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}
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