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GitHub Repository
The First Real-Time Search Analytics Database
531 starsC++
Zero-ETL elastic-grade search over remote data (Parquet, Iceberg, JSON)
by gnusi·May 15, 2026·4 points·0 comments
AI Analysis
●●●BangerBig BrainBold Bet
BM25 search directly on S3 Parquet files without ingesting data into Elasticsearch.
Strengths
- •Zero-ETL architecture queries remote object storage directly, skipping expensive ingestion pipelines.
- •Unified engine handles both full-text search and heavy analytical aggregations in one SQL dialect.
- •Custom IResearch C++ core claims benchmark wins over Lucene for specific query patterns.
Weaknesses
- •Competing against entrenched giants like Elasticsearch and ClickHouse requires massive adoption trust.
- •Performance claims rely on specific benchmarks; real-world mixed-workload latency remains unproven.
Category
Target Audience
Data engineers and backend developers building search analytics
Similar To
Elasticsearch · ClickHouse · DuckDB
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