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Compare Azure Data Lake Store and Google Cloud BigQuery 
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At a Glance
Market Segments
Enterprise (44.4% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Azure Data Lake Store
Star Rating
(39)4.5 out of 5
Market Segments
Enterprise (44.4% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Azure Data Lake StoreGoogle Cloud BigQuery
Star Rating
(1,201)4.5 out of 5
Market Segments
Enterprise (38.1% of reviews)
Pros & Cons
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 integration with a score of 9.0, allowing seamless connections to various data sources, while Azure Data Lake Store, although strong, has a slightly lower integration score of 8.6. Reviewers mention that BigQuery's ability to handle large datasets efficiently is a significant advantage for enterprises.
- Reviewers mention that Azure Data Lake Store shines in data security, achieving a score of 9.1 for data security features, which include robust encryption and role-based authorization. In contrast, Google Cloud BigQuery scores 8.7 in encryption, indicating that Azure may offer more comprehensive security measures for sensitive data.
- Users on G2 highlight that Google Cloud BigQuery's built-in data analytics capabilities, rated at 8.6, provide powerful tools for real-time data analysis, whereas Azure Data Lake Store's analytics features are perceived as less integrated, leading to a lower score of 8.8. Reviewers say that the ease of use in BigQuery's analytics tools enhances productivity.
- G2 users report that Azure Data Lake Store offers superior data transformation capabilities, scoring 9.1 compared to BigQuery's 8.9. Reviewers mention that Azure's transformation tools are more intuitive, making it easier for users to manipulate data without extensive coding knowledge.
- Users say that Google Cloud BigQuery's scalability is a standout feature, with a score of 9.3, allowing businesses to grow their data needs without performance degradation. In contrast, Azure Data Lake Store, while still scalable, scores slightly lower at 9.1, indicating that BigQuery may be better suited for rapidly expanding data environments.
- Reviewers mention that Azure Data Lake Store provides better multi-user access features, scoring 9.0, which facilitates collaboration among teams. Google Cloud BigQuery, while also effective, scores 8.5 in this area, suggesting that Azure may offer a more robust environment for collaborative data projects.
Pricing
Entry-Level Pricing
Azure Data Lake Store
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
Azure Data Lake Store
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
9.2
34
8.8
612
Ease of Use
8.7
34
8.7
626
Ease of Setup
9.2
21
8.8
401
Ease of Admin
8.5
19
8.5
224
Quality of Support
9.1
33
8.4
564
Has the product been a good partner in doing business?
8.7
18
8.7
217
Product Direction (% positive)
9.3
33
9.2
600
Features by Category
Management
Not enough data
8.6
123
Not enough data
8.3
121
Functionality
Not enough data
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
Data Management
Not enough data
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
Integration
Not enough data
8.6
204
|
Verified
Not enough data
8.6
216
|
Verified
Not enough data
8.6
204
|
Verified
Deployment
Not enough data
7.8
190
|
Verified
Not enough data
9.1
215
|
Verified
Performance
Not enough data
9.1
220
|
Verified
Security
Not enough data
8.7
211
|
Verified
Not enough data
9.2
217
|
Verified
Generative AI
Not enough data
7.7
132
Not enough data
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
Centralized computation
Not enough data
9.1
27
Localized computation
Not enough data
8.5
28
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
79
Not enough data
8.8
79
Data Analysis
Not enough data
9.3
78
Not enough data
9.1
79
Decision Making
Not enough data
8.8
80
Not enough data
8.7
78
Not enough data
8.7
80
Not enough data
8.7
78
Generative AI
Not enough data
7.5
51
Not enough data
7.8
51
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
9.1
26
8.8
178
8.9
26
8.9
176
9.1
28
8.8
170
Integrations
8.9
23
8.4
139
8.7
24
8.6
136
Platform
8.9
25
8.9
153
9.1
27
8.9
168
8.7
24
8.6
136
Processing
9.3
27
9.3
170
9.2
26
9.1
164
Data Transformation
Not enough data
8.8
288
Not enough data
9.3
295
Connectivity
Not enough data
8.1
256
Not enough data
8.2
254
Not enough data
8.7
283
Not enough data
8.8
274
Operations
Not enough data
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
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
Azure Data Lake Store and Google Cloud BigQuery are categorized as Big Data Processing and Distribution
Unique Categories
Azure Data Lake Store has no unique categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Azure Data Lake Store
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
41.7%
Computer Software
8.3%
Automotive
8.3%
Insurance
5.6%
Manufacturing
2.8%
Other
33.3%
Information Technology and Services
16.2%
Computer Software
13.5%
Retail
7.1%
Financial Services
6.5%
Marketing and Advertising
5.1%
Other
51.7%
Alternatives
Discussions
Azure Data Lake Store has no discussions with answers
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
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