Large-Scale Graph Analytics in Aster 6: Bringing Context to Big Data Discovery
Summary: Aster 6 integrates BSP-based, iterative graph processing into a multi-engine analytic database. Vertex-API graph functions are invocable from SQL and composable with SQL-MR functions and native storage, unifying graph discovery with enterprise analytics. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. David Simmen (Teradata)
- 2. Karl Schnaitter (Teradata)
- 3. Jeff Davis (Teradata)
- 4. Yingjie He (Teradata)
- 5. Sangeet Lohariwala (Teradata)
- 6. Ajay Mysore (Teradata)
- 7. Vinayak Shenoi (Teradata)
- 8. Mingfeng Tan (Teradata)
- 9. Yu Xiao (Teradata)
BibTeX Citation
@article{simmen_vldb14,
title = {{Large-Scale Graph Analytics in Aster 6: Bringing Context to Big Data Discovery}},
author = {Simmen, David and Schnaitter, Karl and Davis, Jeff and He, Yingjie and Lohariwala, Sangeet and Mysore, Ajay and Shenoi, Vinayak and Tan, Mingfeng and Xiao, Yu},
journal = {PVLDB},
series = {{VLDB} '14},
volume = {7},
number = {13},
pages = {1405--1408},
doi = {10.14778/2733004.2733032},
url = {https://doi.org/10.14778/2733004.2733032},
year = {2014}
}
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 759 | The case against specialized graph analytics engines | 2015 | CIDR | 0.00014273591 |
| 1,432 | The More the Merrier: Efficient Multi-Source Graph Traversal | 2015 | VLDB | 0.0001080346 |
| 2,854 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD | 8.0350257e-05 |
| 4,340 | GRFusion: Graphs as First-Class Citizens in Main-Memory Relational Database Systems | 2018 | SIGMOD | 6.7539375e-05 |
| 4,973 | GraphGen: Exploring Interesting Graphs in Relational Data | 2015 | VLDB | 6.4187713e-05 |
| 7,302 | Janus: Transactional Processing of Navigational and Analytical Graph Queries on Many-core Servers | 2017 | CIDR | 5.6505228e-05 |
| 12,075 | Graph-based Exploration of Non-graph Datasets | 2016 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0012250108 |
| 20 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00056944564 |
| 1,264 | SQL/MapReduce: A practical approach to self-describing, polymorphic, and parallelizable user-defined functions | 2009 | VLDB | 0.00011416393 |
| 2,196 | Spinning Fast Iterative Data Flows | 2012 | VLDB | 8.9704984e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,842 | Ariadne: Online Provenance for Big Graph Analytics | 2019 | SIGMOD |
| 2 | 10,037 | Graph Exploration: From Users to Large Graphs | 2017 | SIGMOD |
| 3 | 7,330 | Discovering Association Rules from Big Graphs | 2022 | VLDB |
| 4 | 4,171 | Accelerating Dynamic Graph Analytics on GPUs | 2018 | VLDB |
| 5 | 7,796 | GraphScope: A One-Stop Large Graph Processing System | 2021 | VLDB |
| 6 | 2,594 | Big Data Analytics with Datalog Queries on Spark | 2016 | SIGMOD |
| 7 | 8,896 | Aster: Enhancing LSM-structures for Scalable Graph Database | 2025 | SIGMOD |
| 8 | 8,318 | Optimizing Declarative Graph Queries at Large Scale | 2019 | SIGMOD |
| 9 | 11,942 | Declarative and distributed graph analytics with GRADOOP | 2018 | VLDB |
| 10 | 8,129 | Large-scale Complex Analytics on Semi-structured Datasets using AsterixDB and Spark | 2016 | VLDB |