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- Databricks Data Intelligence Platform-vs-IBM watsonx.data
Compare Databricks Data Intelligence Platform and IBM watsonx.data 
At a Glance
Market Segments
Enterprise (47.3% of reviews)
Enterprise (41.0% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(403)4.6 out of 5
Market Segments
Enterprise (47.3% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformIBM watsonx.data
Star Rating
(43)4.5 out of 5
Market Segments
Enterprise (41.0% of reviews)
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 Workflow Management with a score of 9.3, highlighting its intuitive interface and seamless integration capabilities, while IBM watsonx.data scores lower at 8.4, indicating some users find it less user-friendly for complex workflows.
- Reviewers mention that Databricks offers superior Data Lake capabilities with a score of 9.1, allowing for efficient data storage and retrieval, whereas IBM watsonx.data scores 8.6, with users noting some limitations in data lake integration features.
- G2 users highlight that Databricks provides robust Data Integration features, scoring 9.0, which reviewers say facilitates easier connections to various data sources, while IBM watsonx.data scores slightly lower at 8.9, with some users mentioning challenges in integrating with certain legacy systems.
- Users on G2 report that IBM watsonx.data shines in Generative AI capabilities, particularly in AI Text Summarization with a score of 8.6, which reviewers say enhances content creation processes, while Databricks scores lower in this area, indicating a gap in generative AI features.
- Reviewers mention that Databricks has a strong edge in Data Profiling with a score of 8.3, allowing users to easily assess data quality, while IBM watsonx.data scores 8.2, with some users expressing a desire for more advanced profiling tools.
- Users say that IBM watsonx.data offers better Compliance Monitoring features, scoring 8.4, which reviewers appreciate for its thoroughness in data governance, while Databricks scores 8.1, with users noting that its compliance features could be more comprehensive.
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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
8.8
298
8.7
36
Ease of Use
8.8
299
8.4
39
Ease of Setup
8.6
184
8.0
33
Ease of Admin
8.1
89
7.4
15
Quality of Support
8.5
278
8.4
33
Has the product been a good partner in doing business?
8.5
89
7.9
14
Product Direction (% positive)
9.5
284
9.0
36
Features by Category
Administration
8.4
18
Not enough data
8.8
17
Not enough data
9.0
19
Not enough data
8.8
20
Not enough data
Management
8.5
18
Not enough data
8.7
18
Not enough data
8.9
18
Not enough data
8.4
18
Not enough data
9.1
18
Not enough data
Compliance
8.8
19
Not enough data
8.5
18
Not enough data
8.7
18
Not enough data
8.1
18
Not enough data
Security
8.8
17
Not enough data
9.0
18
Not enough data
8.9
18
Not enough data
Data Quality
8.9
18
Not enough data
8.2
18
Not enough data
8.9
18
Not enough data
Maintainence
8.7
18
Not enough data
8.5
18
Not enough data
Generative AI
8.5
18
Not enough data
8.9
18
Not enough data
Management
8.3
84
Not enough data
8.3
80
Not enough data
Functionality
9.1
87
Not enough data
9.3
88
Not enough data
9.1
89
Not enough data
8.9
82
Not enough data
9.1
85
Not enough data
Deployment
8.8
35
Not enough data
8.7
36
Not enough data
8.6
37
Not enough data
8.7
37
Not enough data
8.7
37
Not enough data
Deployment
8.6
34
Not enough data
8.5
35
Not enough data
8.3
39
Not enough data
8.7
38
Not enough data
8.9
38
Not enough data
Management
8.8
34
Not enough data
8.6
35
Not enough data
9.2
31
Not enough data
8.9
39
Not enough data
Operations
8.4
35
Not enough data
8.6
34
Not enough data
8.8
35
Not enough data
Management
8.7
35
Not enough data
8.3
34
Not enough data
9.2
32
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.8
93
Not enough data
8.6
88
Not enough data
7.7
89
Not enough data
Model Development
8.7
83
Not enough data
7.8
90
Not enough data
8.3
88
Not enough data
8.8
90
Not enough data
Model Development
8.4
87
Not enough data
8.7
92
Not enough data
8.5
90
Not enough data
Machine/Deep Learning Services
8.2
79
Not enough data
8.6
84
Not enough data
8.2
77
Not enough data
8.1
80
Not enough data
Machine/Deep Learning Services
8.1
79
Not enough data
8.3
80
Not enough data
8.1
79
Not enough data
8.4
81
Not enough data
Deployment
8.4
84
Not enough data
8.7
88
Not enough data
8.8
92
Not enough data
Deployment
8.4
86
Not enough data
8.6
92
Not enough data
8.8
92
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Management
9.0
114
|
Verified
Not enough data
8.8
113
|
Verified
Not enough data
8.6
109
|
Verified
Not enough data
8.5
111
|
Verified
Not enough data
8.5
101
|
Verified
