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Compare Apache Spark for Azure HDInsight and Google Cloud BigQuery 
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At a Glance
Market Segments
Mid-Market (63.6% of reviews)
Enterprise (38.1% of reviews)
Entry-Level Pricing
No pricing available
Free
Apache Spark for Azure HDInsight
Star Rating
(12)4.0 out of 5
Market Segments
Mid-Market (63.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache Spark for Azure HDInsightGoogle 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 Apache Spark for Azure HDInsight, with a score of 8.0 for Hadoop integration, is noted for its strong compatibility with existing Hadoop ecosystems.
- Reviewers mention that Google Cloud BigQuery's real-time analytics capabilities score 8.8, making it a preferred choice for businesses needing immediate insights, whereas Apache Spark for Azure HDInsight scores 8.9 in real-time data collection, highlighting its efficiency in processing streaming data.
- G2 users highlight that Google Cloud BigQuery's data querying functionality is rated at 9.3, which reviewers say contributes to faster and more efficient data retrieval, while Apache Spark for Azure HDInsight's score of 8.3 in Spark integration indicates a solid but less optimized querying experience.
- Users on G2 report that Google Cloud BigQuery's cloud processing capabilities are rated at 9.2, showcasing its robust performance in cloud environments, while Apache Spark for Azure HDInsight, with a score of 8.7, is recognized for its versatility in handling various workloads but may not match the same level of cloud optimization.
- Reviewers mention that Google Cloud BigQuery's data security features score 9.1, emphasizing strong encryption and role-based authorization, while Apache Spark for Azure HDInsight, with a score of 8.4 in data governance, is noted for its solid security measures but may require additional configurations for optimal protection.
- Users say that Google Cloud BigQuery's ease of use is rated at 8.7, making it accessible for users with varying technical skills, while Apache Spark for Azure HDInsight, with a score of 8.5, is appreciated for its powerful features but may present a steeper learning curve for new users.
Pricing
Entry-Level Pricing
Apache Spark for Azure HDInsight
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
Apache Spark for Azure HDInsight
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.3
10
8.8
612
Ease of Use
8.5
10
8.7
626
Ease of Setup
Not enough data
8.8
401
Ease of Admin
Not enough data
8.5
224
Quality of Support
8.3
10
8.4
564
Has the product been a good partner in doing business?
Not enough data
8.7
217
Product Direction (% positive)
8.8
10
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
8.9
9
8.8
178
8.3
9
8.9
176
8.9
9
8.8
170
Integrations
9.4
9
8.4
139
8.9
9
8.6
136
Platform
8.7
9
8.9
153
8.3
9
8.9
168
8.9
9
8.6
136
Processing
8.7
9
9.3
170
8.1
9
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
Apache Spark for Azure HDInsight and Google Cloud BigQuery are categorized as Big Data Processing and Distribution
Unique Categories
Apache Spark for Azure HDInsight 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
Apache Spark for Azure HDInsight
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
Research
9.1%
Machinery
9.1%
Luxury Goods & Jewelry
9.1%
Information Technology and Services
9.1%
Higher Education
9.1%
Other
54.5%
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
Apache Spark for Azure HDInsight 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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