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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
5178
Venue
SIGMOD
Year
2016
Pagerank
6.0411906e-05
Overall Rank
4,624 | 67.84%
DOI
10.1145/2882903.2889406

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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
35 MonetDB/X100: Hyper-Pipelining Query Execution 2005 CIDR 0.00076197749
66 Spark SQL: Relational Data Processing in Spark 2015 SIGMOD 0.00061639801
80 Weaving Relations for Cache Performance 2001 VLDB 0.00055721729
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
1,016 Memory-Efficient Hash Joins 2015 VLDB 0.00014638492
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