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Cubrick: Indexing Millions of Records per Second for Interactive Analytics

Summary: Cubrick is a distributed in-memory MDDBMS for interactive analytics on TB-scale data, delivering sub-second OLAP over a strict MD model. It range-partitions data across dims into sparse bricks for fast ingestion and indexed access on a distributed engine. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11241
Venue
VLDB
Year
2016
Pagerank
4.5331059e-05
Overall Rank
8,353 | 41.95%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
5,537 Presto: A Decade of SQL Analytics at Meta 2023 SIGMOD 5.453017e-05
6,716 Shared Foundations: Modernizing Meta's Data Lakehouse 2023 CIDR 4.9462431e-05
7,049 Statisticum: Data Statistics Management in SAP HANA 2017 VLDB 4.8454978e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
2 R-Trees: A Dynamic Index Structure For Spatial Searching 1984 SIGMOD 0.0032118946
20 C-Store: A Column-oriented DBMS 2005 VLDB 0.00086163998
235 A Study of Index Structures for Main Memory Database Management Systems 1986 VLDB 0.00031980259
407 Database Cracking 2007 CIDR 0.00023941779
496 Column-Stores vs. Row-Stores: How Different Are They Really? 2008 SIGMOD 0.00021705611
1,470 Processing a Trillion Cells per Mouse Click 2012 VLDB 0.00011827274
1,488 Scuba: Diving into Data at Facebook 2013 VLDB 0.00011690191
2,665 Dwarf: Shrinking the PetaCube 2002 SIGMOD 8.3505169e-05
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