Not enough data
8.9
105
|
Verified
Not enough data
Integration
8.7
100
|
Verified
Not enough data
8.6
101
|
Verified
Not enough data
8.9
110
|
Verified
Not enough data
Deployment
7.6
90
|
Verified
Not enough data
9.0
111
|
Verified
Not enough data
Performance
9.0
112
|
Verified
Not enough data
Security
8.5
103
|
Verified
Not enough data
8.6
104
|
Verified
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Management
9.0
34
Not enough data
8.3
33
Not enough data
8.4
34
Not enough data
9.0
32
Not enough data
Analytics
8.6
32
Not enough data
8.4
31
Not enough data
Monitoring and Management
8.2
32
Not enough data
8.2
32
Not enough data
Cloud Deployment
9.2
29
Not enough data
9.1
29
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Management
Not enough data
8.1
22
Not enough data
8.3
22
Not enough data
8.6
22
Data as a Service
Not enough data
8.6
22
Not enough data
8.6
22
Architecture
Not enough data
8.3
22
Not enough data
8.3
22
Database
8.5
112
8.8
17
8.8
119
9.0
16
9.2
119
8.6
17
Integrations
8.3
104
8.6
17
9.1
121
8.8
16
Platform
8.9
115
8.4
16
8.7
119
8.5
17
9.1
121
8.8
16
Processing
8.9
118
8.9
16
8.9
118
9.1
15
Data Transformation
8.6
133
Not enough data
8.9
140
Not enough data
Connectivity
8.5
117
Not enough data
9.1
139
Not enough data
8.9
131
Not enough data
9.1
140
Not enough data
Operations
8.2
138
Not enough data
8.7
133
Not enough data
8.4
121
Not enough data
8.4
121
Not enough data
9.3
135
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
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 Big Data Processing and Distribution
Unique Categories
Databricks Data Intelligence Platform is categorized as DataOps Platforms, MLOps Platforms, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Data Governance
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%
Computer Software
10.5%
Financial Services
8.2%
Marketing and Advertising
4.9%
Consulting
4.1%
Other
57.3%
Information Technology and Services
20.5%
Consulting
15.4%
Computer Software
15.4%
Pharmaceuticals
5.1%
Marketing and Advertising
5.1%
Other
38.5%
Most Helpful Reviews
Databricks Data Intelligence Platform
Most Helpful Favorable Review
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Most Helpful Critical Review
Aleksandr P.
Verified User in Financial Services
The biggest kink in Lakehouse platform is its speed. It does not deliver on the performance promised. In addition, the Databricks UI is not easy to use. It feels like it's a smartphone app. On the side of technology, it is slow and expensive, with...
IBM watsonx.data
Most Helpful Favorable Review
Sathwick K.
Verified User in Health, Wellness and Fitness
IBM watson offers extensive suite for Cognitive computing, NLP, ML-AI, data analytics, Assistant service and Languge models and translations. Its easy to use and is perfectly suitable for business needs which doesn't need for a seperare development team to...
Most Helpful Critical Review
Verified User in Consulting
When we are talking about advanced and in-depth analytics, the platform still lacks easier and faster integrations in order to be used as a service in a Python notebook, the libraries are very complex and take too much time to handle simple requests.
Alihan Z.
Verified User in Telecommunications
A great experience that combines ML-Runtimes - MLFlow and Spark. The ability to use Python, and SQL seamlessly in one platform. Since databricks notebooks can be saved as python scripts in the background it is amazing to have both notebook and script...
Sathwick K.
Verified User in Health, Wellness and Fitness
IBM watson offers extensive suite for Cognitive computing, NLP, ML-AI, data analytics, Assistant service and Languge models and translations. Its easy to use and is perfectly suitable for business needs which doesn't need for a seperare development team to...
Aleksandr P.
Verified User in Financial Services
The biggest kink in Lakehouse platform is its speed. It does not deliver on the performance promised. In addition, the Databricks UI is not easy to use. It feels like it's a smartphone app. On the side of technology, it is slow and expensive, with...
Verified User in Consulting
When we are talking about advanced and in-depth analytics, the platform still lacks easier and faster integrations in order to be used as a service in a Python notebook, the libraries are very complex and take too much time to handle simple requests.
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 does Databricks software do?
2 comments
BR
Databricks is a unified analytics platform and it help us to connect the different sources of data and process it to the single platform which store, share...Read more
IBM watsonx.data has no discussions with answers
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