Introducing G2.ai, the future of software buying.Try now
Compare Databricks Data Intelligence Platform and Google Cloud BigQuery 
Featured Products
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
Starburst
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
QuerySurge
Visit Website
Sponsored
You’re seeing this ad based on the product’s relevance to this page. Sponsored content does not receive preferential treatment in any of G2’s ratings.
CorralData
Visit Website
At a Glance
Market Segments
Enterprise (46.5% of reviews)
Enterprise (38.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Databricks Data Intelligence Platform
Star Rating
(626)4.6 out of 5
Market Segments
Enterprise (46.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Databricks Data Intelligence PlatformGoogle Cloud BigQuery
Star Rating
(1,202)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in Data Querying with a score of 9.3, allowing for fast and efficient SQL queries on large datasets. In contrast, Databricks Data Intelligence Platform, while still strong at 9.0, is noted for its Data Lake Analytics capabilities, scoring 9.0, which reviewers say provides robust analytics on data lakes.
- Reviewers mention that Google Cloud BigQuery's Data Security features are highly rated at 9.0, ensuring strong compliance and protection of sensitive data. Databricks, with a score of 8.9, is also secure but users say it lacks some of the advanced security features that BigQuery offers.
- Users on G2 highlight the Notebooks feature in Databricks, which scores an impressive 9.3, making it a favorite for data scientists who appreciate the interactive coding environment. In comparison, Google Cloud BigQuery's notebook capabilities are less emphasized, leading to a lower score of 8.5.
- Reviewers mention that Databricks shines in Data Integration with a score of 9.0, allowing seamless connections to various data sources. Google Cloud BigQuery, while still effective at 8.9, is noted for its limitations in integrating with certain third-party tools, according to user feedback.
- Users say that Databricks' AI/ML Integration capabilities are robust, scoring 8.8, which allows for easy implementation of machine learning models. Google Cloud BigQuery, with a score of 8.4, is seen as less flexible in this area, with reviewers noting that it requires more manual setup for similar tasks.
- G2 users report that both platforms are strong in Scalability, each scoring 9.1, but reviewers mention that Google Cloud BigQuery is particularly praised for its ability to handle massive datasets effortlessly, while Databricks is noted for its performance in distributed computing environments.
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
512
8.8
612
Ease of Use
8.8
521
8.7
626
Ease of Setup
8.6
394
8.8
401
Ease of Admin
8.3
169
8.5
224
Quality of Support
8.7
487
8.4
564
Has the product been a good partner in doing business?
8.8
172
8.7
217
Product Direction (% positive)
9.6
500
9.2
600
Features by Category
Reports
7.5
6
Not enough data
7.5
6
Not enough data
7.8
6
Not enough data
7.7
5
Not enough data
8.0
5
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
7.5
6
Not enough data
7.2
6
Not enough data
8.3
6
Not enough data
8.1
6
Not enough data
7.5
6
Not enough data
7.3
5
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
8.1
6
Not enough data
8.0
5
Not enough data
8.3
5
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
92
Not enough data
8.6
89
Not enough data
9.0
90
Not enough data
8.6
91
Not enough data
Management
8.5
84
Not enough data
8.7
83
Not enough data
8.6
83
Not enough data
8.5
82
Not enough data
8.7
82
Not enough data
Compliance
8.8
90
Not enough data
8.7
89
Not enough data
8.9
88
Not enough data
8.7
88
Not enough data
Security
9.0
80
Not enough data
8.9
82
Not enough data
8.9
82
Not enough data
Data Quality
9.0
90
Not enough data
8.7
89
Not enough data
9.0
87
Not enough data
Maintainence
8.8
81
Not enough data
8.8
80
Not enough data
Generative AI
8.4
79
Not enough data
8.5
78
Not enough data
Agentic AI - Data Governance
8.8
8
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
8.3
8
Not enough data
9.0
8
Not enough data
9.0
8
Not enough data
Management
8.6
167
8.6
123
8.5
161
8.3
121
Functionality
9.1
168
9.0
121
9.2
169
9.1
124
9.1
170
9.0
124
9.0
162
8.9
123
9.1
164
9.4
124
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
177
|
Verified
8.9
223
|
Verified
8.9
177
|
Verified
8.3
214
|
Verified
8.8
172
|
Verified
8.9
219
|
Verified
8.7
175
|
Verified
8.6
215
|
Verified
8.7
165
|
Verified
8.3
204
|
Verified
9.0
167
|
Verified
8.7
205
|
Verified
Integration
8.8
163
|
Verified
8.6
204
|
Verified
8.8
163
|
Verified
8.6
216
|
Verified
9.1
171
|
Verified
8.6
204
|
Verified
Deployment
7.9
152
|
Verified
7.8
190
|
Verified
9.1
173
|
Verified
9.1
215
|
Verified
Performance
9.1
173
|
Verified
9.2
220
|
Verified
Security
8.8
164
|
Verified
8.7
211
|
Verified
8.9
165
|
Verified
9.2
217
|
Verified
Generative AI
8.5
75
7.7
132
8.4
74
7.9
129
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
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
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Statistical Tool
Not enough data
8.7
77
Not enough data
9.0
78
Not enough data
8.8
78
Data Analysis
Not enough data
9.3
77
Not enough data
9.1
78
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
7.6
50
Not enough data
7.9
50
Marketing Operations
Not enough data
8.8
66
Not enough data
9.2
64
Not enough data
8.9
65
Not enough data
9.4
66
Not enough data
8.8
63
Not enough data
8.5
63
Campaign Activity
Not enough data
9.1
68
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
62
Not enough data
8.9
63
Not enough data
9.1
65
Agentic AI - Marketing Analytics
Not enough data
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Database
8.7
218
8.8
178
8.9
224
8.9
176
9.3
225
8.8
170
Integrations
8.3
207
8.4
139
9.2
227
8.6
136
Platform
9.0
220
8.9
153
8.8
223
8.9
168
9.2
227
8.6
136
Processing
9.0
219
9.3
170
9.0
218
9.1
164
Data Transformation
8.8
219
8.8
288
9.0
226
9.3
295
Connectivity
8.7
202
8.1
256
9.2
225
8.2
254
9.0
217
8.7
283
9.2
225
8.8
274
Operations
8.4
223
8.5
283
8.8
218
8.7
282
8.6
207
8.3
260
8.6
205
8.4
267
9.3
220
8.5
259
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 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
14.7%
Financial Services
11.4%
Computer Software
8.2%
Consulting
3.9%
Hospital & Health Care
3.8%
Other
58.1%
Information Technology and Services
16.2%
Computer Software
13.6%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.6%
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
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
