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|---|---|---|---|
| Use Cases | |||
| Ingestion | Limited Sources | ||
| Change Data Capture(CDC) | |||
| ETL pipelines and dataflows | |||
| Machine learning | |||
| Data sources | |||
| Databases | Limited | ||
| File systems | |||
| FTP | |||
| Salesforce | |||
| Data warehouses | |||
| Message queues | |||
| NoSQL | |||
| Index stores | |||
| Custom | |||
| Targets | |||
| Databases | Limited | ||
| File systems | |||
| Salesforce | |||
| Data warehouses | |||
| Message queues | |||
| NoSQL | |||
| Index stores | |||
| Custom | |||
| File formats | |||
| Text and CSV | |||
| AVRO | |||
| Parquet | |||
| XML | |||
| ORC | |||
| Job types | |||
| Small | |||
| Medium | |||
| Large | |||
| Billing | |||
| Credit points | 1000 credit points | 1000 credit points + additional purchases | Unlimited |
| Collaboration | |||
| Multiple teams | |||
| Multiple personas | |||
| Multiple projects | |||
| Integration with GIT | |||
| CI/CD | |||
| Data pipelines | |||
| Multiple sources and targets | |||
| Versioning | |||
| Auto-scaling | |||
| Cloning | |||
| Resource allocation | |||
| Plugin registration (operators) | |||
| Data transformations | |||
| String functions | |||
| Number functions | |||
| Date | |||
| Data quality | |||
| Aggregation | |||
| Data enrichment | Limited | ||
| Data blending | |||
| Lookups | |||
| Joins | |||
| Windows | |||
| Pipeline operations | |||
| Job history | |||
| Job status | |||
| Scheduling | |||
| Error logs | |||
| Pipeline orchestration | |||
| Coordinate multiple pipelines | |||
| Design and monitor execution | |||
| Trigger conditions on pipelines | |||
| Success and failure flows | |||
| Built-in operators: File Sensors, database updates, bash commands, email alerts | |||
| Test workflows | |||
| Schedule workflows | |||
| Holiday calendar support | |||
| Templates | |||
| DataSets | |||
| Dataset management | |||
| Versioning | |||
| Schema rules | |||
| Profile analysis | |||
| Lineage | |||
| Data validation | |||
| Data validation jobs | |||
| Data Science | |||
| Data preparation | |||
| Data pre-processing | |||
| Model training | |||
| Model testing | |||
| Hyperparameter tuning | |||
| Scheduled retraining | |||
| Scoring | |||
| Model management | |||
| Drift detection | |||
| Model and data snapshots | |||
| Multiple technologies: Python, H2O, Spark | |||
| Notebooks | |||
| Auditing | |||
| Capture activities in the platform | |||
| Event searches | |||
| Configurable retention of events | |||
| Administration | |||
| User management | |||
| Configurable roles and groups | |||
| Cluster configurations | |||
| White labelling | |||
| Security | |||
| LDAP | |||
| Kerberos | |||
| Quality | |||
| Test cases | |||
| Test suites | |||
| Deployment | |||
| On-premise | |||
| Private and public cloud | |||
