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At a Glance
Market Segments
Enterprise (46.3% of reviews)
Enterprise (36.6% 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 (46.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformIBM watsonx.data
Star Rating
(93)4.3 out of 5
Market Segments
Enterprise (36.6% 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.
- Users report that the Databricks Data Intelligence Platform excels in ease of use with a score of 8.8, while IBM watsonx.data lags behind at 7.9. Reviewers mention that the intuitive interface and seamless integration with tools like Apache Spark make Databricks a preferred choice for data scientists.
- Reviewers say that Databricks shines in data lake capabilities, scoring 9.3 compared to IBM watsonx.data's 8.6. Users highlight features like Delta Lake, which allows for efficient data management and real-time analytics, making it a standout for large-scale data operations.
- Users on G2 mention that Databricks offers superior cloud processing capabilities, scoring 9.0 versus IBM watsonx.data's 8.8. Reviewers appreciate the platform's ability to handle large datasets effortlessly in the cloud, enhancing performance and scalability.
- Reviewers mention that the quality of support for Databricks is rated at 8.7, while IBM watsonx.data is at 8.1. Users report that Databricks' support team is responsive and knowledgeable, which is crucial for troubleshooting and optimizing workflows.
- G2 users report that Databricks has a higher score in machine scaling (9.0) compared to IBM watsonx.data (8.3). Reviewers highlight the platform's ability to automatically scale resources based on workload demands, ensuring efficient processing without manual intervention.
- Users say that Databricks leads in real-time data collection with a score of 8.7, while IBM watsonx.data scores 8.6. Reviewers mention that the platform's capabilities in streaming data and real-time analytics provide a significant advantage for businesses needing timely insights.
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
514
8.5
70
Ease of Use
8.8
523
8.0
82
Ease of Setup
8.7
396
7.6
75
Ease of Admin
8.3
169
7.6
30
Quality of Support
8.7
489
8.3
65
Has the product been a good partner in doing business?
8.8
172
8.0
29
Product Direction (% positive)
9.6
502
9.2
70
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
Administration
8.8
93
8.0
5
8.6
90
7.0
5
9.0
91
8.0
5
8.7
92
7.7
5
Management
8.5
85
8.3
5
8.7
84
8.3
5
8.6
84
8.0
5
8.5
83
7.7
5
8.7
83
8.3
5
Compliance
8.8
91
8.0
5
8.7
90
7.0
5
8.9
89
7.7
5
8.7
89
7.7
5
Security
9.0
81
8.6
6
8.9
83
9.2
6
8.9
83
8.6
6
Data Quality
9.0
91
8.3
5
8.7
90
8.3
5
9.0
88
8.3
5
Maintainence
8.8
82
8.3
5
8.8
81
8.7
5
Generative AI
8.4
80
Not enough data
8.5
79
Not enough data
Agentic AI - Data Governance
8.9
9
6.0
5
9.1
9
6.0
5
9.3
9
Not enough data
8.5
9
Not enough data
9.1
9
Not enough data
9.1
9
Not enough data
Management
8.6
168
Not enough data
8.5
162
Not enough data
Functionality
9.1
169
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
64
Not enough data
8.9
64
Not enough data
Deployment
8.9
61
Not enough data
8.8
62
Not enough data
8.6
65
Not enough data
8.9
64
Not enough data
9.0
64
Not enough data
Management
8.9
61
Not enough data
8.8
63
Not enough data
9.1
59
Not enough data
8.9
67
Not enough data
Operations
8.7
61
Not enough data
8.8
60
Not enough data
9.0
61
Not enough data
Management
8.8
60
Not enough data
8.7
59
Not enough data
9.1
58
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
179
Not enough data
7.9
185
Not enough data
8.3
182
Not enough data
8.6
184
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.1
171
Not enough data
8.5
176
Not enough data
8.2
168
Not enough data
8.1
170
Not enough data
Machine/Deep Learning Services
8.4
156
Not enough data
8.4
158
Not enough data
Deployment
8.5
174
Not enough data
8.7
177
Not enough data
9.0
181
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
9.2
6
Not enough data
8.6
6
Not enough data
8.6
6
Not enough data
8.9
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
9.2
6
Not enough data
Data Management
9.0
178
|
Verified
8.3
6
8.9
178
|
Verified
8.6
6
8.8
173
|
Verified
8.3
6
8.8
176
|
Verified
8.3
6
8.7
166
|
Verified
7.5
6
9.0
168
|
Verified
8.1
6
Integration
8.8
164
|
Verified
8.6
6
8.8
164
|
Verified
8.3
6
9.1
172
|
Verified
8.6
6
Deployment
7.9
153
|
Verified
8.1
6
9.1
174
|
Verified
9.4
6
Performance
9.1
174
|
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
65
Not enough data
8.8
66
Not enough data
9.1
63
Not enough data
Agentic AI - DataOps Platforms
8.6
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
8.6
6
Not enough data
9.2
6
Not enough data
Analytics
8.8
64
Not enough data
8.4
63
Not enough data
Monitoring and Management
8.5
64
Not enough data
8.5
64
Not enough data
Cloud Deployment
9.1
60
Not enough data
9.0
61
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
8.3
45
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
220
8.6
28
8.9
226
8.8
27
9.3
227
8.6
28
Integrations
8.3
209
8.3
28
9.2
229
8.5
27
Platform
9.0
222
8.4
27
8.8
225
8.6
28
9.2
229
8.5
27
Processing
9.0
221
8.8
27
9.0
220
8.9
25
Data Transformation
8.8
220
7.2
9
9.0
227
7.2
9
Connectivity
8.7
203
7.2
9
9.2
226
7.4
9
9.0
218
8.0
9
9.2
226
7.4
9
Operations
8.4
224
7.5
10
8.8
219
8.0
10
8.6
208
8.0
9
8.6
206
6.8
10
9.3
221
7.8
10
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 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
14.6%
Financial Services
11.4%
Computer Software
8.1%
Consulting
3.9%
Hospital & Health Care
3.7%
Other
58.2%
Information Technology and Services
24.4%
Computer Software
14.6%
Consulting
8.5%
Financial Services
7.3%
Banking
6.1%
Other
39.0%
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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