Compare Apache Parquet and Snowflake 
Featured Products
At a Glance
Market Segments
Mid-Market (50.0% of reviews)
Enterprise (44.5% of reviews)
Entry-Level Pricing
No pricing available
$2 Compute/Hour
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 ParquetSnowflake
Star Rating
(694)4.6 out of 5
Market Segments
Enterprise (44.5% of reviews)
Pros & Cons
Entry-Level Pricing
$2 Compute/Hour
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Snowflake excels in user satisfaction, with many praising its ability to make advanced data warehousing simple, fast, and scalable without the need for heavy infrastructure work. This is a significant advantage for teams looking to streamline their data processes.
- Users say that Snowflake's intuitive interface and framework make it easy to implement SQL queries, with one reviewer highlighting the great layout that enhances usability. In contrast, Apache Parquet, while efficient in data storage, may not offer the same level of user-friendly experience.
- According to verified reviews, Snowflake's implementation process is notably quick, with users appreciating the intuitive onboarding wizard. This contrasts with Apache Parquet, which, although praised for its compression and predictive push down features, may require more technical expertise to integrate effectively.
- Reviewers mention that Snowflake's support quality is a strong point, with a score reflecting its responsiveness and helpfulness. Users have noted that the platform has been a good partner in doing business, while Apache Parquet's support, although decent, does not match the same level of satisfaction.
- Users highlight Snowflake's robust architecture for cloud data, which is described as result-oriented. In comparison, while Apache Parquet is recognized for its cross-platform compatibility and efficiency in analytical queries, it may not provide the same comprehensive features for cloud-based data management.
- G2 reviewers report that Snowflake's overall performance and satisfaction metrics are significantly higher, making it a more reliable choice for enterprises. In contrast, Apache Parquet, while effective for mid-market users, has a smaller user base and fewer recent reviews, which may impact the reliability of its feedback.
Pricing
Entry-Level Pricing
Apache Parquet
No pricing availableSnowflake
Standard
$2
Compute/Hour
Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options.
- Complete SQL Data Warehouse
- Secure Data Sharing across regions / clouds
- Premier Support 24 x 365
Free Trial
Apache Parquet
No trial information availableSnowflake
Free Trial is available
Ratings
Meets Requirements
8.5
21
9.1
526
Ease of Use
7.7
22
9.0
562
Ease of Setup
7.2
9
8.9
347
Ease of Admin
7.6
9
8.7
213
Quality of Support
8.1
19
8.7
482
Has the product been a good partner in doing business?
7.5
8
9.0
215
Product Direction (% positive)
8.6
25
9.2
496
Features by Category
Deployment
Not enough data
9.2
12
Not enough data
8.9
12
Not enough data
9.0
12
Not enough data
9.3
12
Not enough data
9.3
12
Deployment
Not enough data
9.3
10
Not enough data
9.5
10
Not enough data
9.5
10
Not enough data
9.5
10
Not enough data
9.3
10
Management
Not enough data
9.2
12
Not enough data
9.0
12
Not enough data
9.2
12
Not enough data
9.0
12
Operations
Not enough data
8.8
10
Not enough data
8.8
10
Not enough data
9.5
10
Management
Not enough data
9.2
10
Not enough data
9.3
9
Not enough data
9.0
10
Generative AI
Not enough data
8.7
10
Not enough data
8.3
10
System
Not enough data
9.2
28
Model Development
Not enough data
9.1
30
Not enough data
8.5
28
Not enough data
8.2
28
Not enough data
8.7
29
Model Development
Not enough data
8.7
27
Machine/Deep Learning Services
Not enough data
8.5
28
Not enough data
8.5
28
Not enough data
8.3
28
Not enough data
8.3
27
Machine/Deep Learning Services
Not enough data
8.5
27
Not enough data
8.5
24
Deployment
Not enough data
9.1
30
Not enough data
9.0
27
Not enough data
9.2
29
Generative AI
Not enough data
8.5
26
Not enough data
8.3
25
Not enough data
8.5
25
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.2
13
Not enough data
8.2
13
Not enough data
8.3
13
Not enough data
8.5
13
Not enough data
8.2
13
Not enough data
8.3
14
Not enough data
8.2
13
Data Management
Not enough data
9.0
191
|
Verified
Not enough data
8.9
173
|
Verified
Not enough data
9.0
180
|
Verified
Not enough data
8.3
176
|
Verified
Not enough data
8.2
155
|
Verified
Not enough data
8.7
158
|
Verified
Integration
Not enough data
8.3
147
|
Verified
Not enough data
8.9
180
|
Verified
Not enough data
8.9
163
|
Verified
Deployment
Not enough data
7.7
142
|
Verified
Not enough data
9.3
188
|
Verified
Performance
Not enough data
9.3
192
|
Verified
Security
Not enough data
8.9
175
|
Verified
Not enough data
9.1
183
|
Verified
Generative AI
Not enough data
7.9
81
Not enough data
8.1
81
Management
Not enough data
8.9
84
Not enough data
9.1
84
Not enough data
9.4
91
Not enough data
9.0
88
Not enough data
9.1
89
Maintenance
Not enough data
9.3
87
Not enough data
9.0
85
Not enough data
9.3
89
Security
Not enough data
9.2
86
Not enough data
9.3
89
Storage
9.0
13
9.2
44
8.8
12
9.2
44
Availability
7.4
14
9.1
39
8.2
12
9.2
37
8.8
12
9.2
41
Performance
8.6
12
9.2
44
Security
9.0
12
9.1
44
7.9
12
9.2
45
7.9
12
8.9
38
8.6
12
9.2
38
Support
8.9
12
9.2
36
8.2
12
9.1
35
Centralized computation
Not enough data
9.3
25
Localized computation
Not enough data
9.0
24
Database
Not enough data
8.9
98
Not enough data
9.3
101
Not enough data
9.3
95
Integrations
Not enough data
8.6
76
Not enough data
8.7
81
Platform
Not enough data
9.1
92
Not enough data
9.0
97
Not enough data
8.7
81
Processing
Not enough data
9.3
97
Not enough data
9.1
95
Data Transformation
Not enough data
9.2
87
Not enough data
9.4
88
Connectivity
Not enough data
8.5
78
Not enough data
8.7
79
Not enough data
9.1
81
Not enough data
9.1
81
Operations
Not enough data
8.6
84
Not enough data
9.2
79
Not enough data
8.9
76
Not enough data
8.8
80
Not enough data
8.7
78
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 Snowflake are categorized as Columnar Databases
Unique Categories
Apache Parquet has no unique categories
Reviews
Reviewers' Company Size
Apache Parquet
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Snowflake
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
15.0%
Computer Software
13.3%
Financial Services
10.2%
Marketing and Advertising
4.7%
Hospital & Health Care
3.6%
Other
53.1%
Alternatives
Discussions
Apache Parquet has no discussions with answers
What's the best way to manage change data capture in Snowflake?
4 Comments
VT
Please go through this link: https://docs.snowflake.com/en/user-guide/streams
You might get a pertinent response from it.
Please click on this link...Read more
which is best snowflake or My sql
2 Comments
LH
Depends on your needs. MySQL is open source/free. It or Postgres (another open source db) is good for pretty much any normal need. You can install on...Read more
Snowflake - how to connect to Snowflake using NodeJS
2 Comments
DW
Does this help? https://www.ameexusa.com/blogs/connecting-node-js-snowflakeRead more
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