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Compare Databricks Data Intelligence Platform and IBM watsonx.ai 
Featured Products
At a Glance
Market Segments
Enterprise (46.1% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
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 Databricks Data Intelligence PlatformIBM watsonx.ai
Star Rating
(135)4.4 out of 5
Market Segments
Small-Business (41.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.aiSummary
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.ai. Users appreciate its seamless integration of AI into the data lakehouse, which enhances data analytics and reporting capabilities, particularly with tools like Power BI.
- Users say that IBM watsonx.ai offers a user-friendly experience for building and deploying AI models, making it a solid choice for those seeking a streamlined platform. The clean interface and features like the Prompt Lab for quick experimentation are frequently highlighted as beneficial for professionals exploring AI capabilities.
- According to verified reviews, Databricks Data Intelligence Platform stands out for its robust data engineering features, with users noting its cloud integration with platforms like AWS and Azure. This flexibility is a significant advantage for enterprises looking to leverage a unified data architecture.
- Reviewers mention that while IBM watsonx.ai provides strong enterprise-grade security and governance, some users feel it could improve in areas like model training and deployment speed. However, its reliability in managing complex projects is often praised.
- G2 reviewers highlight that Databricks Data Intelligence Platform has a more extensive user base, reflected in its higher number of reviews. This suggests a broader community and more resources for troubleshooting and support, which can be crucial for new users.
- Users report that both platforms offer solid support, but Databricks Data Intelligence Platform tends to receive slightly higher marks for ease of setup and administration. This can make a significant difference for teams looking to get up and running quickly without extensive configuration challenges.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableIBM watsonx.ai
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
IBM watsonx.ai
Free Trial is available
Ratings
Meets Requirements
8.9
537
8.8
87
Ease of Use
8.9
548
8.8
120
Ease of Setup
8.7
421
8.4
111
Ease of Admin
8.3
175
8.7
38
Quality of Support
8.7
512
8.7
85
Has the product been a good partner in doing business?
8.9
179
8.9
38
Product Direction (% positive)
9.6
526
9.9
88
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
Not enough data
8.6
93
Not enough data
9.0
93
Not enough data
8.7
95
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
87
Not enough data
8.5
87
Not enough data
8.7
85
Not enough data
Compliance
8.8
97
Not enough data
8.7
92
Not enough data
8.8
92
Not enough data
8.7
93
Not enough data
Security
9.0
85
Not enough data
8.9
85
Not enough data
8.8
86
Not enough data
Data Quality
9.0
93
Not enough data
8.7
93
Not enough data
8.9
92
Not enough data
Maintainence
8.7
85
Not enough data
8.8
83
Not enough data
Generative AI
8.4
82
Not enough data
8.5
81
Not enough data
Agentic AI - Data Governance
8.5
10
Not enough data
8.8
11
Not enough data
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
9.1
9
8.9
64
8.5
9
8.9
64
7.8
9
8.9
65
8.7
9
8.9
66
8.7
9
Deployment
8.9
61
9.3
9
8.8
62
8.7
9
8.6
66
8.3
9
8.9
65
8.9
9
9.0
66
9.1
9
Management
9.0
62
8.0
9
8.8
63
8.5
9
9.1
59
8.5
9
8.9
67
9.3
9
Operations
8.7
62
9.1
9
8.8
61
8.7
9
9.0
62
9.3
9
Management
8.8
60
8.5
9
8.7
60
9.0
8
9.1
59
8.5
8
Generative AI
8.3
28
9.1
9
8.3
28
9.3
9
System
8.8
178
8.2
31
Model Development
8.8
182
8.7
33
7.9
187
8.3
35
8.3
184
8.7
31
8.6
187
8.2
33
Model Development
8.5
171
8.5
32
Machine/Deep Learning Services
8.2
173
Feature Not Available
8.5
179
8.9
32
8.2
170
8.6
32
8.2
172
8.1
32
Machine/Deep Learning Services
8.4
158
8.5
32
8.4
160
8.8
32
Deployment
8.5
176
8.2
32
8.7
179
8.6
32
9.0
185
8.8
32
Generative AI
8.2
86
8.8
31
8.4
87
8.8
31
7.6
86
Feature Not Available
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 Type
Not enough data
8.8
13
Not enough data
Feature Not Available
Not enough data
8.5
12
Synthesis Type
