You need Clayton if
- Enforcing naming conventions and code style
- Running Apex security scanning in CI
- Tracking test coverage percentages
- Keeping the codebase clean with static rules
Jataka vs Clayton.
Clayton reads text. Jataka executes transactions. Static analysis can't predict runtime behavior without your data volumes and trigger interactions.
Feature comparison.
Feature
Jataka
Clayton
Analysis Method
Runtime execution profiling
Static text scanning
SOQL 101 Detection
Catches actual limit breach
Flags SOQL in loops (maybe)
DML 151 Detection
Catches actual limit breach
Flags DML in loops (maybe)
CPU Timeout Detection
Measures actual CPU time
No CPU profiling
Data Skew Detection
Analyzes parent-child ratios
No data model analysis
Mixed DML Detection
Detects Setup/non-Setup conflict
No transaction analysis
Production Data Volumes
Tests with realistic data
No execution context
Trigger Collision Detection
Simulates multiple triggers
No runtime simulation
Code Style Rules
No (use Clayton/PMD)
Extensive rule library
Security Scanning
No (use Clayton)
Apex security analysis
Naming Conventions
No
Yes
When to use each.
You need Jataka if
- Catching actual SOQL/DML limit breaches before merge
- Measuring CPU time against real data volumes
- Detecting data skew and mixed DML at runtime
- Simulating trigger collisions in production-like sandboxes
Clayton reads text. Jataka executes.
Book a demo to see Jataka catch the runtime errors that static analysis can't predict.