| 35 |
MonetDB/X100: Hyper-Pipelining Query Execution |
2005 |
CIDR |
0.00076209479 |
| 80 |
Weaving Relations for Cache Performance |
2001 |
VLDB |
0.00055735291 |
| 123 |
A Decomposition Storage Model |
1985 |
SIGMOD |
0.00045235743 |
| 132 |
Integrating Compression and Execution in Column-Oriented Database Systems |
2006 |
SIGMOD |
0.00043697853 |
| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
SIGMOD |
0.00039408116 |
| 185 |
DuckDB: an Embeddable Analytical Database |
2019 |
SIGMOD |
0.00036529607 |
| 211 |
Gorilla: A Fast, Scalable, In-Memory Time Series Database |
2015 |
VLDB |
0.0003401421 |
| 307 |
SIMD-Scan: Ultra Fast in-Memory Table Scan using on-Chip Vector Processing Units |
2009 |
VLDB |
0.00028226342 |
| 367 |
Small Materialized Aggregates: A Light Weight Index Structure for Data Warehousing |
1998 |
VLDB |
0.00025518228 |
| 1,134 |
Dictionary-based Order-preserving String Compression for Main Memory Column Stores |
2009 |
SIGMOD |
0.00013751593 |
| 1,260 |
Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation |
2016 |
SIGMOD |
0.00012990853 |
| 1,267 |
BitWeaving: Fast Scans for Main Memory Data Processing |
2013 |
SIGMOD |
0.00012917585 |
| 1,356 |
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics |
2021 |
CIDR |
0.00012409986 |
| 1,939 |
Procella: Unifying serving and analytical data at YouTube |
2019 |
VLDB |
0.00010019433 |
| 2,070 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6331032e-05 |
| 2,137 |
How to Wring a Table Dry: Entropy Compression of Relations and Querying of Compressed Relations |
2006 |
VLDB |
9.463768e-05 |
| 2,390 |
ByteSlice: Pushing the Envelop of Main Memory Data Processing with a New Storage Layout |
2015 |
SIGMOD |
8.9006978e-05 |
| 2,533 |
Velox: Meta’s Unified Execution Engine |
2022 |
VLDB |
8.5870599e-05 |
| 2,890 |
Database Compression on Graphics Processors |
2010 |
VLDB |
7.9586083e-05 |
| 3,419 |
LeCo: Lightweight Compression via Learning Serial Correlations |
2024 |
SIGMOD |
7.1127752e-05 |
| 3,642 |
BtrBlocks: Efficient Columnar Compression for Data Lakes |
2023 |
SIGMOD |
6.8876984e-05 |
| 3,757 |
White-box Compression: Learning and Exploiting Compact Table Representations |
2020 |
CIDR |
6.7804933e-05 |
| 4,389 |
Elf: Erasing-based Lossless Floating-Point Compression |
2023 |
VLDB |
6.2197225e-05 |
| 4,509 |
ALP: Adaptive Lossless floating-Point Compression |
2023 |
SIGMOD |
6.1251244e-05 |
| 4,516 |
An Empirical Evaluation of Columnar Storage Formats |
2024 |
VLDB |
6.1146215e-05 |
| 4,520 |
The FastLanes Compression Layout: Decoding >100 Billion Integers per Second with Scalar Code |
2023 |
VLDB |
6.1119645e-05 |
| 5,039 |
Tile-based Lightweight Integer Compression in GPU |
2022 |
SIGMOD |
5.7369993e-05 |
| 5,571 |
A Deep Dive into Common Open Formats for Analytical DBMSs |
2023 |
VLDB |
5.4279553e-05 |
| 5,847 |
Order-Preserving Key Compression for In-Memory Search Trees |
2020 |
SIGMOD |
5.3040014e-05 |
| 6,366 |
Good to the Last Bit: Data-Driven Encoding with CodecDB |
2021 |
SIGMOD |
5.0892171e-05 |
| 7,160 |
MILC: Inverted List Compression in Memory |
2017 |
VLDB |
4.8088037e-05 |
| 7,171 |
Leveraging Compression in the Tableau Data Engine |
2014 |
SIGMOD |
4.8071091e-05 |
| 7,331 |
MorphStore: Analytical Query Engine with a Holistic Compression-Enabled Processing Model |
2020 |
VLDB |
4.7558046e-05 |
| 7,427 |
Selection Pushdown in Column Stores using Bit Manipulation Instructions |
2023 |
SIGMOD |
4.7282014e-05 |
| 7,431 |
CompressDB: Enabling Efficient Compressed Data Direct Processing for Various Databases |
2022 |
SIGMOD |
4.7274757e-05 |
| 7,470 |
Bullion: A Column Store for Machine Learning |
2025 |
CIDR |
4.7159125e-05 |
| 8,090 |
PIDS: Attribute Decomposition for Improved Compression and Query Performance in Columnar Storage |
2020 |
VLDB |
4.5853298e-05 |
| 9,595 |
High-Ratio Compression for Machine-Generated Data |
2023 |
SIGMOD |
4.3153078e-05 |
| 9,905 |
Rethinking the Encoding of Integers for Scans on Skewed Data |
2023 |
SIGMOD |
4.2537799e-05 |