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Compare Google Cloud BigQuery and Oracle Database 
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At a Glance
Market Segments
Enterprise (38.0% of reviews)
Enterprise (61.0% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,201)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansOracle Database
Star Rating
(988)4.3 out of 5
Market Segments
Enterprise (61.0% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Oracle DatabaseGoogle Cloud BigQuery vs Oracle Database
When assessing the two solutions, reviewers found Google Cloud BigQuery easier to use, set up, and administer. Reviewers also preferred doing business with Google Cloud BigQuery overall.
- Reviewers felt that Oracle Database meets the needs of their business better than Google Cloud BigQuery.
- When comparing quality of ongoing product support, reviewers felt that Google Cloud BigQuery is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Google Cloud BigQuery over Oracle Database.
Pricing
Entry-Level Pricing
Google 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
Oracle Database
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
Oracle Database
No trial information availableRatings
Meets Requirements
8.8
612
9.0
710
Ease of Use
8.7
626
8.3
716
Ease of Setup
8.8
401
7.6
373
Ease of Admin
8.5
224
7.8
327
Quality of Support
8.4
564
8.3
680
Has the product been a good partner in doing business?
8.7
217
8.1
329
Product Direction (% positive)
9.2
600
8.2
679
Features by Category
Management
8.6
123
Not enough data
8.3
121
Not enough data
Functionality
9.0
121
Not enough data
9.1
124
Not enough data
9.0
124
Not enough data
8.9
123
Not enough data
9.4
124
Not enough data
Data Management
8.9
223
|
Verified
Not enough data
8.3
214
|
Verified
Not enough data
8.9
219
|
Verified
Not enough data
8.6
215
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.7
205
|
Verified
Not enough data
Integration
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Not enough data
Deployment
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Not enough data
Performance
9.2
220
|
Verified
Not enough data
Security
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Not enough data
Generative AI
7.7
132
Not enough data
7.9
129
Not enough data
Management
Not enough data
9.0
143
Not enough data
8.9
145
Not enough data
8.9
128
Not enough data
8.8
138
Support
Not enough data
8.4
140
Not enough data
8.9
143
Not enough data
8.7
141
Not enough data
8.8
139
Security
Not enough data
8.8
141
Not enough data
8.8
143
Not enough data
8.7
136
Not enough data
8.8
142
Performance
Not enough data
8.6
139
Not enough data
8.8
137
Not enough data
8.5
138
Not enough data
8.8
140
Not enough data
8.8
144
Database Features
Not enough data
9.0
494
Not enough data
9.0
496
Not enough data
8.9
501
Not enough data
8.7
493
Not enough data
9.0
493
Not enough data
8.8
486
Not enough data
8.9
495
Storage
9.1
70
Not enough data
8.8
70
Not enough data
Availability
8.4
62
Not enough data
8.5
66
Not enough data
8.6
68
Not enough data
Performance
8.5
65
Not enough data
Security
8.7
70
Not enough data
8.8
69
Not enough data
8.4
69
Not enough data
8.7
65
Not enough data
Support
8.7
66
Not enough data
8.9
66
Not enough data
Centralized computation
9.1
27
Not enough data
Localized computation
8.5
28
Not enough data
Statistical Tool
8.7
77
Not enough data
9.0
78
Not enough data
8.8
78
Not enough data
Data Analysis
9.3
77
Not enough data
9.1
78
Not enough data
Decision Making
8.8
79
Not enough data
8.7
77
Not enough data
8.7
79
Not enough data
8.7
77
Not enough data
Generative AI
7.6
50
Not enough data
7.9
50
Not enough data
Marketing Operations
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
Not enough data
Campaign Activity
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
Not enough data
Agentic AI - Marketing Analytics
8.8
16
Not enough data
9.6
16
Not enough data
8.3
16
Not enough data
Configuration
Not enough data
8.7
91
Not enough data
8.3
87
Not enough data
8.6
89
Not enough data
8.4
84
Not enough data
8.9
88
Database Administration
Not enough data
8.5
85
Not enough data
8.8
83
Not enough data
8.9
85
Availability
Not enough data
8.9
87
Not enough data
9.0
89
Not enough data
8.8
83
Not enough data
8.7
84
Security
Not enough data
8.8
86
Not enough data
8.6
83
Not enough data
8.7
80
Data Management
Not enough data
8.9
81
Not enough data
8.7
80
Database
8.8
178
Not enough data
8.9
176
Not enough data
8.8
170
Not enough data
Integrations
8.4
139
Not enough data
8.6
136
Not enough data
Platform
8.9
153
Not enough data
8.9
168
Not enough data
8.6
136
Not enough data
Processing
9.3
170
Not enough data
9.1
164
Not enough data
Data Transformation
8.8
288
Not enough data
9.3
295
Not enough data
Connectivity
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Not enough data
Operations
8.5
283
Not enough data
8.7
282
Not enough data
8.3
260
Not enough data
8.4
267
Not enough data
8.5
259
Not enough data
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
Google Cloud BigQuery and Oracle Database share no categories
Unique Categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Oracle Database is categorized as Relational Databases and Database as a Service (DBaaS)
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Oracle Database
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
16.2%
Computer Software
13.6%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.6%
Information Technology and Services
20.6%
Computer Software
11.5%
Financial Services
5.6%
Banking
5.1%
Hospital & Health Care
4.3%
Other
52.9%
Alternatives
Discussions
Is Big Query free?
3 Comments
BG
noRead 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
What is Oracle Database used for?
2 Comments
AA
Oracle Database is a relational database management system (RDBMS) that is widely used in the industry for managing and storing large volumes of data. It...Read more
What is the solution for extracting pdf data stored in DB in clob format
1 Comment
WG
try APEXRead more
Why oracles was not up the mark in mobile arena.
1 Comment
WG
All Oracle products have mobile versions.
For development, try APEX.Read more
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