9
6
Not enough data
Building Reports
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
Not enough data
Administration
8.8
97
8.0
5
8.6
93
7.0
5
9.0
93
8.0
5
8.7
95
7.7
5
Management
8.4
87
8.3
5
8.6
86
8.3
5
8.6
87
8.0
5
8.5
87
7.7
5
8.7
85
8.3
5
Compliance
8.8
97
8.0
5
8.7
92
7.0
5
8.8
92
7.7
5
8.7
93
7.7
5
Security
9.0
85
8.6
6
8.9
85
9.2
6
8.8
86
8.6
6
Data Quality
9.0
93
8.3
5
8.7
93
8.3
5
8.9
92
8.3
5
Maintainence
8.7
85
8.3
5
8.8
83
8.7
5
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
6.0
5
8.8
11
6.0
5
9.0
14
Not enough data
8.5
12
Not enough data
9.0
12
Not enough data
9.0
13
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
64
Not enough data
8.9
64
Not enough data
8.9
64
Not enough data
8.9
65
Not enough data
8.9
66
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
66
Not enough data
8.9
65
Not enough data
9.0
66
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
61
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
28
Not enough data
8.3
28
Not enough data
System
8.8
178
Not enough data
Model Development
8.8
182
Not enough data
7.9
187
Not enough data
8.3
184
Not enough data
8.6
187
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.2
173
Not enough data
8.5
179
Not enough data
8.2
170
Not enough data
8.2
172
Not enough data
Machine/Deep Learning Services
8.4
158
Not enough data
8.4
160
Not enough data
Deployment
8.5
176
Not enough data
8.7
179
Not enough data
9.0
185
Not enough data
Generative AI
8.2
86
Not enough data
8.4
87
Not enough data
7.6
86
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
9.2
8
Not enough data
8.3
7
Not enough data
8.1
8
Not enough data
8.6
7
Not enough data
9.1
9
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
181
|
Verified
8.3
6
8.9
180
|
Verified
8.6
6
8.8
174
|
Verified
8.3
6
8.8
178
|
Verified
8.3
6
8.7
167
|
Verified
7.5
6
9.1
170
|
Verified
8.1
6
Integration
8.8
167
|
Verified
8.6
6
8.8
165
|
Verified
8.3
6
9.1
172
|
Verified
8.6
6
Deployment
7.9
155
|
Verified
8.1
6
9.1
176
|
Verified
9.4
6
Performance
9.1
176
|
Verified
8.6
6
Security
8.8
165
|
Verified
9.2
6
8.9
166
|
Verified
9.4
6
Generative AI
8.5
76
8.3
5
8.4
75
8.7
5
Data Management
9.0
66
Not enough data
8.7
67
Not enough data
8.8
67
Not enough data
9.1
66
Not enough data
Agentic AI - DataOps Platforms
9.0
8
Not enough data
8.6
6
Not enough data
9.0
7
Not enough data
8.6
6
Not enough data
9.3
7
Not enough data
Analytics
8.8
66
Not enough data
8.5
64
Not enough data
Monitoring and Management
8.6
66
Not enough data
8.6
66
Not enough data
Cloud Deployment
9.1
62
Not enough data
9.0
62
Not enough data
Generative AI
8.9
35
Not enough data
8.9
35
Not enough data
Data Management
Not enough data
8.2
46
Not enough data
8.4
46
Not enough data
8.5
45
Data as a Service
Not enough data
8.3
45
Not enough data
8.5
45
Architecture
Not enough data
8.2
45
Not enough data
8.4
45
Database
8.7
229
8.6
28
8.9
235
8.8
27
9.3
242
8.6
28
Integrations
8.3
217
8.3
28
9.1
244
8.5
28
Platform
9.0
236
8.4
27
8.8
234
8.6
28
9.1
244
8.5
28
Processing
9.0
233
8.8
27
9.0
230
8.9
25
Data Transformation
8.8
223
7.2
9
9.0
229
7.5
10
Connectivity
8.7
205
7.2
9
9.2
229
7.4
9
9.0
219
8.0
9
9.2
227
7.4
9
Operations
8.4
225
7.5
10
8.8
220
8.0
10
8.6
210
8.2
10
8.6
209
6.8
10
9.3
224
7.8
10
Building Reports
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
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 watsonx.data are categorized as Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Data Science and Machine Learning Platforms, and Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, and Analytics Platforms
IBM watsonx.data is categorized as Data as a Service (DaaS)
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM watsonx.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
15.1%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.7%
Hospital & Health Care
3.6%
Other
58.2%
Information Technology and Services
24.1%
Computer Software
14.5%
Consulting
8.4%
Financial Services
7.2%
Banking
6.0%
Other
39.8%
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
IBM watsonx.data has no discussions with answers
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