Compare Databricks and Google Cloud BigQuery 
At a Glance
Market Segments
Enterprise (44.6% of reviews)
Enterprise (38.2% of reviews)
Entry-Level Pricing
No pricing available
Free
Databricks
Star Rating
(742)4.6 out of 5
Market Segments
Enterprise (44.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about DatabricksGoogle Cloud BigQuery
Star Rating
(1,236)4.5 out of 5
Market Segments
Enterprise (38.2% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in query performance, with users praising its ability to handle large datasets quickly and efficiently. One user highlighted its "super fast querying of huge amounts of data," making it a strong choice for organizations that require rapid data analysis without the overhead of server management.
- Users say that Databricks stands out for its comprehensive feature set, particularly with tools like Genie and Lakehouse Connect. Reviewers appreciate how these features simplify the data workflow, allowing teams to manage data processing, analysis, and machine learning all in one platform, which enhances productivity.
- According to verified reviews, Google Cloud BigQuery's serverless architecture makes it very easy to implement and use, especially for those new to data analytics. Users have noted that the intuitive design and built-in features facilitate a smooth onboarding experience, which is particularly beneficial for smaller datasets with its free tier option.
- Reviewers mention that Databricks offers strong governance and data management capabilities through its Unity Catalog. Users have reported significant improvements in centralized governance and access control, which are crucial for enterprises managing sensitive data across multiple teams.
- G2 reviewers highlight that while both platforms are user-friendly, Databricks has a slight edge in collaboration features, particularly with its notebook environment. Users appreciate the seamless integration of various tools, which allows for easier sharing and collaboration on data projects compared to Google Cloud BigQuery.
- Users say that Google Cloud BigQuery shines in data security, with many praising its robust security features. Reviewers have noted the high level of data protection, which is essential for organizations that prioritize compliance and data integrity in their analytics processes.
Pricing
Entry-Level Pricing
Databricks
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
Free Trial is available
Google Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.9
587
8.8
633
Ease of Use
8.9
600
8.7
650
Ease of Setup
8.7
472
8.7
423
Ease of Admin
8.4
184
8.5
226
Quality of Support
8.7
563
8.3
577
Has the product been a good partner in doing business?
8.9
188
8.6
220
Product Direction (% positive)
9.6
575
9.3
620
Features by Category
Reports
8.3
13
Not enough data
7.7
11
Not enough data
8.3
11
Not enough data
8.0
9
Not enough data
9.0
15
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
9.1
9
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
8.3
6
Not enough data
8.3
6
Not enough data
8.3
7
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
8.5
11
Not enough data
8.1
12
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
8.3
11
Not enough data
8.2
11
Not enough data
9.1
13
Not enough data
Performance & Scalability - Analytics Platforms
8.8
7
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
9.0
8
Not enough data
8.5
8
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
8.3
7
Not enough data
Building Reports
9.0
156
Not enough data
8.6
145
Not enough data
7.6
123
Not enough data
8.4
148
Not enough data
Administration
8.8
99
Not enough data
8.6
93
Not enough data
9.0
94
Not enough data
8.7
98
Not enough data
Management
8.4
87
Not enough data
8.6
86
Not enough data
8.6
88
Not enough data
8.5
87
Not enough data
8.8
86
Not enough data
Compliance
8.8
98
Not enough data
8.7
92
Not enough data
8.9
94
Not enough data
8.7
94
Not enough data
Security
9.0
88
Not enough data
8.9
86
Not enough data
8.8
86
Not enough data
Data Quality
9.0
94
Not enough data
8.7
93
Not enough data
9.0
93
Not enough data
Maintainence
8.7
85
Not enough data
8.8
84
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
172
8.6
122
8.5
164
8.3
120
Functionality
9.1
175
9.0
121
9.2
177
9.1
124
9.1
173
9.0
125
9.0
167
8.9
124
9.1
168
9.3
123
Deployment
8.9
64
Not enough data
8.9
64
Not enough data
8.9
66
Not enough data
8.9
66
Not enough data
9.0
67
Not enough data
Deployment
8.9
62
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
64
Not enough data
8.8
65
Not enough data
9.2
61
Not enough data
9.0
69
Not enough data
Operations
8.7
62
Not enough data
8.8
62
Not enough data
9.0
63
Not enough data
Management
8.8
61
Not enough data
