Thriving 
PY IgnisDB is a key-value database built from scratch in Python. v2 introduces a Log-Structured Merge Tree (LSM-Tree) storage engine that keeps RAM usage fixed at 64–128 MB regardless of dataset size, while providing unlimited disk-backed storage.
// readme
High-performance key-value database with LSM-Tree storage engine, tiered caching, and unlimited storage capacity — all in pure Python.
IgnisDB is a key-value database built from scratch in Python. v2 introduces a Log-Structured Merge Tree (LSM-Tree) storage engine that keeps RAM usage fixed at 64–128 MB regardless of dataset size, while providing unlimited disk-backed storage.
It supports two modes:
Benchmarked on Linux x86_64, 100K keys × 100 bytes each:
| Metric | Result |
|---|---|
| Write throughput | 20,037 ops/sec |
| Read throughput (hot cache) | 857,382 ops/sec |
| Read throughput (sequential) | 963,234 ops/sec |
| ZADD (sorted set) | 1,427,362 ops/sec |
| ZRANGEBYSCORE | 6,902 ops/sec |
| Full-text indexing | 196,289 docs/sec |
| Full-text search | 15,031 searches/sec |
| RAM usage (100K keys) | 90.5 MB |
| Cache hit rate | 100% |
|…