Feature List
Community vs Enterprise edition
Here are the highlights of the open-source getML Community edition and full-featured getML Enterprise edition:
Community edition | Enterprise edition* | |
---|---|---|
License | Elastic Licence v2 | Proprietary |
Platform | Linux & Docker | macOS |
Preprocessors | EmailDomain, Imputation, Seasonal, Substring, TextFieldSplitter | Mapping |
Feature learners | FastProp | Multirel, Relboost, RelMT, Fastboost |
Predictors | LinearRegression, LogisticRegression, XGBoostClassifier, XGBoostRegressor | ScaleGBMClassifier, ScaleGBMRegressor |
Productionization | Transpilation to human-readable SQL | Transpilation to MySQL, PostgreSQL, SQLite, Spark SQL, SAP HANA, BigQuery, TSQL. Built-in HTTP Endpoints. |
Hyperparameter optimization | Not supported | RandomSearch, LatinHypercube, GaussianOptimization, Customized tuning routines |
Database connectors | SQLite, MySQL, MariaDB, PostgreSQL | Greenplum, ODBC, SAP HANA, BigQuery |
Other data sources | CSV, Parquet, Pandas, Arrow, Pyspark, JSON | S3 |
Other functionalities | Memory mapping | Web Frontend |
*The Enterprise edition contains all features of the Community edition plus the features listed in the column.