Query-able Kafka: An agile data analytics pipeline for mobile wireless networks
Summary: Queryable Kafka performs native filtering and light transformations at the broker for gigabyte-scale, medium-velocity telecom data. This upstream approach outperforms common Kafka–Spark pipelines with negligible Kafka overhead; code available on GitHub. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Eric Falk
- 2. Vijay K. Gurbani
- 3. Radu State
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Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 288 | Storm @Twitter | 2014 | SIGMOD | 0.00028939871 |
| 323 | Gigascope: A Stream Database for Network Applications | 2003 | SIGMOD | 0.00027492196 |
| 1,499 | Apache Hadoop Goes Realtime at Facebook | 2011 | SIGMOD | 0.00011675192 |
| 1,588 | Druid: A Real-time Analytical Data Store | 2014 | SIGMOD | 0.00011239313 |
| 2,605 | Muppet: MapReduce-Style Processing of Fast Data | 2012 | VLDB | 8.4646171e-05 |
| 4,437 | Clash of the Titans: MapReduce vs. Spark for Large Scale Data Analytics | 2015 | VLDB | 6.1907793e-05 |
| 4,792 | DataBlitz: A High Performance Main-Memory Storage Manager | 1998 | VLDB | 5.918538e-05 |
| 6,131 | Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture | 2013 | SIGMOD | 5.1956688e-05 |
| 8,926 | Gobblin: Unifying Data Ingestion for Hadoop | 2015 | VLDB | 4.427232e-05 |
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