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Wildfire: Concurrent Blazing Data Ingest and Analytics

Summary: HTAP on Spark via the Wildfire prototype delivers concurrent high-throughput ingest (~6M inserts/sec/node) with integrated SQL analytics. Demonstrates a location-aware advertising workload with real-time analytics and continuous visualization as mobile users move and transact. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4c84843af6b766a7
Venue
SIGMOD
Year
2016
Pagerank
6.769737e-05
Overall Rank
4,162 | 72.02%
DOI
10.1145/2882903.2889406

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{barber_sigmod16,
        title = {{Wildfire: Concurrent Blazing Data Ingest and Analytics}},
        author = {Barber, Ronald and Huras, Matt and Lohman, Guy and Mohan, C. and Mueller, Rene and Özcan, Fatma and Pirahesh, Hamid and Raman, Vijayshankar and Sidle, Richard and Sidorkin, Oleg and Storm, Adam and Tian, Yuanyuan and Tözün, Pınar},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2889406},
        url = {https://dl.acm.org/doi/10.1145/2882903.2889406},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 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 0.00064031282
23 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00055406774
48 Weaving Relations for Cache Performance 2001 VLDB 0.00043805923
163 DB2 with BLU Acceleration: So Much More than Just a Column Store 2013 VLDB 0.0002749118
179 The Vertica Analytic Database: C-Store 7 Years Later 2012 VLDB 0.00026611886
969 Memory-Efficient Hash Joins 2015 VLDB 0.0001278184
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