SQL vs R: 30 Metrics Comparison

SQL vs R

SQL

SQL is a Declarative, Set-Oriented programming language first appeared in 1974, designed by Donald Chamberlin. Main use cases: Database Queries, Stored Procedures, Data Manipulation.

R

R is a Multi-paradigm programming language first appeared in 1993, designed by Ross Ihaka, Robert Gentleman. Main use cases: Data Science, Scientific Computing, Statistics.

30 Metrics

MetricSQLR
GitHub Stars6001458302
Stack Overflow Tags720313729989
TIOBE Rank3936
RedMonk Rank2620
PYPL Rank3924
Average Salary (USD)114083122736
Job Postings3961138329
Benchmarks Score0.991.0
Learning CurveHardHard
Community SizeVery LargeVery Large
Documentation Quality98
Ecosystem Maturity1010
Industry Adoption98
Type System Complexity99
Concurrency Support98
Performance - Execution Speed98
Performance - Memory Usage99
Performance - Startup Time108
Tooling Quality108
Package Manager Quality89
IDE Support108
Debugging Experience109
GitHub Stars Rank1820
Stack Overflow Tags Rank2625
Average Salary Rank3023
Job Postings Rank1922
Benchmarks Rank74
Learning Curve Score22
Community Size Score99
AHP Score8.137.66

AHP Score

  • SQL: 8.13 (#14)
  • R: 7.66 (#23)
SQL             | ######## 8.13
R               | ######## 7.66

When to choose SQL

Database Queries, Stored Procedures, Data Manipulation. SQL is a Declarative, Set-Oriented programming language first appeared in 1974, designed by Donald Chamberlin. Main use cases: Database Queries, Stored Procedures, Data Manipulation.

When to choose R

Data Science, Scientific Computing, Statistics, Visualization. R is a Multi-paradigm programming language first appeared in 1993, designed by Ross Ihaka, Robert Gentleman. Main use cases: Data Science, Scientific Computing, Statistics.

Hello World Example

SQL:

SELECT 'Hello, World!';

R:

print('Hello, World!')

其他语言