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
- 2. Christian Garcia-Arellano
- 3. Ronen Grosman
- 4. Rene Mueller
- 5. Vijayshankar Raman
- 6. Richard Sidle
- 7. Matt Spilchen
- 8. Adam Storm
- 9. Yuanyuan Tian
- 10. Pinar Tozun
- 11. Daniel Zilio
- 12. Matt Huras
- 13. Guy Lohman
- 14. C. Mohan
- 15. Fatma Ozcan
- 16. Hamid Pirahesh
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 488 | TiDB: A Raft-based HTAP Database | 2020 | VLDB | 0.000220409 |
| 1,792 | Hybrid Transactional/Analytical Processing: A Survey | 2017 | SIGMOD | 0.00010537893 |
| 2,691 | Greenplum: A Hybrid Database for Transactional and Analytical Workloads | 2021 | SIGMOD | 8.2909126e-05 |
| 3,768 | F1 Lightning: HTAP as a Service | 2020 | VLDB | 6.7782774e-05 |
| 5,865 | ByteHTAP: ByteDance’s HTAP System with High Data Freshness and Strong Data Consistency | 2022 | VLDB | 5.296893e-05 |
| 6,501 | How Good is My HTAP System? | 2022 | SIGMOD | 5.0374293e-05 |
| 7,492 | Krypton: Real-time Serving and Analytical SQL Engine at ByteDance | 2023 | VLDB | 4.7180617e-05 |
| 8,192 | Scalable and Robust Snapshot Isolation for High-Performance Storage Engines | 2023 | VLDB | 4.562388e-05 |
| 10,607 | Hermes: Off-the-Shelf Real-Time Transactional Analytics | 2025 | VLDB | 4.1945683e-05 |
| 10,772 | veDB-HTAP: a Highly Integrated, Efficient and Adaptive HTAP System | 2025 | VLDB | 4.1945683e-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 |
|---|---|---|---|---|
| 35 | MonetDB/X100: Hyper-Pipelining Query Execution | 2005 | CIDR | 0.00076197749 |
| 66 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00061639801 |
| 189 | Megastore: Providing Scalable, Highly Available Storage for Interactive Services | 2011 | CIDR | 0.00035925334 |
| 241 | DB2 with BLU Acceleration: So Much More than Just a Column Store | 2013 | VLDB | 0.00031420034 |
| 310 | The Vertica Analytic Database: C-Store 7 Years Later | 2012 | VLDB | 0.00028132402 |
| 476 | Impala: A Modern, Open-Source SQL Engine for Hadoop | 2015 | CIDR | 0.00022226941 |
| 3,066 | HAWQ: A Massively Parallel Processing SQL Engine in Hadoop | 2014 | SIGMOD | 7.6221974e-05 |
| 4,624 | Wildfire: Concurrent Blazing Data Ingest and Analytics | 2016 | SIGMOD | 6.0411906e-05 |
| 4,891 | Distributed Architecture of Oracle Database In-memory | 2015 | VLDB | 5.8516672e-05 |
| 11,948 | Tutorial: SQL-on-Hadoop Systems | 2015 | VLDB | 4.1945683e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,284 | HTAP Databases: What is New and What is Next | 2022 | SIGMOD | 6.2914924e-05 |
| 7,866 | Operational Analytics Data Management Systems | 2016 | VLDB | 4.6321795e-05 |
| 3,973 | Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing | 2019 | SIGMOD | 6.5758017e-05 |
| 3,200 | Big Data Analytics with Datalog Queries on Spark | 2016 | SIGMOD | 7.3912411e-05 |
| 6,823 | Are We Experiencing a Big Data Bubble? | 2014 | SIGMOD | 4.9149276e-05 |
| 3,388 | Analytics in Motion: High Performance Event-Processing AND Real-Time Analytics in the Same Database | 2015 | SIGMOD | 7.1571148e-05 |
| 3,333 | SnappyData: A Unified Cluster for Streaming, Transactions, and Interactive Analytics | 2017 | CIDR | 7.2093479e-05 |
| 7,688 | Near-Data Processing in Database Systems on Native Computational Storage under HTAP Workloads | 2022 | VLDB | 4.6772837e-05 |
| 1,792 | Hybrid Transactional/Analytical Processing: A Survey | 2017 | SIGMOD | 0.00010537893 |
| 4,624 | Wildfire: Concurrent Blazing Data Ingest and Analytics | 2016 | SIGMOD | 6.0411906e-05 |