Lift-and-Shift of High Write-Throughput Apps with YugabyteDB

YugabyteDB's index design enables globally ordered reads while maintaining high write throughput by avoiding hot tablets and preserving ordered index scans. The 2025.2.1 version introduces planner optimizations that achieve global ordering without altering queries, even with additional index structure ranges. Different index types, such as HASH and RANGE, support various query patterns, allowing for efficient range scans and ORDER BY queries, while addressing the challenges of monotonic inserts that create write hotspots. YugabyteDB offers solutions like bucket-based indexing to distribute writes evenly and maintain scalability. The system can handle high-throughput applications by applying simple index changes, thus eliminating hotspots and allowing for horizontal scaling and low-latency reads without altering applications. The blog highlights practical guidance for implementing these strategies in distributed SQL systems, emphasizing their importance in scenarios involving timestamp-ordered inserts and high-write-throughput use cases.