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- Google Cloud BigQuery-vs-Oracle Autonomous Data Warehouse
Compare Google Cloud BigQuery and Oracle Autonomous Data Warehouse 
At a Glance
Market Segments
Enterprise (39.6% of reviews)
Mid-Market (44.4% of reviews)
Entry-Level Pricing
Free
No pricing available
Google Cloud BigQuery
Star Rating
(1,146)4.5 out of 5
Market Segments
Enterprise (39.6% of reviews)
Entry-Level Pricing
Free
Free Trial is available
Browse all 5 pricing plansOracle Autonomous Data Warehouse
Star Rating
(15)4.3 out of 5
Market Segments
Mid-Market (44.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Oracle Autonomous Data WarehouseSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Google Cloud BigQuery excels in data integration with a score of 9.0, allowing seamless connections to various data sources, while Oracle Autonomous Data Warehouse, although strong, has a slightly lower integration score, indicating it may not be as versatile in connecting with diverse data environments.
- Reviewers mention that Google Cloud BigQuery's scalability is a standout feature, scoring 9.3, which is crucial for handling large datasets efficiently. In contrast, Oracle Autonomous Data Warehouse also scores well in scalability but does not match the same level of performance under heavy loads.
- G2 users highlight the real-time analytics capabilities of Google Cloud BigQuery, scoring 8.8, which allows for immediate insights and decision-making. Users on G2 note that Oracle Autonomous Data Warehouse, while capable, does not provide the same immediacy in analytics, which can be a drawback for time-sensitive operations.
- Reviewers say that Google Cloud BigQuery's built-in data analytics features, scoring 8.6, are user-friendly and effective for data exploration. In comparison, Oracle Autonomous Data Warehouse's analytics capabilities are robust but may require more technical expertise to fully leverage.
- Users report that the quality of support for Google Cloud BigQuery, with a score of 8.3, is generally responsive and helpful, making it easier for users to resolve issues quickly. Conversely, Oracle Autonomous Data Warehouse has received mixed reviews regarding support, with some users feeling that response times could be improved.
- Users on G2 mention that Google Cloud BigQuery's data security features, scoring 9.1, are highly regarded, particularly for its encryption and role-based authorization. Oracle Autonomous Data Warehouse also offers strong security measures, but some users feel it lacks the same level of transparency and ease of use in managing security settings.
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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 Autonomous Data Warehouse
No pricing availableFree Trial
Google Cloud BigQuery
Free Trial is available
Oracle Autonomous Data Warehouse
Free Trial is available
Ratings
Meets Requirements
8.8
565
Not enough data
Ease of Use
8.7
577
Not enough data
Ease of Setup
8.6
337
Not enough data
Ease of Admin
8.5
216
Not enough data
Quality of Support
8.3
519
Not enough data
Has the product been a good partner in doing business?
