← Sunday, October 18, 2026DatabasesPaper
CLP searches compressed logs while scaling to petabytes
CLP combines lossless, domain-specific compression with search on compressed text, reporting over 13× faster ingestion than Elasticsearch and Splunk and petabyte-scale operation. The approach offers a substantial storage and observability trade-off for large log archives.
- What
- CLP losslessly compresses unstructured text logs while allowing searches directly on the compressed data.
- Method
- Its domain-specific algorithm exploits repetition in logs; the paper reports search comparable to or faster than Elasticsearch and Splunk.
- Why it matters
- Combining archival compression with fast search and over 13x faster ingestion can reduce costs in large-scale log systems.
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