
Sirius
SQL Analytics at GPU Speed
Sirius is a GPU acceleration layer for SQL analytics. It plugs into existing engines 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, making it well-suited for interactive analytics, financial workloads, and ETL jobs.
Key Features
GPU-Native Speed
Sirius delivers order-of-magnitude faster analytics by fully unleashing the power of modern GPUs.
Drop-In Acceleration
Sirius seamlessly plugs into systems like DuckDB and Doris via Substrait, accelerating your SQL workflows without changing your stack.
Deploy Anywhere
Sirius supports both on-premises and cloud deployments, delivering GPU-accelerated performance wherever you run.
Architecture

Systems marked with * are on our roadmap
Creators of Sirius

Xiangyao Yu

Bobbi Yogatama

Yifei Yang

Kevin Kristensen

Devesh Sarda

Abigale Kim
Publications
-
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics
Junyi Zhao, Kai Su, Yifei Yang, Xiangyao Yu, Paraschos Koutris, Huanchen Zhang
SIGMOD, 2025 -
Accelerate Distributed Joins with Predicate Transfer
Yifei Yang, Xiangyao Yu
SIGMOD, 2025 -
Scaling your Hybrid CPU-GPU DBMS to Multiple GPUs
Bobbi Yogatama, Weiwei Gong, Xiangyao Yu
VLDB, 2024 -
Predicate Transfer: Efficient Pre-Filtering on Multi-Join Queries
Yifei Yang, Hangdong Zhao, Xiangyao Yu, Paraschos Koutris
CIDR, 2024 -
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 -
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS
Bobbi Yogatama, Weiwei Gong, Xiangyao Yu
VLDB, 2022 -
Tile-based Lightweight Integer Compression in GPU
Anil Shanbhag*, Bobbi Yogatama*, Xiangyao Yu, Samuel Madden
SIGMOD, 2022 -
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics
Anil Shanbhag, Samuel Madden, Xiangyao Yu
SIGMOD, 2020