SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics
Summary: SnappyData unifies Apache Spark's lineage-based analytics engine with Apache GemFire's consensus/replication transactional store to run streaming, OLTP, and interactive analytics in a single cluster. Paper presents system design and techniques to reconcile lineage vs consensus models. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Barzan Mozafari (SnappyData Inc.; University of Michigan)
- 2. Jags Ramnarayan (SnappyData Inc.)
- 3. Sudhir Menon (SnappyData Inc.)
- 4. Yogesh Mahajan (SnappyData Inc.)
- 5. Soubhik Chakraborty (SnappyData Inc.)
- 6. Hemant Bhanawat (SnappyData Inc.)
- 7. Kishor Bachhav (SnappyData Inc.)
BibTeX Citation
@inproceedings{mozafari_cidr17,
address = {Amsterdam, Netherlands},
series = {{CIDR} '17},
title = {{SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Mozafari, Barzan and Ramnarayan, Jags and Menon, Sudhir and Mahajan, Yogesh and Chakraborty, Soubhik and Bhanawat, Hemant and Bachhav, Kishor},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 20 of 20 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,127 | Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database | 2015 | SIGMOD |
| 2 | 4,550 | AdaptDB: Adaptive Partitioning for Distributed Joins | 2017 | VLDB |
| 3 | 3,610 | Scalable Distributed Stream Join Processing | 2015 | SIGMOD |
| 4 | 1,327 | Hybrid Transactional/Analytical Processing: A Survey | 2017 | SIGMOD |
| 5 | 2,147 | Quickstep: A Data Platform Based on the Scaling-Up Approach | 2018 | VLDB |
| 6 | 12,212 | Cost-Effective, Workload-Adaptive Migration of Big Data Applications to the Cloud | 2019 | SIGMOD |
| 7 | 4,763 | Cloud-Native Transactions and Analytics in SingleStore | 2022 | SIGMOD |
| 8 | 9,857 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB |
| 9 | 3,788 | Evolving Databases for New-Gen Big Data Applications | 2017 | CIDR |
| 10 | 5,832 | SnappyData: A Hybrid Transactional Analytical Store Built On Spark | 2016 | SIGMOD |