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Compare Databricks and IBM watsonx.data 
Featured Products
At a Glance
Market Segments
Enterprise (46.1% of reviews)
Small-Business (38.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks
Star Rating
(657)4.6 out of 5
Market Segments
Enterprise (46.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksIBM watsonx.data
Star Rating
(149)4.4 out of 5
Market Segments
Small-Business (38.1% 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 higher overall score compared to IBM watsonx.data. Users appreciate its seamless integration of AI into the data lakehouse, which enhances data analytics and fast calculations, making it a preferred choice for data engineering tasks.
- Users say that IBM watsonx.data offers impressive flexibility, allowing them to run different query engines based on workload. This adaptability is particularly beneficial for optimizing performance and cost, which is a significant advantage for enterprises managing large datasets.
- Reviewers mention that the ease of use is a standout feature for the Databricks platform, with many users highlighting its intuitive onboarding process and integration capabilities with external tools like Power BI. This user-friendly approach contributes to a smoother implementation experience.
- According to verified reviews, while IBM watsonx.data is praised for its built-in governance features, some users feel that it falls short in terms of overall ease of setup compared to Databricks. This can lead to challenges for teams looking to quickly deploy their data solutions.
- G2 reviewers highlight that Databricks shines in its data governance capabilities, receiving high marks for its comprehensive features that support data quality and compliance. Users appreciate the platform's ability to manage data lineage and ensure sensitive data compliance effectively.
- Users report that while IBM watsonx.data performs well in handling large and complex datasets, it sometimes lacks the advanced analytics capabilities that Databricks offers, particularly in real-time data processing and machine learning integration, which are crucial for modern data-driven businesses.
Pricing
Entry-Level Pricing
Databricks
No pricing availableIBM watsonx.data
No pricing availableFree Trial
Databricks
Free Trial is available
IBM watsonx.data
Free Trial is available
Ratings
Meets Requirements
8.9
537
8.8
118
Ease of Use
8.9
548
8.2
132
Ease of Setup
8.7
421
7.9
117
Ease of Admin
8.3
175
7.8
51
Quality of Support
8.7
512
8.5
114
Has the product been a good partner in doing business?
8.9
179
8.7
52
Product Direction (% positive)
9.6
526
9.2
119
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
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
139
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
8.0
5
Model Development
8.5
171
7.0
5
Machine/Deep Learning Services
8.2
173
Not enough data
8.5
179
7.7
5
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
6.7
5
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
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
Maintenance
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
Not enough data
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
8.5
49
Not enough data
8.5
46
Data as a Service
Not enough data
8.3
46
Not enough data
8.5
47
Architecture
Not enough data
8.3
47
Not enough data
8.5
48
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
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
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 and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.7
228
8.6
28
8.9
234
8.8
28
9.3
241
8.6
29
Integrations
8.3
216
8.3
28
9.1
243
8.5
28
Platform
9.0
235
8.4
27
8.8
233
8.6
28
9.1
243
8.5
28
Processing
9.0
232
8.8
27
9.0
229
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
136
Not enough data
8.5
136
Not enough data
7.6
121
Not enough data
8.4
139
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 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 is categorized as DataOps Platforms, MLOps Platforms, Analytics Platforms, Database Management Systems (DBMS), Generative AI Infrastructure, and AI Agent Builders
IBM watsonx.data is categorized as Data as a Service (DaaS)
Reviews
Reviewers' Company Size
Databricks
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
15.0%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.8%
Hospital & Health Care
3.6%
Other
58.3%
Information Technology and Services
19.4%
Computer Software
18.7%
Consulting
6.7%
Financial Services
5.2%
Banking
4.5%
Other
45.5%
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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