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GATHR CLOUD Start Free Trial |
GATHR UNLIMITED Experience Center |
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|---|---|---|
| Use Cases | ||
| Ingestion | ||
| Change Data Capture(CDC) | ||
| ETL pipelines and dataflows | ||
| Machine learning | ||
| Data sources | ||
| Databases | ||
| File systems | ||
| FTP | ||
| Salesforce | ||
| Data warehouses | ||
| Message queues | ||
| NoSQL | ||
| Index stores | ||
| Custom | ||
| Targets | ||
| Databases | ||
| 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 | 4000 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 | ||