8.7
61
Not enough data
9.1
59
Not enough data
Generative AI
8.3
28
Not enough data
8.3
28
Not enough data
System
8.9
180
Not enough data
Model Development
8.7
183
Not enough data
7.9
187
Not enough data
8.3
186
Not enough data
8.7
191
Not enough data
Model Development
8.5
172
Not enough data
Machine/Deep Learning Services
8.2
174
Not enough data
8.5
180
Not enough data
8.3
172
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
179
Not enough data
8.7
180
Not enough data
9.0
188
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
9.2
10
Not enough data
9.2
6
Not enough data
9.3
7
Not enough data
Data Management
9.0
185
|
Verified
8.9
227
|
Verified
8.9
180
|
Verified
8.3
210
|
Verified
8.9
181
|
Verified
8.9
217
|
Verified
8.8
180
|
Verified
8.6
222
|
Verified
8.7
167
|
Verified
8.3
204
|
Verified
9.1
172
|
Verified
8.6
201
|
Verified
Integration
8.8
168
|
Verified
8.6
204
|
Verified
8.8
167
|
Verified
8.6
218
|
Verified
9.1
175
|
Verified
8.6
201
|
Verified
Deployment
7.9
156
|
Verified
7.7
186
|
Verified
9.1
178
|
Verified
9.1
226
|
Verified
Performance
9.2
179
|
Verified
9.1
237
|
Verified
Security
8.9
170
|
Verified
8.7
208
|
Verified
8.9
168
|
Verified
9.1
214
|
Verified
Generative AI
8.5
76
7.6
127
8.4
75
7.8
124
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
Storage
Not enough data
9.1
69
Not enough data
8.7
69
Availability
Not enough data
8.3
61
Not enough data
8.5
65
Not enough data
8.6
67
Performance
Not enough data
8.5
64
Security
Not enough data
8.7
69
Not enough data
8.8
68
Not enough data
8.4
68
Not enough data
8.6
64
Support
Not enough data
8.7
65
Not enough data
8.8
65
Data Management
9.0
68
Not enough data
8.8
70
Not enough data
8.8
68
Not enough data
9.1
69
Not enough data
Agentic AI - DataOps Platforms
9.1
9
Not enough data
8.8
7
Not enough data
8.9
9
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
Analytics
8.8
67
Not enough data
8.5
67
Not enough data
Monitoring and Management
8.6
67
Not enough data
8.6
68
Not enough data
Cloud Deployment
9.0
63
Not enough data
9.0
64
Not enough data
Generative AI
8.9
36
Not enough data
8.9
36
Not enough data
Centralized computation
Not enough data
9.0
26
Localized computation
Not enough data
8.5
27
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Customization - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality - AI Agent Builders
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 and Analytics - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - AI Agent Builders
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Traffic Management & Performance - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Observability - AI Gateways
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
78
Not enough data
8.8
80
Data Analysis
Not enough data
9.2
79
Not enough data
9.1
79
Decision Making
Not enough data
8.8
80
Not enough data
8.7
77
Not enough data
8.7
80
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
237
8.8
175
8.9
245
8.9
173
9.3
264
8.7
167
Integrations
8.3
219
8.4
136
9.1
265
8.5
133
Platform
8.9
256
8.9
151
8.9
252
8.9
165
9.1
265
8.5
133
Processing
9.0
246
9.2
168
9.0
252
9.1
161
Data Transformation
8.9
227
8.8
284
9.1
235
9.3
293
Connectivity
8.7
206
8.1
251
9.2
230
8.2
249
9.0
221
8.7
278
9.2
231
8.7
270
Operations
8.4
228
8.5
279
8.8
226
8.7
277
8.6
213
8.3
255
8.6
209
8.4
262
9.3
232
8.5
254
Building Reports
9.0
156
Not enough data
8.6
145
Not enough data
7.6
123
Not enough data
8.4
148
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 and Google Cloud BigQuery are categorized as ETL Tools, Big Data Processing and Distribution, Big Data Analytics, and Data Warehouse
Unique Categories
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
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
15.8%
Financial Services
10.3%
Computer Software
8.5%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
57.7%
Information Technology and Services
16.0%
Computer Software
13.4%
Retail
7.0%
Financial Services
6.6%
Marketing and Advertising
5.2%
Other
51.8%
Alternatives
Discussions
What is Lakehouse in Databricks?
4 Comments
BK
Lakehouse architecture is the merging of the data warehouse and data lake concepts into a single platform, with built-in support for lineage maintenance and ML.Read more
What are the features of Databricks?
4 Comments
SM
Delta Lake
Lakehosue platform
Schema evolution
Data quarantine & Data Quality
Data Integration & TransformationsRead more
What does Databricks software do?
3 Comments
SM
It will work like Hadoop, databricks provide the services like big data.
Databricks also work like in advanced level it's have capability to process large...Read more
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