Evolving Databases for New-Gen Big Data Applications
Summary: Wildfire: an HTAP system built on the Spark ecosystem to serve large-scale real-time analytics and transactional workloads. It combines columnar storage and execution with Spark to reconcile conflicting T/A optimizations and enable concurrent fast transactions and complex analytics. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ronald Barber (IBM)
- 2. Christian Garcia-Arellano (IBM)
- 3. Ronen Grosman (IBM)
- 4. Rene Mueller (IBM)
- 5. Vijayshankar Raman (IBM)
- 6. Richard Sidle (IBM)
- 7. Matt Spilchen (IBM)
- 8. Adam Storm (IBM)
- 9. Yuanyuan Tian (IBM)
- 10. Pinar Tozun (IBM)
- 11. Daniel Zilio (IBM)
- 12. Matt Huras (IBM)
- 13. Guy Lohman (IBM)
- 14. C. Mohan (IBM)
- 15. Fatma Ozcan (IBM)
- 16. Hamid Pirahesh (IBM)
BibTeX Citation
@inproceedings{barber_cidr17,
address = {Amsterdam, Netherlands},
series = {{CIDR} '17},
title = {{Evolving Databases for New-Gen Big Data Applications}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Barber, Ronald and Garcia-Arellano, Christian and Grosman, Ronen and Mueller, Rene and Raman, Vijayshankar and Sidle, Richard and Spilchen, Matt and Storm, Adam and Tian, Yuanyuan and Tozun, Pinar and Zilio, Daniel and Huras, Matt and Lohman, Guy and Mohan, C. and Ozcan, Fatma and Pirahesh, Hamid},
year = {2017}
}Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 271 | TiDB: A Raft-based HTAP Database | 2020 | VLDB | 0.00022703024 |
| 1,312 | Hybrid Transactional/Analytical Processing: A Survey | 2017 | SIGMOD | 0.00011193166 |
| 1,948 | Greenplum: A Hybrid Database for Transactional and Analytical Workloads | 2021 | SIGMOD | 9.432395e-05 |
| 2,972 | F1 Lightning: HTAP as a Service | 2020 | VLDB | 7.9114157e-05 |
| 5,155 | ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency | 2022 | VLDB | 6.3420293e-05 |
| 5,602 | How Good is My HTAP System? | 2022 | SIGMOD | 6.1538237e-05 |
| 7,915 | Krypton: Real-time Serving and Analytical SQL Engine at ByteDance | 2023 | VLDB | 5.5181056e-05 |
| 7,988 | Scalable and Robust Snapshot Isolation for High-Performance Storage Engines | 2023 | VLDB | 5.5113542e-05 |
| 9,774 | Hermes: Off-the-Shelf Real-Time Transactional Analytics | 2025 | VLDB | 5.2209769e-05 |
| 11,001 | veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 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 | MonetDB/X100: Hyper-Pipelining Query Execution | 2005 | CIDR | 0.0006312782 |
| 24 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00054865648 |
| 144 | Megastore: Providing Scalable, Highly Available Storage for Interactive Services | 2011 | CIDR | 0.00029554682 |
| 165 | DB2 with BLU Acceleration: So Much More than Just a Column Store | 2013 | VLDB | 0.00027693424 |
| 186 | The Vertica Analytic Database: C-Store 7 Years Later | 2012 | VLDB | 0.00026182534 |
| 330 | Impala: A Modern, Open-Source SQL Engine for Hadoop | 2015 | CIDR | 0.0002104801 |
| 2,850 | HAWQ: A Massively Parallel Processing SQL Engine in Hadoop | 2014 | SIGMOD | 8.0499212e-05 |
| 4,162 | Wildfire: Concurrent Blazing Data Ingest and Analytics | 2016 | SIGMOD | 6.8617165e-05 |
| 4,560 | Distributed Architecture of Oracle Database In-memory | 2015 | VLDB | 6.6309507e-05 |
| 12,146 | Tutorial: SQL-on-Hadoop Systems | 2015 | VLDB | 5.093636e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,762 | HTAP Databases: What is New and What is Next | 2022 | SIGMOD |
| 2 | 8,072 | Operational Analytics Data Management Systems | 2016 | VLDB |
| 3 | 3,555 | Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing | 2019 | SIGMOD |
| 4 | 2,594 | Big Data Analytics with Datalog Queries on Spark | 2016 | SIGMOD |
| 5 | 7,471 | Are We Experiencing a Big Data Bubble? | 2014 | SIGMOD |
| 6 | 3,082 | Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database | 2015 | SIGMOD |
| 7 | 2,868 | SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics | 2017 | CIDR |
| 8 | 5,917 | Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads | 2022 | VLDB |
| 9 | 1,312 | Hybrid Transactional/Analytical Processing: A Survey | 2017 | SIGMOD |
| 10 | 4,162 | Wildfire: Concurrent Blazing Data Ingest and Analytics | 2016 | SIGMOD |