Ringo: Interactive Graph Analytics on Big-Memory Machines
Summary: Ringo enables interactive graph analytics on a single big-memory machine. It ingests relational tables to build graphs and offers 200+ analytics functions, delivering high performance with easy, iterative data exploration for graph workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yonathan Perez (Stanford University)
- 2. Rok Sosič (Stanford University)
- 3. Arijit Banerjee (Stanford University)
- 4. Rohan Puttagunta (Stanford University)
- 5. Martin Raison (Stanford University)
- 6. Pararth Shah (Stanford University)
- 7. Jure Leskovec (Stanford University)
BibTeX Citation
@inproceedings{perez_sigmod15,
title = {{Ringo: Interactive Graph Analytics on Big-Memory Machines}},
author = {Perez, Yonathan and Sosič, Rok and Banerjee, Arijit and Puttagunta, Rohan and Raison, Martin and Shah, Pararth and Leskovec, Jure},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2735369},
url = {https://dl.acm.org/doi/10.1145/2723372.2735369},
year = {2015}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,916 | Extracting and Analyzing Hidden Graphs from Relational Databases | 2017 | SIGMOD | 7.8583302e-05 |
| 5,092 | GraphGen: Exploring Interesting Graphs in Relational Data | 2015 | VLDB | 6.2794238e-05 |
| 10,128 | Chimera: A system design of dual storage and traversal-join unified query processing for SQL/PGQ | 2025 | VLDB | 5.0751052e-05 |
| 12,368 | Graph-based Exploration of Non-graph Datasets | 2016 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 7 of 7 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 | 0.0012092602 |
| 22 | Distributed GraphLab: A Framework for Machine Learning and Data Mining in the Cloud | 2012 | VLDB | 0.00055962491 |
| 444 | Trinity: A Distributed Graph Engine on a Memory Cloud | 2013 | SIGMOD | 0.00018177351 |
| 1,310 | An Experimental Comparison of Pregel-like Graph Processing Systems | 2014 | VLDB | 0.00011068618 |
| 1,677 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD | 9.9125466e-05 |
| 3,066 | Scalable Big Graph Processing in MapReduce | 2014 | SIGMOD | 7.6877117e-05 |
| 3,380 | OPT: A New Framework for Overlapped and Parallel Triangulation in Large-scale Graphs | 2014 | SIGMOD | 7.3567664e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 9,517 | Efficient Exploration of Interesting Aggregates in RDF Graphs | 2021 | SIGMOD |
| 2 | 5,684 | iTurboGraph: Scaling and Automating Incremental Graph Analytics | 2021 | SIGMOD |
| 3 | 9,717 | HiNGE: Enabling Temporal Network Analytics at Scale | 2013 | SIGMOD |
| 4 | 12,017 | RealGraphWeb: A Graph Analysis Platform on the Web | 2021 | VLDB |
| 5 | 10,232 | Graph Exploration: From Users to Large Graphs | 2017 | SIGMOD |
| 6 | 1,677 | Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets | 2014 | SIGMOD |
| 7 | 4,897 | Systems for Big-Graphs | 2014 | VLDB |
| 8 | 12,159 | GraphWrangler: An Interactive Graph View on Relational Data | 2019 | SIGMOD |
| 9 | 13,579 | Effective Clustering for Large Multi-Relational Graphs | 2026 | SIGMOD |
| 10 | 9,625 | Perseus: An Interactive Large-Scale Graph Mining and Visualization Tool | 2015 | VLDB |