| Min. OS Requirement | Windows XP |
| Language | 6 languages (EN, FR, JP, ES, CN, KR) |
| Add-In | Requires Excel |
| Available for Mac | No, requires Parallels Emulation |
| Price includes 1st year maintenance | Yes |
| Requires other Software? | Requires Microsoft Excel to run |
| Scripting Support | Built In |
| Simulation | Monte Carlo |
| VBA Support | Built In |
| CSV Support | Yes |
| XML Support | Yes |
| Distribution Fitting | Built In |
| User Defined Distributions | Yes |
| Distribution Gallery | 48 base distributions (38 Continuous + 10 Discrete) with 20 that can have alternate parameters |
| Monte Carlo Sampling | Yes |
| Latin HyperCube Sampling | Yes |
| Process Capability (6 Sigma) | Yes |
| Sensitivity Analysis | Yes |
| Tornado Analysis | Yes |
| Precision Control | Yes |
| Probability calculations functions | Yes |
| Correlation | Yes |
| Correlation Methods | Normal + Non-Normal Copulas |
| SIP Math Support | No |
| Decision Trees | Comes bundled with PrecisionTree |
| Stats Tools | Comes bundled with Palisade StatsTools |
| MS Project Support | Yes |
| Charting | Built In |
| Charts can be customized | Yes |
| Automated Reporting | Yes |
| Multi-Core Support | Yes |
| Developper Kit | Yes |
| Example Models | Yes |
| Network Licensing Available | No |
| Data Base Integration | 30+ Data Sources with CDATA Connectors |
| Integration with other tools | Includes Palisade @RISK, PrecisionTree, TopRank, NeuralTools, StatsTools, BigPicture, Evolver and RiskOptimizer |
| Supported DBs | Standard ODBC sources from Excel + 3rd party connectors |
| User Defined Distribution Library | Distributions can be generated and saved to an SQL or SQL Express DB and can be made available to other @RISK users who have access to the repository |
| Linear Optimization Methods | Yes |
| Non-Linear Optimization Methods | Yes |
| Requirements / Soft Constraints | Requires Evolver |
| Max Requirements | Unlimited |
| Max Decision Variables | Unlimited |
| PSI support | no |
| Solution Filtering | yes |
| Efficient Frontier | yes |
| Scenario Analysis Support | Must be setup as separate submodels using functions. Functions exist to support multiple scenarios and to track results separately |
| Convergence Testing | yes |
| Genetic Algorithims | yes |
| Ranges for Decision Variables | yes |
| Main Solver Engine | RiskOptimizer |
| Optimize multiple statistics | Optimization can be done on 11 different statisics (Mean, Variance, Standard Deviation, Skewness, Kurtosis, Percentile, Min/Max, Mode and Range) |
| Optimization Goal Types | Minimize, Maximize & Set Target |
| Static Optimization Support | yes |
| Dynamic Optimization Support | no |
| Stochastic Optimization Support | yes |
| Time Series as distributions | Yes |
| Time Series Fitting | Yes |
| Time Series Methods | 11 Methods (AutoRegression, GBM, Moving Average) |
| Multiple Linear Regression | Provided using Palisade StatTools |
| Seasonal Methods | Seasonal ARMA & GBM |
| Non-Seasonal Methods | AR(1&2), MA(1&2) |
| GBM Support | Univariate, Multivariate and Seasonal |
| Cubic Spline | No |
| Heteroscedastic Models | ARCH, GARCH11, EGARCH11 and APARCH11 |
| ARIMA Support | Partial Support for ARMA |
| AutoARIMA | No |
| Data Sensoring | Automatic |
| Time-Series Event Support | No |
| Define Time Series | All available methods can be configured manually using parameters |
| Markov Chains | No |
| Automatic Data Transform | Yes |
| Manual Data Transform Methods | Yes |
| Manual Deseasonalization | Yes |
| Manual Detrending | Yes |
| Visualize Simulated Output | Yes |
| Exception Reporting | Yes |
| Time Series Scenario Analysis | No |
| Error Measures | No |
| Time Series Fit Criteria | Akaike and Baysean Information Criteria |
