Compare Apache Parquet and Google Cloud BigQuery 
At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Enterprise (38.0% of reviews)
Entry-Level Pricing
No pricing available
Free
Apache Parquet
Star Rating
(27)4.3 out of 5
Market Segments
Mid-Market (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache ParquetGoogle Cloud BigQuery
Star Rating
(1,235)4.5 out of 5
Market Segments
Enterprise (38.0% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 5 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Google Cloud BigQuery excels in user satisfaction, boasting a high overall score that reflects its performance and reliability. Users appreciate its serverless architecture and the ability to focus on SQL without worrying about infrastructure, making data analysis feel smooth and efficient.
- Users say that Apache Parquet shines in its compression capabilities and cross-platform compatibility, which are particularly beneficial for integrating into existing data processing pipelines. Reviewers highlight its efficiency in handling analytical queries due to its columnar storage format.
- According to verified reviews, Google Cloud BigQuery's implementation process is notably quick and intuitive, with users praising its pay-as-you-go model that simplifies operations and allows for experimentation with larger datasets without the need for provisioning clusters.
- Reviewers mention that while Apache Parquet is effective for specific use cases, it may not provide the same level of comprehensive support and user experience as BigQuery. Users have noted challenges in finding extensive support resources compared to the robust assistance available for BigQuery.
- G2 reviewers highlight that Google Cloud BigQuery's ease of use is a significant advantage, with many users finding it fast and efficient for solving complex queries. This is contrasted with Apache Parquet, where some users have reported a steeper learning curve in utilizing its features effectively.
- Users report that while both products have strong data handling capabilities, Google Cloud BigQuery's advanced features, such as BigQuery ML and AI tooling integration, provide a more powerful and versatile platform for data analysis compared to Apache Parquet's more focused functionality.
Pricing
Entry-Level Pricing
Apache Parquet
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 Parquet
No trial information availableGoogle Cloud BigQuery
Free Trial is available
Ratings
Meets Requirements
8.5
21
8.8
634
Ease of Use
7.7
22
8.7
651
Ease of Setup
7.2
9
8.7
423
Ease of Admin
7.6
9
8.5
225
Quality of Support
8.1
19
8.3
576
Has the product been a good partner in doing business?
7.5
8
8.6
219
Product Direction (% positive)
8.6
25
9.3
619
Features by Category
Management
Not enough data
8.6
122
Not enough data
8.3
120
Functionality
Not enough data
9.0
121
Not enough data
9.1
124
Not enough data
9.0
125
Not enough data
8.9
124
Not enough data
9.3
123
Data Management
Not enough data
8.9
227
|
Verified
Not enough data
8.3
210
|
Verified
Not enough data
8.9
217
|
Verified
Not enough data
8.6
220
|
Verified
Not enough data
8.3
204
|
Verified
Not enough data
8.6
201
|
Verified
Integration
Not enough data
8.5
205
|
Verified
Not enough data
8.6
217
|
Verified
Not enough data
8.6
201
|
Verified
Deployment
Not enough data
7.8
187
|
Verified
Not enough data
9.1
226
|
Verified
Performance
Not enough data
9.2
238
|
Verified
Security
Not enough data
8.7
209
|
Verified
Not enough data
9.1
215
|
Verified
Generative AI
Not enough data
7.6
127
Not enough data
7.8
124
Storage
9.0
13
9.1
69
8.8
12
8.7
69
Availability
7.4
14
8.3
61
8.2
12
8.5
65
8.8
12
8.6
67
Performance
8.6
12
8.5
64
Security
9.0
12
8.7
69
7.9
12
8.8
68
7.9
12
8.4
68
8.6
12
8.6
64
Support
8.9
12
8.7
65
8.2
12
8.8
65
Centralized computation
Not enough data
9.0
26
Localized computation
Not enough data
8.5
27
Statistical Tool
Not enough data
8.7
78
Not enough data
9.0
78
Not enough data
8.8
80
Data Analysis
Not enough data
9.2
79
Not enough data
9.1
79
Decision Making
Not enough data
8.8
80
Not enough data
8.7
77
Not enough data
8.7
80
Not enough data
8.7
77
Generative AI
Not enough data
7.5
50
Not enough data
7.8
50
Marketing Operations
Not enough data
8.8
65
Not enough data
9.2
64
Not enough data
8.9
64
Not enough data
9.4
65
Not enough data
8.8
63
Not enough data
8.4
62
Campaign Activity
Not enough data
9.1
67
Not enough data
9.5
67
Not enough data
8.7
64
Not enough data
9.2
61
Not enough data
8.9
62
Not enough data
9.0
64
Agentic AI - Marketing Analytics
Not enough data
8.7
15
Not enough data
9.6
15
Not enough data
8.2
15
Database
Not enough data
8.8
175
Not enough data
8.9
173
Not enough data
8.8
168
Integrations
Not enough data
8.4
136
Not enough data
8.5
133
Platform
Not enough data
8.8
150
Not enough data
8.9
165
Not enough data
8.5
133
Processing
Not enough data
9.2
168
Not enough data
9.1
161
Data Transformation
Not enough data
8.8
284
Not enough data
9.3
293
Connectivity
Not enough data
8.1
251
Not enough data
8.2
249
Not enough data
8.7
278
Not enough data
8.7
270
Operations
Not enough data
8.5
279
Not enough data
8.7
277
Not enough data
8.3
255
Not enough data
8.4
262
Not enough data
8.5
254
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 Parquet and Google Cloud BigQuery are categorized as Columnar Databases
Unique Categories
Apache Parquet has no unique categories
Google Cloud BigQuery is categorized as Big Data Integration Platforms, ETL Tools, Big Data Processing and Distribution, Big Data Analytics, Marketing Analytics, Predictive Analytics, Data Warehouse, and Data Clean Room
Reviews
Reviewers' Company Size
Apache Parquet
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
38.5%
Information Technology and Services
19.2%
Financial Services
7.7%
Education Management
7.7%
Hospital & Health Care
3.8%
Other
23.1%
Information Technology and Services
15.9%
Computer Software
13.6%
Retail
7.0%
Financial Services
6.6%
Marketing and Advertising
5.2%
Other
51.7%
Alternatives
Discussions
Apache Parquet has no discussions with answers
Is Big Query free?
3 Comments
SC
my cloud software store Read more
Is BigQuery part of Google Cloud Platform?
2 Comments
SG
Yes, bigquery is part of google cloud platform.Read more
What is Google BigQuery based on?
1 Comment
AN
Dremel: The Execution Engine
Colossus: Distributed Storage
Borg: Compute
Jupiter: The Network
Read more
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