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Maximus: A Modular Accelerated Query Engine for Data Analytics on Heterogeneous Systems
Summary: Maximus is a modular query engine for heterogeneous systems, enabling cross-engine ops and flexible I/O. Operator-level integration via Substrait with third-party engines enables cross-CPU/GPU pipelines and overlapped compute/communication for TPC-H.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7243
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.5814829e-05
- Overall Rank
- 8,118 | 43.53%
- DOI
-
10.1145/3725324
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 60 |
Efficiently Compiling Efficient Query Plans for Modern Hardware |
2011 |
VLDB |
0.00064439773 |
| 185 |
DuckDB: an Embeddable Analytical Database |
2019 |
SIGMOD |
0.00036538405 |
| 418 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023729211 |
| 596 |
HYRISE—A Main Memory Hybrid Storage Engine |
2011 |
VLDB |
0.00019481482 |
| 1,273 |
The Yin and Yang of Processing Data Warehousing Queries on GPU Devices |
2013 |
VLDB |
0.00012912938 |
| 2,040 |
A Study of the Fundamental Performance Characteristics of GPUs and CPUs for Database Analytics |
2020 |
SIGMOD |
9.7057698e-05 |
| 2,443 |
Data Management for Data Science: Towards Embedded Analytics |
2020 |
CIDR |
8.8078476e-05 |
| 2,528 |
Velox: Meta’s Unified Execution Engine |
2022 |
VLDB |
8.59454e-05 |
| 2,651 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3694317e-05 |
| 3,841 |
Farview: Disaggregated Memory with Operator Off-loading for Database Engines |
2022 |
CIDR |
6.7103563e-05 |
| 3,988 |
All-in-One: Graph Processing in RDBMSs Revisited |
2017 |
SIGMOD |
6.5589605e-05 |
| 4,239 |
The Composable Data Management System Manifesto |
2023 |
VLDB |
6.3318452e-05 |
| 4,948 |
Designing an Open Framework for Query Optimization and Compilation |
2022 |
VLDB |
5.8116879e-05 |
| 5,338 |
Fast In-Memory SQL Analytics on Typed Graphs |
2017 |
VLDB |
5.5629772e-05 |
| 6,066 |
GPU Database Systems Characterization and Optimization |
2024 |
VLDB |
5.2290447e-05 |
| 6,340 |
Apache Arrow DataFusion: A Fast, Embeddable, Modular Analytic Query Engine |
2024 |
SIGMOD |
5.1051018e-05 |
| 6,525 |
Database Technology for the Masses: Sub-Operators as First-Class Entities |
2021 |
VLDB |
5.027205e-05 |
| 6,863 |
Declarative Sub-Operators for Universal Data Processing |
2023 |
VLDB |
4.905092e-05 |
| 7,237 |
CleanM: An Optimizable Query Language for Unified Scale-Out Data Cleaning |
2017 |
VLDB |
4.7928651e-05 |
| 7,328 |
BOSS - An Architecture for Database Kernel Composition |
2024 |
VLDB |
4.7610909e-05 |
| 7,470 |
The Case for Deep Query Optimisation |
2020 |
CIDR |
4.7201897e-05 |
| 8,051 |
Building Advanced SQL Analytics From Low-Level Plan Operators |
2021 |
SIGMOD |
4.5969549e-05 |
| 8,094 |
Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms |
2021 |
VLDB |
4.5867812e-05 |
| 8,582 |
Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? |
2025 |
CIDR |
4.492033e-05 |
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| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 8,861 |
A Model for Query Execution Over Heterogeneous Instances |
2024 |
CIDR |
4.4331977e-05 |
| 1,409 |
High-Speed Query Processing over High-Speed Networks |
2016 |
VLDB |
0.00012132768 |
| 2,651 |
HetExchange: Encapsulating heterogeneous CPU-GPU parallelism in JIT compiled engines |
2019 |
VLDB |
8.3694317e-05 |
| 9,970 |
Rethinking Analytical Processing in the GPU Era |
2026 |
CIDR |
4.1945683e-05 |
| 5,019 |
Orchestrating Data Placement and Query Execution in Heterogeneous CPU-GPU DBMS |
2022 |
VLDB |
5.7559197e-05 |
| 7,038 |
Demonstrating Efficient Query Processing in Heterogeneous Environments |
2014 |
SIGMOD |
4.8546906e-05 |
| 3,305 |
Robust Query Processing in Co-Processor-accelerated Databases |
2016 |
SIGMOD |
7.2460965e-05 |
| 4,326 |
Fast Queries Over Heterogeneous Data Through Engine Customization |
2016 |
VLDB |
6.288323e-05 |
| 8,094 |
Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms |
2021 |
VLDB |
4.5867812e-05 |
| 4,363 |
Hardware-conscious Query Processing in GPU-accelerated Analytical Engines |
2019 |
CIDR |
6.2552614e-05 |