Quill: Efficient, Transferable, and Rich Analytics at Scale

Summary: Quill is a cloud-native platform for scalable relational and temporal analytics. It introduces ShardedStreamable, a transferable abstraction decoupling incremental logic, data movement, and keying to enable offline/real-time plans; a master-less architecture with Trill integration scales to many nodes and yields orders-of-magnitude gains on temporal workloads over SparkSQL. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11490
Venue: VLDB
Year: 2016
Pagerank: 5.5628268e-05
Overall Rank: 7,709 | 47.11%
DOI: 10.14778/3007328.3007329

Incoming Non-self Citations Over Time

Authors

1. Badrish Chandramouli (Microsoft)
2. Raul Castro Fernandez (Massachusetts Institute of Technology)
3. Jonathan Goldstein (Microsoft)
4. Ahmed Eldawy (University of Minnesota)
5. Abdul Quamar (University of Maryland)

BibTeX Citation

@article{chandramouli_vldb16,
        title = {{Quill: Efficient, Transferable, and Rich Analytics at Scale}},
        author = {Chandramouli, Badrish and Fernandez, Raul Castro and Goldstein, Jonathan and Eldawy, Ahmed and Quamar, Abdul},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {14},
        pages = {1623--1634},
        doi = {10.14778/3007328.3007329},
        url = {https://doi.org/10.14778/3007328.3007329},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
3,964	Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in SCOPE	2019	VLDB	6.9855158e-05
5,232	A.M.B.R.O.S.I.A: Providing Performant Virtual Resiliency for Distributed Applications	2020	VLDB	6.3067852e-05
6,045	Helios: Hyperscale Indexing for the Cloud & Edge	2020	VLDB	5.9957544e-05

Outgoing Citations (Sorted by Pagerank)

Showing 15 of 15 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
24	Spark SQL: Relational Data Processing in Spark	2015	SIGMOD	0.00054865648
26	Models and Issues in Data Stream Systems	2002	PODS	0.00052982574
32	Hive - A Warehousing Solution Over a Map-Reduce Framework	2009	VLDB	0.00050111008
44	A Comparison of Approaches to Large-Scale Data Analysis	2009	SIGMOD	0.00046055057
127	The Design of the Borealis Stream Processing Engine	2005	CIDR	0.00030738755
224	MillWheel: Fault-Tolerant Stream Processing at Internet Scale	2013	VLDB	0.00024130894
330	Impala: A Modern, Open-Source SQL Engine for Hadoop	2015	CIDR	0.0002104801
361	The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing	2015	VLDB	0.00020138717
425	Shark: SQL and Rich Analytics at Scale	2013	SIGMOD	0.00018704491
710	Trill: A High-Performance Incremental Query Processor for Diverse Analytics	2015	VLDB	0.00014715033
769	A Comparison of Join Algorithms for Log Processing in MapReduce	2010	SIGMOD	0.00014166872
843	Processing Theta-Joins using MapReduce*	2011	SIGMOD	0.00013666161
1,320	From Theory to Practice: Efficient Join Query Evaluation in a Parallel Database System	2015	SIGMOD	0.00011166426
2,929	StreamRec: A Real-Time Recommender System	2011	SIGMOD	7.9525409e-05
5,676	Scalable Progressive Analytics on Big Data in the Cloud	2013	VLDB	6.1251441e-05

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