Compare Databricks Data Intelligence Platform and Google Cloud BigQuery 
At a Glance
Market Segments
Enterprise (46.4% of reviews)
Enterprise (39.9% of reviews)
Entry-Level Pricing
No pricing available
Free
Databricks Data Intelligence Platform
Star Rating
(424)4.6 out of 5
Market Segments
Enterprise (46.4% of reviews)
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about Databricks Data Intelligence PlatformGoogle Cloud BigQuery
Star Rating
(1,121)4.5 out of 5
Market Segments
Enterprise (39.9% of reviews)
Entry-Level Pricing
Free
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, making it a preferred choice for those needing fast and efficient data retrieval. In contrast, Databricks Data Intelligence Platform scores 8.8 in this area, which some users feel may not meet the speed requirements for large datasets.
- Reviewers mention that Google Cloud BigQuery's data integration capabilities are robust, scoring 9.0, which allows seamless connections with various data sources. Databricks also scores well at 9.0, but users note that its integration with Spark is particularly strong, scoring 9.1, making it ideal for those heavily invested in Spark ecosystems.
- G2 users highlight that Google Cloud BigQuery's cloud deployment is highly rated at 9.1, providing excellent hybrid cloud support. Conversely, Databricks scores slightly lower at 8.9, with some users expressing a desire for more flexibility in deployment options.
- Users on G2 report that Google Cloud BigQuery's data quality management features are effective, scoring 8.8, which helps maintain data integrity. Databricks, while scoring 8.6, has received feedback that its data quality tools could be more intuitive for new users.
- Reviewers mention that Google Cloud BigQuery's real-time analytics capabilities are impressive, scoring 8.8, which is crucial for businesses needing immediate insights. Databricks, with a score of 8.5, is noted for its strong analytics but may lag slightly in real-time processing speed.
- Users say that Google Cloud BigQuery's ease of use is a significant advantage, with a score of 8.7, making it accessible for users with varying technical backgrounds. In contrast, Databricks, while also scoring 8.7, has received comments that its interface can be complex for beginners, requiring a steeper learning curve.
Featured Products
Sponsored
Savant Labs
(29)
Predictive Analytics
Visit Website
Sponsored
Reaktion
(3)
Predictive Analytics
Visit Website
Sponsored
Syncari
(42)
Predictive Analytics
Visit Website
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
318
8.8
541
Ease of Use
8.8
320
8.7
553
Ease of Setup
8.6
205
8.6
313
Ease of Admin
8.1
92
8.5
208
Quality of Support
8.5
298
8.3
496
Has the product been a good partner in doing business?
8.6
92
8.7
202
Product Direction (% positive)
9.5
304
9.2
530
Features by Category
Administration
8.8
36
Not enough data
9.0
35
Not enough data
9.2
36
Not enough data
9.0
37
Not enough data
Management
8.7
35
Not enough data
9.0
35
Not enough data
9.0
35
Not enough data
8.8
35
Not enough data
9.1
35
Not enough data
Compliance
9.1
36
Not enough data
8.8
35
Not enough data
9.1
34
Not enough data
8.7
34
Not enough data
Security
9.0
34
Not enough data
9.0
35
Not enough data
9.1
35
Not enough data
Data Quality
9.1
35
Not enough data
8.6
35
Not enough data
9.1
35
Not enough data
Maintainence
9.0
35
Not enough data
9.0
35
Not enough data
Generative AI
8.8
35
Not enough data
9.0
35
Not enough data
Management
8.3
95
8.4
68
8.3
91
8.1
66
Functionality
9.1
98
8.7
66
9.3
99
8.8
69
9.1
100
8.8
69
8.9
93
8.8
70
9.1
96
9.2
69
Deployment
8.7
37
Not enough data
8.7
38
Not enough data
8.6
39
Not enough data
8.8
39
Not enough data
8.8
39
Not enough data
Deployment
8.7
36
Not enough data
8.6
37
Not enough data
8.3
41
Not enough data
8.8
40
Not enough data
9.0
40
Not enough data
Management
8.8
36
Not enough data
8.6
37
Not enough data
9.2
33
Not enough data
9.0
41
Not enough data
Operations
8.5
37
Not enough data
8.7
36
Not enough data
8.8
37
Not enough data
Management
8.7
37
Not enough data
8.4
36
Not enough data
9.2
34
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
System
8.8
99
Not enough data
8.6
94
Not enough data
7.8
95
Not enough data
Model Development
8.8
89
Not enough data
7.9
96
Not enough data
8.4
94
Not enough data
8.8
96
Not enough data
Model Development
8.4
93
Not enough data
8.7
98
Not enough data
8.5
96
Not enough data
Machine/Deep Learning Services
8.3
85
Not enough data
8.7
90
Not enough data
8.3
83
Not enough data
8.2
86
Not enough data
Machine/Deep Learning Services
8.2
85
Not enough data
8.4
86
Not enough data
8.2
85
Not enough data
8.5
87
Not enough data
Deployment
8.5
90
Not enough data
8.8
94
Not enough data
8.9
98
Not enough data
Deployment
8.4
92
Not enough data
8.7
98
Not enough data
8.8
98