8.7
210
Not enough data
Product Direction (% positive)
9.2
554
Not enough data
Features by Category
Management
8.3
71
Not enough data
8.1
69
Not enough data
Functionality
8.7
69
Not enough data
8.8
72
Not enough data
8.8
72
Not enough data
8.8
73
Not enough data
9.2
72
Not enough data
Data Management
8.8
147
|
Verified
Not enough data
8.1
140
|
Verified
Not enough data
8.7
144
|
Verified
Not enough data
8.4
140
|
Verified
Not enough data
8.1
129
|
Verified
Not enough data
8.6
131
|
Verified
Not enough data
Integration
8.3
130
|
Verified
Not enough data
8.5
142
|
Verified
Not enough data
8.5
130
|
Verified
Not enough data
Deployment
7.6
118
|
Verified
Not enough data
9.0
141
|
Verified
Not enough data
Performance
9.1
145
|
Verified
Not enough data
Security
8.7
137
|
Verified
Not enough data
9.0
142
|
Verified
Not enough data
Generative AI
7.6
58
Not enough data
7.6
56
Not enough data
Storage
8.8
52
Not enough data
8.5
51
Not enough data
Availability
8.3
45
Not enough data
8.5
48
Not enough data
8.3
50
Not enough data
Performance
8.5
48
Not enough data
Security
8.4
52
Not enough data
8.5
51
Not enough data
8.3
50
Not enough data
8.5
46
Not enough data
Support
8.5
48
Not enough data
8.7
46
Not enough data
Automation
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Administration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Warehouse Automation
Not enough data
Not enough data
Centralized computation
8.3
11
Not enough data
Localized computation
8.1
12
Not enough data
Statistical Tool
8.6
52
Not enough data
9.0
54
Not enough data
8.7
53
Not enough data
Data Analysis
9.2
52
Not enough data
9.1
53
Not enough data
Decision Making
8.8
54
Not enough data
8.6
53
Not enough data
8.6
54
Not enough data
8.6
52
Not enough data
Generative AI
7.5
27
Not enough data
7.5
27
Not enough data
Marketing Operations
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
Not enough data
Campaign Activity
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
Not enough data
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
8.6
134
Not enough data
8.8
132
Not enough data
8.5
126
Not enough data
Integrations
8.0
96
Not enough data
8.3
93
Not enough data
Platform
8.6
109
Not enough data
8.6
124
Not enough data
8.3
93
Not enough data
Processing
9.1
126
Not enough data
8.9
120
Not enough data
Data Transformation
8.8
236
Not enough data
9.3
243
Not enough data
Connectivity
8.0
205
Not enough data
8.1
204
Not enough data
8.7
231
Not enough data
8.7
223
Not enough data
Operations
8.4
233
Not enough data
8.6
230
Not enough data
8.3
209
Not enough data
8.3
216
Not enough data
8.5
207
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 Autonomous Data Warehouse are categorized as Data Warehouse
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, and Data Clean Room
Oracle Autonomous Data Warehouse is categorized as Data Warehouse Automation
Reviews
Reviewers' Company Size
Google Cloud BigQuery
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Oracle Autonomous Data Warehouse
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
14.2%
Computer Software
14.0%
Retail
7.6%
Financial Services
6.9%
Marketing and Advertising
5.2%
Other
52.1%
Computer Software
33.3%
Retail
11.1%
Marketing and Advertising
11.1%
Investment Management
11.1%
Internet
11.1%
Other
22.2%
Most Helpful Reviews
Google Cloud BigQuery
Most Helpful Favorable Review
Shailendra P.
Verified User in Retail
I like how it's integrated with our cloud produtcs making development and over all architecture seamless. I like the interface to create manage and use datasets!
Most Helpful Critical Review
Chris H.
Verified User in Computer Software
Cons: Resource limits. Because of how Google Cloud BigQuery uses nodes, typical SQL processes involving window functions can fail. We've regularly hit resources exceeded limits on data sets of a few million records, which seems absurd these days....
Oracle Autonomous Data Warehouse
Most Helpful Favorable Review
Verified User in Investment Management
I like that the software increases both efficiencies and security. It takes out the element of human error and replaces it with machine learning.
Most Helpful Critical Review
Verified User in Computer Software
Lack of HDFS/HIVE support - it is my primary environment
Shailendra P.
Verified User in Retail
I like how it's integrated with our cloud produtcs making development and over all architecture seamless. I like the interface to create manage and use datasets!
Verified User in Investment Management
I like that the software increases both efficiencies and security. It takes out the element of human error and replaces it with machine learning.
Chris H.
Verified User in Computer Software
Cons: Resource limits. Because of how Google Cloud BigQuery uses nodes, typical SQL processes involving window functions can fail. We've regularly hit resources exceeded limits on data sets of a few million records, which seems absurd these days....
Verified User in Computer Software
Lack of HDFS/HIVE support - it is my primary environment
Alternatives
Discussions
Is Big Query free?
3 comments
BG
NoRead more
Yes, BigQuery is a 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
Oracle Autonomous Data Warehouse has no discussions with answers
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