Good point — just to clarify, the "279x" number isn’t about parallel deletes. The parallel test runs a mix of operations (insert, query, update, delete) across multiple threads. Each thread works on its own document range to simulate a real-world concurrent workload (like telemetry ingestion).
SQLite (even in WAL mode) hits write lock contention under concurrency, while AnuDB (using RocksDB) handles concurrent writes better due to its design.
Also, AnuDB supports indexing via an API using RocksDB's prefix extractor, so it’s not just a key-value store — basic filtering is supported.
Appreciate the feedback — will revise the post to make this clearer!
SQLite (even in WAL mode) hits write lock contention under concurrency, while AnuDB (using RocksDB) handles concurrent writes better due to its design.
Also, AnuDB supports indexing via an API using RocksDB's prefix extractor, so it’s not just a key-value store — basic filtering is supported.
Appreciate the feedback — will revise the post to make this clearer!