Let's Review
| Data Orchestration | DAOD | ETL/ELT Processes |
|---|---|---|
| On Demand Data Pipelines | X | |
| Customizable Schema | X | X |
| Federated Searches | X | |
| Automated Federated Queries | X | |
| Easy to build Data Connectors | X | |
| Software Development Kit | X | |
| On-Prem/Private Cloud Installation | X | X |
| Dedicated API for expanding data queries | X | |
| Multi-Tenant Hosting | X | |
| Centralized Alerts from pipelines and external sensors and data | X | |
| Transparent logging and monitoring of usage | X | |
| Fractional Storage requirements | X |
| Data Harmonization and Added Data Value | ||
|---|---|---|
| Automated data transformation | X | X |
| Integrate AI tools and technologies | X | X |
| Automated De-duplication of data | X | Limited |
| Automated Scheduled Queries | X | X |
| Data Management Process application | X | X |
| Turn Data Pipelines On or Off with One Click | X |
| Security and Governance | ||
|---|---|---|
| Controlled Role Based Access to Data and Pipelines | X | |
| Segregated Processing Database | X | |
| No 3rd Party Access to platform | X | X |
| Compliance Readiness for SOC 1, 2, GDPR, HIPAA, DoD CMMC and FedRamp | X | X |
| Encrypted Data Flows | X | X |