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Compare Apache Calcite and Spark SQL 
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At a Glance
Market Segments
Mid-Market (45.5% of reviews)
Enterprise (53.3% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Apache Calcite
Star Rating
(11)4.4 out of 5
Market Segments
Mid-Market (45.5% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Apache CalciteSpark 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 Apache Calcite excels in its data schema management, with a score of 8.7, indicating a robust capability to handle complex data structures, while Spark SQL matches this score but lacks the same level of user satisfaction in other areas.
- Reviewers mention that Apache Calcite's query optimizer is highly effective, scoring 9.0, which helps in improving query performance significantly compared to Spark SQL's score of 8.6, where users feel it could be more efficient.
- G2 users highlight that Apache Calcite offers superior data concurrency management with a score of 9.7, allowing for better handling of simultaneous queries, whereas Spark SQL's score of 8.5 suggests it may struggle under heavy loads.
- Users on G2 appreciate Apache Calcite's strong security features, particularly in database locking and authentication, both scoring 9.3, which instills confidence in data protection, while Spark SQL's scores in these areas are lower, indicating potential vulnerabilities.
- Reviewers say that Apache Calcite's data manipulation capabilities, scoring 8.6, are more intuitive and user-friendly compared to Spark SQL's score of 8.5, which some users find less straightforward.
- Users report that while both products have similar scalability scores of 8.9, Apache Calcite is often praised for its flexibility in adapting to various data sources, which is a critical factor for many mid-market users.
Pricing
Entry-Level Pricing
Apache Calcite
No pricing availableSpark SQL
No pricing availableFree Trial
Apache Calcite
No trial information availableSpark SQL
No trial information availableRatings
Meets Requirements
9.2
8
8.8
32
Ease of Use
8.8
8
9.0
35
Ease of Setup
9.0
5
8.7
14
Ease of Admin
8.3
5
8.2
13
Quality of Support
7.9
8
8.4
32
Has the product been a good partner in doing business?
8.3
5
8.6
14
Product Direction (% positive)
10.0
6
10.0
29
Features by Category
Management
8.7
5
8.7
26
8.7
5
8.5
26
9.0
5
8.3
23
9.0
5
8.3
26
Support
8.0
5
8.0
23
9.0
5
8.1
27
9.0
5
8.2
26
9.0
5
8.8
24
Security
9.3
5
8.7
24
8.7
5
8.3
23
8.7
5
8.4
22
9.3
5
8.5
24
Performance
8.7
5
8.7
25
9.7
5
8.5
25
Not enough data
8.6
25
8.0
5
7.9
23
9.0
5
8.6
25
Database Features
9.2
6
8.3
26
8.9
6
8.7
26
9.2
6
8.7
27
8.9
6
8.9
27
9.4
6
8.5
27
8.6
6
8.5
26
8.6
6
8.3
27
Categories
Categories
Shared Categories
Apache Calcite and Spark SQL are categorized as Relational Databases
Unique Categories
Apache Calcite has no unique categories
Spark SQL has no unique categories
Reviews
Reviewers' Company Size
Apache Calcite
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
Computer Software
27.3%
Banking
18.2%
Retail
9.1%
Program Development
9.1%
Information Technology and Services
9.1%
Other
27.3%
Information Technology and Services
31.1%
Computer Software
13.3%
Retail
6.7%
Financial Services
6.7%
Telecommunications
4.4%
Other
37.8%
Discussions
Apache Calcite has no discussions with answers
What type of SQL does Spark use?
2 Comments
PS
Spark SqlRead 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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