Strengths
- Integrates directly with existing data sources, eliminating the need for custom pipelines or ETL.
- Automates AI workflows with scheduled jobs for predictions and data processing.
- Uses SQL for AI tasks, allowing developers to leverage existing skills.
- Scales for large workloads in cloud, on-premises, or air-gapped environments.
- Provides transparency in query planning and data retrieval for IT oversight.
Limitations
- No specific limitations or cons have been detailed in available data.