FlatStor: An Efficient Embedded-Index Based Columnar Data Layout for Multimodal Data Workloads
Summary: FlatStor: a FlatBuffers-based columnar layout with embedded indexes and modality-aware vertical partitioning that stores each modality as a byte stream to enable fast point access for multimodal, multi-purpose workloads. Uses FSST compression; reports ~99.6% latency and ~91.3% storage reduction vs Parquet and 41.3% lower latency vs LanceV2. (summarized by gpt-5-mini on Mar 13 2026)
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Authors
- 1. Chi Zhang
- 2. Shihao Zhang
- 3. Yunfei Gu
- 4. Chentao Wu
- 5. Jie Li
- 6. Qin Zhang
- 7. Xusheng Chen
- 8. Jie Meng
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