SnappyData: A Hybrid Transactional Analytical Store Built On Spark
Summary: SnappyData is a unified HTAP platform that combines Apache Spark with GemFire to handle streaming, OLTP, and OLAP in a single in-memory store. Showcases interactive analytics at scale via approximate query processing, data synopses, and adjustable accuracy contracts. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jags Ramnarayan (SnappyData Inc.)
- 2. Barzan Mozafari (SnappyData Inc.; University of Michigan)
- 3. Sumedh Wale (SnappyData Inc.)
- 4. Sudhir Menon (SnappyData Inc.)
- 5. Neeraj Kumar (SnappyData Inc.)
- 6. Hemant Bhanawat (SnappyData Inc.)
- 7. Soubhik Chakraborty (SnappyData Inc.)
- 8. Yogesh Mahajan (SnappyData Inc.)
- 9. Rishitesh Mishra (SnappyData Inc.)
- 10. Kishor Bachhav (SnappyData Inc.)
BibTeX Citation
@inproceedings{ramnarayan_sigmod16,
title = {{SnappyData: A Hybrid Transactional Analytical Store Built On Spark}},
author = {Ramnarayan, Jags and Mozafari, Barzan and Wale, Sumedh and Menon, Sudhir and Kumar, Neeraj and Bhanawat, Hemant and Chakraborty, Soubhik and Mahajan, Yogesh and Mishra, Rishitesh and Bachhav, Kishor},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2889408},
url = {https://dl.acm.org/doi/10.1145/2882903.2889408},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 772 | VerdictDB: Universalizing Approximate Query Processing | 2018 | SIGMOD | 0.00014147905 |
| 1,108 | Approximate Query Processing: No Silver Bullet | 2017 | SIGMOD | 0.00012145154 |
| 1,995 | Database Learning: Toward a Database that Becomes Smarter Every Time | 2017 | SIGMOD | 9.3403665e-05 |
| 3,080 | Distributed Lock Management with RDMA: Decentralization without Starvation | 2018 | SIGMOD | 7.7746739e-05 |
| 4,945 | Lightweight Cardinality Estimation in LSM-based Systems | 2018 | SIGMOD | 6.4321265e-05 |
| 5,155 | ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency | 2022 | VLDB | 6.3420293e-05 |
| 5,906 | Approximate Query Engines: Commercial Challenges and Research Opportunities | 2017 | SIGMOD | 6.0457047e-05 |
| 11,812 | Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization Dashboards | 2020 | VLDB | 5.093636e-05 |
| 11,916 | Demonstration of VerdictDB, the Platform-Independent AQP System | 2018 | SIGMOD | 5.093636e-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 |
|---|---|---|---|---|
| 9 | Online Aggregation | 1997 | SIGMOD | 0.00077458002 |
| 220 | Storm @Twitter | 2014 | SIGMOD | 0.00024244587 |
| 1,227 | Blink and It's Done: Interactive Queries on Very Large Data | 2012 | VLDB | 0.00011582387 |
| 1,401 | Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems | 2014 | SIGMOD | 0.00010889902 |
| 3,082 | Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database | 2015 | SIGMOD | 7.7725834e-05 |
| 5,358 | ABS: a System for Scalable Approximate Queries with Accuracy Guarantees | 2014 | SIGMOD | 6.2492955e-05 |
| 6,470 | MonetDB/DataCell: Online Analytics in a Streaming Column-Store | 2012 | VLDB | 5.8705536e-05 |
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