Each optimizer is built to handle a specific maintenance or optimization task, in areas such as data layout, storage utilization and data resilience. To start working with optimizers, you can define an Optimization Policy on a table or set of tables. Ryft will start automatically running optimization jobs based on the policy conditions.
Intelligent Self-Tuning Optimizations
Ryft’s optimizers continuously adapt to real-time workload patterns, ensuring that table structure and performance remain optimal as data evolves, without manual work. By dynamically adjusting compaction operations and metadata maintenance based on usage patterns, Ryft minimizes performance bottlenecks and maximizes query efficiency.Customization & Visibility
Ryft’s optimizers are fully customizable, so teams that require fine-tuned adjustments can configure optimization parameters to match specific workload needs. Additionally, Ryft provides detailed visibility into optimization activities, allowing users to monitor the impact of optimizations on query performance and resource utilization.