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
9.1
131
|
Verified
8.8
139
|
Verified
8.9
130
|
Verified
8.2
132
|
Verified
8.7
126
|
Verified
8.7
136
|
Verified
8.6
128
|
Verified
8.5
132
|
Verified
8.6
118
|
Verified
8.1
121
|
Verified
9.0
121
|
Verified
8.6
123
|
Verified
Integration
8.8
117
|
Verified
8.4
122
|
Verified
8.7
118
|
Verified
8.5
134
|
Verified
9.0
127
|
Verified
8.5
122
|
Verified
Deployment
7.9
107
|
Verified
7.6
110
|
Verified
9.1
128
|
Verified
9.0
133
|
Verified
Performance
9.1
129
|
Verified
9.1
137
|
Verified
Security
8.6
120
|
Verified
8.7
129
|
Verified
8.8
121
|
Verified
9.0
134
|
Verified
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Storage
Not enough data
8.8
52
Not enough data
8.5
51
Availability
Not enough data
8.3
45
Not enough data
8.5
48
Not enough data
8.3
50
Performance
Not enough data
8.5
48
Security
Not enough data
8.4
52
Not enough data
8.5
51
Not enough data
8.3
50
Not enough data
8.5
46
Support
Not enough data
8.5
48
Not enough data
8.7
46
Data Management
9.0
37
Not enough data
8.2
36
Not enough data
8.5
37
Not enough data
9.0
35
Not enough data
Analytics
8.7
35
Not enough data
8.4
34
Not enough data
Monitoring and Management
8.1
35
Not enough data
8.1
35
Not enough data
Cloud Deployment
9.1
32
Not enough data
9.1
32
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Centralized computation
Not enough data
8.3
11
Localized computation
Not enough data
8.1
12
Statistical Tool
Not enough data
8.5
50
Not enough data
9.0
52
Not enough data
8.8
51
Data Analysis
Not enough data
9.2
50
Not enough data
9.1
51
Decision Making
Not enough data
8.8
52
Not enough data
8.6
51
Not enough data
8.6
52
Not enough data
8.6
50
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Marketing Operations
Not enough data
8.9
49
Not enough data
9.1
47
Not enough data
9.0
48
Not enough data
9.4
49
Not enough data
9.0
46
Not enough data
8.6
46
Campaign Activity
Not enough data
9.1
51
Not enough data
9.4
50
Not enough data
8.7
47
Not enough data
9.2
45
Not enough data
8.9
47
Not enough data
9.2
48
Database
8.6
122
8.6
131
8.9
129
8.7
129
9.2
129
8.5
123
Integrations
8.3
114
8.0
93
9.2
131
8.2
90
Platform
9.0
125
8.6
106
8.8
128
8.6
121
9.2
131
8.2
90
Processing
9.0
128
9.1
123
9.0
127
8.9
117
Data Transformation
8.8
153
8.8
226
8.9
160
9.3
233
Connectivity
8.6
137
8.0
195
9.2
159
8.1
194
9.0
151
8.7
221
9.1
160
8.7
213
Operations
8.3
158
8.4
223
8.8
153
8.7
220
8.6
141
8.3
199
8.6
141
8.3
206
9.4
155
8.5
197
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 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 DataOps Platforms, MLOps Platforms, Data Science and Machine Learning Platforms, and Data Governance
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
15.0%
Computer Software
10.0%
Financial Services
9.5%
Marketing and Advertising
4.1%
Consulting
3.9%
Other
57.5%
Information Technology and Services
14.0%
Computer Software
13.5%
Retail
7.6%
Financial Services
7.0%
Marketing and Advertising
5.3%
Other
52.6%
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
Verified User in Airlines/Aviation
Too many customizations are needed to achieve the right mix of parameterization for optimal performance. On the other hand, snowflake provides lots of features out of the box without the developer worrying about these things.
Google Cloud BigQuery
Most Helpful Favorable Review
Abhiraj B.
Verified User in Information Services
The user interface is seamless, it also provides options to integrate data from various sources. Apart from that it can also train some ML models via queries which is also a plus.
Most Helpful Critical Review
Verified User in Consumer Services
partitioning only works with date. Join statements don't optimize even trivially without using where clause clauses. from table1 join table2 on table1.a=table2.a and table1.a=123 takes more resources and cost than from table1 ...
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...
Abhiraj B.
Verified User in Information Services
The user interface is seamless, it also provides options to integrate data from various sources. Apart from that it can also train some ML models via queries which is also a plus.
Verified User in Airlines/Aviation
Too many customizations are needed to achieve the right mix of parameterization for optimal performance. On the other hand, snowflake provides lots of features out of the box without the developer worrying about these things.
Verified User in Consumer Services
partitioning only works with date. Join statements don't optimize even trivially without using where clause clauses. from table1 join table2 on table1.a=table2.a and table1.a=123 takes more resources and cost than from table1 ...
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 2.5 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.
