Soft Partitioning
Soft Partitioning routes incoming rows into time-based partition tables while maintaining a unified view that queries across all partitions.
High-volume ingestion often strains data warehouses - especially when append-heavy streams like events or transactions flood a single target table. Over time, that leads to slower merges, higher costs, and unpredictable performance. Artie's new Soft Partitioning feature changes that.
Soft Partitioning introduces logical, time-based partitioning at Artie's ingestion layer. Artie automatically routes incoming rows into partitioned tables (like user_events_2025_08, user_events_2025_09, …) while maintaining a unified view (user_events) that queries seamlessly across all partitions. This works independently of your destination's native partitioning - so you get consistent, predictable performance whether you're writing to Snowflake, Redshift, or Databricks.
Why this matters:
- Predictable write performance for high-throughput, append-only streams
- Reduced merge and update costs by limiting heavy work to recent time slices
- Full control over partition lifecycle - prune, compact, or roll up by time range
- Unified view across partitions for simple, cross-partition querying
- Consistent behavior across all destinations, without custom tuning