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Compare Databricks Data Intelligence Platform and Google Cloud BigQuery 
Featured Products
At a Glance
Market Segments
Enterprise (46.0% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Databricks Data Intelligence Platform
Star Rating
(658)4.6 out of 5
Market Segments
Enterprise (46.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformGoogle Cloud BigQuery
Star Rating
(1,208)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in overall user satisfaction, boasting a significantly higher G2 Score compared to Databricks. Users appreciate its serverless architecture and the ability to focus on SQL without worrying about infrastructure, making data analysis feel efficient and smooth.
- Users say that Databricks Data Intelligence Platform shines in its interactive notebooks that support both SQL and Python, providing a unified interface for data visualization. This feature is particularly praised for enhancing usability and streamlining workflows.
- According to verified reviews, Google Cloud BigQuery's implementation process is notably quick and intuitive, with users highlighting the pay-as-you-go model that simplifies operations and allows for experimentation with larger datasets without the need for cluster provisioning.
- Reviewers mention that while Databricks offers good support, Google Cloud BigQuery has a slight edge in quality of support, with users noting that assistance is generally timely and effective, contributing to a smoother user experience.
- G2 reviewers highlight that Google Cloud BigQuery is particularly strong in data querying capabilities, receiving high praise for its performance in handling complex queries efficiently, which is a critical aspect for users dealing with large datasets.
- Users report that Databricks is excellent for scaling large language models and generative AI applications, making it a preferred choice for organizations focused on advanced analytics and machine learning, despite its lower overall satisfaction ratings compared to BigQuery.
Pricing
Entry-Level Pricing
Databricks Data Intelligence Platform
No pricing availableGoogle Cloud BigQuery
Free
Free
New customers get $300 in free Google Cloud credits to spend on BigQuery with free trial sign-up.
- 10 GB storage
- Up to 1 TB queries per month
Free Trial
Databricks Data Intelligence Platform
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.9
538
8.8
616
Ease of Use
8.9
549
8.7
632
Ease of Setup
8.7
422
8.8
407
Ease of Admin
8.3
176
8.5
224
Quality of Support
8.7
513
8.4
565
Has the product been a good partner in doing business?
8.9
180
8.6
217
Product Direction (% positive)
9.6
527
9.3
605
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
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
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
8.6
121
8.5
163
8.3
119
Functionality
9.1
170
9.0
119
9.2
170
9.1
123
9.1
171
9.0
123
9.0
163
8.9
122
9.1
165
9.3
122
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
Not enough data
Model Development
8.5
171
Not enough data
Machine/Deep Learning Services
8.2
173
Not enough data
8.5
179
Not enough data
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
Not enough data
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
8.9
220
|
Verified
8.9
180
|
Verified
8.3
210
|
Verified
8.8
174
|
Verified
8.9
215
|
Verified
8.8
178
|
Verified
8.6
215
|
Verified
8.7
167
|
Verified
8.3
203
|
Verified
9.1
170
|
Verified
8.7
200
|
Verified
Integration
8.8
167
|
Verified
8.5
202
|
Verified
8.8
165
|
Verified
8.6
213
|
Verified
9.1
172
|
Verified
8.6
200
|
Verified
Deployment
7.9
155
|
Verified
7.7
186
|
Verified
9.1
176
|
Verified
9.1
216
|
Verified
Performance
9.1
176
|
Verified
9.1
224
|
Verified
Security
8.8
165
|
Verified
8.7
207
|
Verified
8.9
166
|
Verified
9.1
213
|
Verified
Generative AI
8.5
76
7.6
127
8.4
75
7.8
124
Storage
Not enough data
9.1
70
Not enough data
8.8
70
Availability
Not enough data
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Performance
Not enough data
8.5
65
Security
Not enough data
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Support
Not enough data
8.7
66
Not enough data
8.9
66
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
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
78
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Generative AI
Not enough data
7.5
50
Not enough data
7.8
50
Marketing Operations
Not enough data
8.8
65
Not enough data
9.2
64
Not enough data
8.9
64
Not enough data
9.4
65
Not enough data
8.8
63
Not enough data
8.4
62
Campaign Activity
Not enough data
9.1
67
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
61
Not enough data
8.9
62
Not enough data
9.0
64
Agentic AI - Marketing Analytics
Not enough data
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Database
8.7
229
8.8
175
8.9
235
8.9
173
9.3
242
8.7
167
Integrations
8.3
217
8.4
136
9.1
244
8.5
133
Platform
9.0
236
8.9
151
8.8
234
8.9
165
9.1
244
8.5
133
Processing
9.0
233
9.2
168
9.0
230
9.1
161
Data Transformation
8.8
223
8.8
283
9.0
229
9.3
293
Connectivity
8.7
205
8.1
251
9.2
229
8.2
249
9.0
219
8.7
278
9.2
227
8.7
269
Operations
8.4
225
8.5
278
8.8
220
8.7
277
8.6
210
8.3
255
8.6
209
8.4
262
9.3
224
8.5
254
Building Reports
8.9
137
Not enough data
8.6
137
Not enough data
7.6
122
Not enough data
8.4
140
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 BigQuery are categorized as ETL Tools, Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Unique Categories
Databricks Data Intelligence Platform is categorized as MLOps Platforms, DataOps Platforms, Data Governance, Data Science and Machine Learning Platforms, and Analytics Platforms
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, Marketing Analytics, Predictive Analytics, and Data Clean Room
Reviews
Reviewers' Company Size
Databricks Data Intelligence Platform
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Google Cloud BigQuery
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%
Financial Services
11.1%
Computer Software
8.3%
Consulting
3.7%
Hospital & Health Care
3.6%
Other
58.2%
Information Technology and Services
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.4%
Marketing and Advertising
5.1%
Other
51.7%
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
Is BigQuery part of Google Cloud Platform?
2 Comments
AY
Yes, Bigquery is a GCP product and a serveless data wharehouse.Read more
How BQ legacy SQl is different form the standard SQL?
1 Comment
OD
Legacy SQL is a non-standard SQL only used by BigQuery. Standard SQL is compliant with the SQL 2011.
Google recommends using Standard SQL and looking at the...Read more
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