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Compare PostgreSQL and Spark SQL 
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At a Glance
Market Segments
Small-Business (35.9% of reviews)
Enterprise (53.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
PostgreSQL
Star Rating
(663)4.4 out of 5
Market Segments
Small-Business (35.9% of reviews)
Entry-Level Pricing
No pricing available
Learn more about PostgreSQLSpark SQL
Star Rating
(45)4.5 out of 5
Market Segments
Enterprise (53.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Spark SQLSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that PostgreSQL excels in data schema management with a score of 9.2, which reviewers mention allows for complex data structures and relationships, making it a preferred choice for applications requiring robust data integrity.
- Reviewers mention that Spark SQL shines in scalability, achieving a score of 8.9, which users say is particularly beneficial for handling large datasets and performing distributed data processing efficiently.
- G2 users highlight PostgreSQL's strong ACID compliance with a score of 9.0, stating that this feature ensures reliable transactions and data consistency, which is crucial for applications that require high data integrity.
- Users on G2 report that Spark SQL's ease of use is a significant advantage, with a score of 9.0, as reviewers mention its intuitive interface and ability to integrate seamlessly with big data frameworks, making it accessible for data engineers and analysts alike.
- Reviewers say that PostgreSQL's advanced indexing capabilities, scoring 8.8, allow for faster query performance, which users report is essential for applications with complex queries and large datasets.
- Users say that Spark SQL's performance in workload management, with a score of 8.6, is impressive, as reviewers mention its ability to efficiently manage and optimize resource allocation during data processing tasks.
Pricing
Entry-Level Pricing
PostgreSQL
No pricing availableSpark SQL
No pricing availableFree Trial
PostgreSQL
No trial information availableSpark SQL
No trial information availableRatings
Meets Requirements
9.1
543
8.8
32
Ease of Use
8.5
548
9.0
35
Ease of Setup
8.4
277
8.7
14
Ease of Admin
8.2
249
8.2
13
Quality of Support
7.9
439
8.4
32
Has the product been a good partner in doing business?
8.4
198
8.6
14
Product Direction (% positive)
8.5
530
10.0
29
Features by Category
Management
9.1
121
8.7
26
9.1
119
8.5
26
9.1
107
8.3
23
8.9
110
8.3
26
Support
8.6
113
8.0
23
9.2
123
8.1
27
9.1
110
8.2
26
9.1
112
8.8
24
Security
8.7
114
8.7
24
8.9
116
8.3
23
8.6
108
8.4
22
8.9
110
8.5
24
Performance
8.6
106
8.7
25
8.8
112
8.5
25
8.6
106
8.6
25
8.8
111
7.9
23
8.6
109
8.6
25
Database Features
9.0
460
8.3
26
9.0
465
8.7
26
9.0
468
8.7
27
8.6
450
8.9
27
8.7
439
8.5
27
8.8
453
8.5
26
9.0
460
8.3
27
Categories
Categories
Shared Categories
PostgreSQL and Spark SQL are categorized as Relational Databases
Unique Categories
PostgreSQL has no unique categories
Spark SQL has no unique categories
Reviews
Reviewers' Company Size
PostgreSQL
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Spark SQL
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
27.3%
Computer Software
23.1%
Internet
4.3%
Financial Services
4.1%
Telecommunications
2.9%
Other
38.3%
Information Technology and Services
31.1%
Computer Software
13.3%
Retail
6.7%
Financial Services
6.7%
Telecommunications
4.4%
Other
37.8%
Alternatives
Discussions
What are the advantages and disadvantages of PostgreSQL?
2 Comments
AG
Open Source: PostgreSQL is free and open-source software, meaning anyone can download, use, and modify it as needed without licensing costs.
SQL...Read more
Can we get some video tutorials on usage? Also how do we connect them over cloud ?
1 Comment
NH
Hey Jay,
We use Postgresql on all of our cloud servers. We connect via SSL connections to the specific...Read more
What is the difference between SQL and Spark SQL?
1 Comment
NK
Well it's very simple spark sql is used for big data processing, it makes querying the loads of data simple and faster.
Whereas sql isn't suitable for...Read more
What is the functionality of Spark SQL?
1 Comment
NK
Spark sql works with any kind of relational databases that works with sql like Mysql, oracle, mariadb, postgresqlRead more
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