Not enough data
9.0
12
Not enough data
9.2
12
Data Transformation
Not enough data
8.6
12
Not enough data
9.3
12
Not enough data
9.7
12
Not enough data
9.2
12
Not enough data
9.2
12
Data Management
9.0
181
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.8
174
|
Verified
Not enough data
8.8
178
|
Verified
Not enough data
8.7
167
|
Verified
Not enough data
9.1
170
|
Verified
Not enough data
Integration
8.8
167
|
Verified
Not enough data
8.8
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
155
|
Verified
Not enough data
9.1
176
|
Verified
Not enough data
Performance
9.1
176
|
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
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
Scalability and Performance - Generative AI Infrastructure
Not enough data
9.4
8
Not enough data
9.0
8
Not enough data
9.4
8
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.9
8
Not enough data
8.6
7
Not enough data
8.3
7
Integration and Extensibility - Generative AI Infrastructure
Not enough data
9.5
7
Not enough data
8.6
7
Not enough data
8.8
7
Security and Compliance - Generative AI Infrastructure
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
8.6
7
Usability and Support - Generative AI Infrastructure
Not enough data
9.0
8
Not enough data
9.0
7
Content Generation - AI Content Creation Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management - AI Content Creation Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
9.0
21
Learning - Machine Learning
Not enough data
9.2
23
Not enough data
9.1
22
Not enough data
9.0
21
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
8.7
15
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
9
Not enough data
8.1
6
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
6
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
6
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
10
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
6
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
7.4
13
Not enough data
8.7
9
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
6
Not enough data
8.8
10
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
7
Not enough data
8.9
6
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
6
Not enough data
9.2
6
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
6
Customization - AI Agent Builders
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
9.0
7
Functionality - AI Agent Builders
Not enough data
8.6
7
Not enough data
9.2
8
Not enough data
9.3
7
Not enough data
8.8
7
Data and Analytics - AI Agent Builders
Not enough data
9.0
7
Not enough data
8.8
7
Not enough data
9.0
7
Integration - AI Agent Builders
Not enough data
9.2
8
Not enough data
9.0
7
Not enough data
9.0
7
Not enough data
8.6
7
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.7
228
Not enough data
8.9
234
Not enough data
9.3
241
Not enough data
Integrations
8.3
216
Not enough data
9.1
243
Not enough data
Platform
9.0
235
Not enough data
8.8
233
Not enough data
9.1
243
Not enough data
Processing
9.0
232
Not enough data
9.0
229
Not enough data
Data Transformation
8.8
223
Not enough data
9.0
229
Not enough data
Connectivity
8.7
205
Not enough data
9.2
229
Not enough data
9.0
219
Not enough data
9.2
227
Not enough data
Operations
8.4
225
Not enough data
8.8
220
Not enough data
8.6
210
Not enough data
8.6
209
Not enough data
9.3
224
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
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.ai are categorized as MLOps Platforms, Data Science and Machine Learning Platforms, Generative AI Infrastructure, and AI Agent Builders
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, Data Governance, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Analytics Platforms, Data Warehouse, and Database Management Systems (DBMS)
IBM watsonx.ai is categorized as Synthetic Data, Machine Learning, AI Content Creation Platforms, Large Language Model Operationalization (LLMOps), and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM watsonx.ai
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
19.7%
Computer Software
11.5%
Consulting
7.4%
Financial Services
6.6%
Banking
5.7%
Other
49.2%
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.ai has no discussions with answers
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