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Compare Databricks Data Intelligence Platform and Google Cloud Dataprep 
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At a Glance
Market Segments
Enterprise (46.3% of reviews)
Small-Business (64.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Databricks Data Intelligence Platform
Star Rating
(631)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 PlatformGoogle Cloud Dataprep
Star Rating
(16)4.3 out of 5
Market Segments
Small-Business (64.3% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Google Cloud DataprepSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that the Databricks Data Intelligence Platform excels in Data Integration with a score of 9.0, allowing seamless connectivity to various data sources, while Google Cloud Dataprep scores slightly lower at 8.9, indicating a more limited integration capability.
- Reviewers mention that Google Cloud Dataprep offers superior Ease of Use with a score of 9.1, making it more accessible for small businesses, whereas Databricks has a score of 8.7, which may present a steeper learning curve for new users.
- G2 users highlight that Databricks Data Intelligence Platform shines in Data Lake Analytics with a score of 9.1, providing robust analytics capabilities, while Google Cloud Dataprep falls short with a score of 6.7, indicating less effective analytics for data lakes.
- Users on G2 report that Databricks has a more comprehensive Model Registry feature, scoring 8.9, which is crucial for managing machine learning models, compared to Google Cloud Dataprep which lacks this specific functionality.
- Reviewers mention that Google Cloud Dataprep excels in Data Preparation with a high score of 9.2, making it particularly effective for data wrangling tasks, while Databricks scores 8.7, indicating it may not be as user-friendly for this specific task.
- Users say that Databricks Data Intelligence Platform provides better Scalability with a score of 9.1, which is essential for enterprise-level applications, while Google Cloud Dataprep scores 8.9, suggesting it may not handle large-scale operations as effectively.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableGoogle Cloud Dataprep
No pricing availableFree Trial
Databricks Data Intelligence Platform
Free Trial is available
Google Cloud Dataprep
No trial information availableRatings
Meets Requirements
8.9
514
8.2
12
Ease of Use
8.8
523
9.2
13
Ease of Setup
8.7
396
8.6
6
Ease of Admin
8.3
169
8.9
6
Quality of Support
8.7
489
8.3
12
Has the product been a good partner in doing business?
8.8
172
8.9
6
Product Direction (% positive)
9.6
502
8.2
13
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
Data Source Access
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Interaction
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
Not enough data
Not enough data
Data Exporting
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
Administration
8.8
93
Not enough data
8.6
90
Not enough data
9.0
91
Not enough data
8.7
92
Not enough data
Management
8.5
85
Not enough data
8.7
84
Not enough data
8.6
84
Not enough data
8.5
83
Not enough data
8.7
83
Not enough data
Compliance
8.8
91
Not enough data
8.7
90
Not enough data
8.9
89
Not enough data
8.7
89
Not enough data
Security
9.0
81
Not enough data
8.9
83
Not enough data
8.9
83
Not enough data
Data Quality
9.0
91
Not enough data
8.7
90
Not enough data
9.0
88
Not enough data
Maintainence
8.8
82
Not enough data
8.8
81
Not enough data
Generative AI
8.4
80
Not enough data
8.5
79
Not enough data
Agentic AI - Data Governance
8.9
9
Not enough data
9.1
9
Not enough data
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
Not enough data
8.9
178
|
Verified
Not enough data
8.8
173
|
Verified
Not enough data
8.8
176
|
Verified
Not enough data
8.7
166
|
Verified
Not enough data
9.0
168
|
Verified
Not enough data
Integration
8.8
164
|
Verified
Not enough data
8.8
164
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
Deployment
7.9
153
|
Verified
Not enough data
9.1
174
|
Verified
Not enough data
Performance
9.1
174
|
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
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
Database
8.7
220
8.7
9
8.9
226
8.3
9
9.3
227
6.7
9
Integrations
8.3
209
7.1
7
9.2
229
7.9
8
Platform
9.0
222
8.3
8
8.8
225
9.2
10
9.2
229
7.9
8
Processing
9.0
221
8.7
10
9.0
220
9.4
9
Data Transformation
8.8
220
Not enough data
9.0
227
Not enough data
Connectivity
8.7
203
Not enough data
9.2
226
Not enough data
9.0
218
Not enough data
9.2
226
Not enough data
Operations
8.4
224
Not enough data
8.8
219
Not enough data
8.6
208
Not enough data
8.6
206
Not enough data
9.3
221
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
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 Google Cloud Dataprep are categorized as Big Data Processing and Distribution
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, ETL Tools, Big Data Analytics, Data Science and Machine Learning Platforms, Data Warehouse, and Analytics Platforms
Google Cloud Dataprep is categorized as Data Preparation
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud Dataprep
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
21.4%
Computer Software
14.3%
Restaurants
7.1%
Primary/Secondary Education
7.1%
Marketing and Advertising
7.1%
Other
42.9%
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
Google Cloud Dataprep has no discussions with answers
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