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
- 2. Barzan Mozafari
- 3. Sumedh Wale
- 4. Sudhir Menon
- 5. Neeraj Kumar
- 6. Hemant Bhanawat
- 7. Soubhik Chakraborty
- 8. Yogesh Mahajan
- 9. Rishitesh Mishra
- 10. Kishor Bachhav
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,161 | VerdictDB: Universalizing Approximate Query Processing | 2018 | SIGMOD | 0.00013579831 |
| 1,574 | Approximate Query Processing: No Silver Bullet | 2017 | SIGMOD | 0.00011289028 |
| 2,589 | Database Learning: Toward a Database that Becomes Smarter Every Time | 2017 | SIGMOD | 8.4868591e-05 |
| 3,117 | Distributed Lock Management with RDMA: Decentralization without Starvation | 2018 | SIGMOD | 7.5400979e-05 |
| 5,543 | Lightweight Cardinality Estimation in LSM-based Systems | 2018 | SIGMOD | 5.4486922e-05 |
| 5,853 | ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency | 2022 | VLDB | 5.2982336e-05 |
| 6,402 | Approximate Query Engines: Commercial Challenges and Research Opportunities | 2017 | SIGMOD | 5.0725227e-05 |
| 11,621 | Tabula in Action: A Sampling Middleware for Interactive Geospatial Visualization Dashboards | 2020 | VLDB | 4.1905499e-05 |
| 11,717 | Demonstration of VerdictDB, the Platform-Independent AQP System | 2018 | SIGMOD | 4.1905499e-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 |
|---|---|---|---|---|
| 14 | Online Aggregation | 1997 | SIGMOD | 0.0010813443 |
| 287 | Storm @Twitter | 2014 | SIGMOD | 0.00028917909 |
| 1,151 | Blink and It's Done: Interactive Queries on Very Large Data | 2012 | VLDB | 0.00013634671 |
| 1,867 | Knowing When You’re Wrong: Building Fast and Reliable Approximate Query Processing Systems | 2014 | SIGMOD | 0.00010264932 |
| 3,387 | Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database | 2015 | SIGMOD | 7.1505623e-05 |
| 5,867 | ABS: a System for Scalable Approximate Queries with Accuracy Guarantees | 2014 | SIGMOD | 5.2933639e-05 |
| 6,180 | MonetDB/DataCell: Online Analytics in a Streaming Column-Store | 2012 | VLDB | 5.1643914e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,777 | Quickstep: A Data Platform Based on the Scaling-Up Approach | 2018 | VLDB | 8.1346418e-05 |
| 4,498 | ClickHouse - Lightning Fast Analytics for Everyone | 2024 | VLDB | 6.1351257e-05 |
| 5,691 | Cloud-Native Transactions and Analytics in SingleStore | 2022 | SIGMOD | 5.3697521e-05 |
| 9,505 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB | 4.3300131e-05 |
| 9,517 | [Demo] Low-latency Spark Queries on Updatable Data | 2019 | SIGMOD | 4.3294347e-05 |
| 4,619 | Wildfire: Concurrent Blazing Data Ingest and Analytics | 2016 | SIGMOD | 6.0376316e-05 |
| 1,786 | Hybrid Transactional/Analytical Processing: A Survey | 2017 | SIGMOD | 0.00010543881 |
| 1,546 | Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark | 2018 | SIGMOD | 0.00011418993 |
| 4,364 | Evolving Databases for New-Gen Big Data Applications | 2017 | CIDR | 6.2454708e-05 |
| 3,335 | SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics | 2017 | CIDR | 7.2023806e-05 |