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- Azure Data Lake Analytics
- Google Cloud BigQuery
- Azure Data Lake Analytics-vs-Google Cloud BigQuery
Compare Azure Data Lake Analytics and Google Cloud BigQuery 
At a Glance
Market Segments
Enterprise (44.4% of reviews)
Enterprise (39.6% of reviews)
Entry-Level Pricing
No pricing available
Free
Azure Data Lake Analytics
Star Rating
(37)4.2 out of 5
Market Segments
Enterprise (44.4% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Azure Data Lake AnalyticsGoogle 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 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 Analytics scores slightly lower at 8.6, which may limit integration flexibility for some users.
- Reviewers mention that Google Cloud BigQuery's real-time analytics capabilities are impressive, scoring 8.8, making it ideal for businesses needing immediate insights, whereas Azure Data Lake Analytics has a lower score of 8.1 in this area, which could affect time-sensitive decision-making.
- G2 users highlight that Google Cloud BigQuery's scalability is a standout feature with a score of 9.3, enabling users to handle large datasets efficiently, while Azure Data Lake Analytics, with a score of 9.0, may not scale as effectively for extremely large workloads.
- Users on G2 report that Google Cloud BigQuery's data quality features, scoring 8.8, provide robust tools for ensuring data accuracy, while Azure Data Lake Analytics, with a score of 8.5, may not offer the same level of assurance in data integrity.
- Reviewers mention that Google Cloud BigQuery's user, role, and access management features score 8.7, providing a comprehensive approach to security and user management, while Azure Data Lake Analytics scores lower at 8.1, which could lead to potential security concerns for larger teams.
- Users say that Google Cloud BigQuery's customer support is rated at 8.3, which is slightly lower than Azure Data Lake Analytics at 8.5, indicating that users may find more responsive support with Azure, particularly for troubleshooting and guidance.
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Pricing
Entry-Level Pricing
Azure Data Lake Analytics
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 Analytics
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.6
23
8.8
565
Ease of Use
8.4
23
8.7
577
Ease of Setup
8.3
11
8.6
337
Ease of Admin
8.3
11
8.5
216
Quality of Support
8.5
23
8.3
519
Has the product been a good partner in doing business?
8.6
11
8.7
210
Product Direction (% positive)
9.0
24
9.2
554
Features by Category
Management
Not enough data
8.3
71
Not enough data
8.1
69
Functionality
Not enough data
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
Data Management
Not enough data
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
Integration
Not enough data
8.3
130
|
Verified
Not enough data
8.5
142
|
Verified
Not enough data
8.5
130
|
Verified
Deployment
Not enough data
7.6
118
|
Verified
Not enough data
9.0
141
|
Verified
Performance
Not enough data
9.1
145
|
Verified
Security
Not enough data
8.7
137
|
Verified
Not enough data
9.0
142
|
Verified
Generative AI
Not enough data
7.6
58
Not enough data
7.6
56
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
Centralized computation
Not enough data
8.3
11
Localized computation
Not enough data
8.1
12
Statistical Tool
Not enough data
8.6
52
Not enough data
9.0
54
Not enough data
8.7
53
Data Analysis
Not enough data
9.2
52
Not enough data
9.1
53
Decision Making
Not enough data
8.8
54
Not enough data
8.6
53
Not enough data
8.6
54
Not enough data
8.6
52
Generative AI
Not enough data
7.5
27
Not enough data
7.5
27
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
Agentic AI - Marketing Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database
Not enough data
8.6
134
Not enough data
8.8
132
Not enough data
8.5
126
Integrations
Not enough data
8.0
96
Not enough data
8.3
93
Platform
Not enough data
8.6
109
Not enough data
8.6
124
Not enough data
8.3
93
Processing
Not enough data
9.1
126
Not enough data
8.9
120
Data Transformation
8.1
17
|
Verified
8.8
236
8.8
16
|
Verified
9.3
243
Connectivity
8.4
18
|
Verified
8.0
205
8.6
17
|
Verified
8.1
204
7.9
19
|
Verified
8.7
231
9.0
20
|
Verified
8.7
223
Operations
8.5
19
|
Verified
8.4
233
8.5
17
|
Verified
8.6
230
8.1
18
|
Verified
8.3
209
8.9
16
|
Verified
8.3
216
8.2
15
|
Verified
8.5
207
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 Analytics and Google Cloud BigQuery are categorized as Big Data Analytics
Unique Categories
Azure Data Lake Analytics has no unique categories
Google Cloud BigQuery is categorized as Columnar Databases, Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Azure Data Lake Analytics
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
Computer Software
14.8%
Consumer Goods
11.1%
Telecommunications
7.4%
Internet
7.4%
Information Technology and Services
7.4%
Other
51.9%
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%
Most Helpful Reviews
Azure Data Lake Analytics
Most Helpful Favorable Review
Rohan S.
Verified User in Internet
Easy to get started with Data Lake, and build on structured/unstructured data sets using data lake analytics. The data lake analytics tool is transformation rich, and provides loads of compute power to speed up processing times (without load contingencies)
Most Helpful Critical Review
Omkar C.
Verified User in Computer Software
Maintenance charges for hourly basis when spinning up.
Google Cloud BigQuery
Most Helpful Favorable Review
Verified User in Telecommunications
BigQuery is awesome - there is enough that can be done within the free tier, it does not require significant operations expertise [ serverless ], you can get analytics results relatively quickly, the storage is rather cheap. It is the go-to for data...
Most Helpful Critical Review
Shubham S.
Verified User in Program Development
I didn't find anything which I can dislike.
Rohan S.
Verified User in Internet
Easy to get started with Data Lake, and build on structured/unstructured data sets using data lake analytics. The data lake analytics tool is transformation rich, and provides loads of compute power to speed up processing times (without load contingencies)
Verified User in Telecommunications
BigQuery is awesome - there is enough that can be done within the free tier, it does not require significant operations expertise [ serverless ], you can get analytics results relatively quickly, the storage is rather cheap. It is the go-to for data...
Omkar C.
Verified User in Computer Software
Maintenance charges for hourly basis when spinning up.
Shubham S.
Verified User in Program Development
I didn't find anything which I can dislike.
Alternatives
Discussions
Azure Data Lake Analytics has no discussions with answers
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
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