
SQL Analytics at GPU Speed
Sirius is a GPU-native SQL engine. It plugs into existing databases such as DuckDB via the standard Substrait query format, requiring no query rewrites or major system changes. By offloading query execution to GPUs, Sirius achieves over 10× speedup at the same hardware rental cost!
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Source code available on GitHub
Key Features
GPU-Native Speed
Sirius is 10× faster than DuckDB and 60× faster than ClickHouse at the same hardware rental cost. Built for GPUs, Sirius targets 100× speedups over CPU-based SQL engines.
Seamless Integration
Sirius plugs into databases like DuckDB and Doris via Substrait, accelerating SQL workflows without changing your stack. It supports CPU fallback for full compatibility.
Deploy Anywhere
Sirius supports a wide range of deployment options, from cloud to on-prem, delivering GPU-accelerated performance wherever you run.
Architecture

Systems marked with * are on our roadmap
Publications
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Rethinking Analytical Processing in the GPU Era
Bobbi Yogatama*, Yifei Yang*, Kevin Kristensen, Devesh Sarda, Abigale Kim, Adrian Cockcroft, Yu Teng, Joshua Patterson, Gregory Kimball, Wes McKinney, Weiwei Gong, Xiangyao Yu
arXiv, 2025
* Equal Contribution -
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics
Junyi Zhao, Kai Su, Yifei Yang, Xiangyao Yu, Paraschos Koutris, Huanchen Zhang
SIGMOD, 2025
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Accelerate Distributed Joins with Predicate Transfer
Yifei Yang, Xiangyao Yu
SIGMOD, 2025
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GPU Databases—The New Modality of Database Analytics (presentation)
Bobbi Yogatama, Xiangyao Yu
HPTS, 2024
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Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs
Bobbi Yogatama, Weiwei Gong, Xiangyao Yu
VLDB, 2024
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Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries
Yifei Yang, Hangdong Zhao, Xiangyao Yu, Paraschos Koutris
CIDR, 2024
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Accelerating User-Defined Aggregate Function (UDAF) with Block-wide Execution and JIT Compilation on GPUs
Bobbi Yogatama , Brandon Miller, Yunsong Wang, Graham Markall, Jake Hemstad, Gregory Kimball, Xiangyao Yu
DaMoN@SIGMOD, 2023
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Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS
Bobbi Yogatama, Weiwei Gong, Xiangyao Yu
VLDB, 2022
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Tile-based Lightweight Integer Compression in GPU
Anil Shanbhag*, Bobbi Yogatama*, Xiangyao Yu, Samuel Madden
SIGMOD, 2022
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A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics
Anil Shanbhag, Samuel Madden, Xiangyao Yu
SIGMOD, 2020