Oracle In-Database Hadoop: When MapReduce Meets RDBMS

Summary: Oracle In-Database Hadoop runs native Hadoop apps inside the Oracle DB, blending MapReduce with SQL. Prototype shows seamless MapReduce integration in SQL queries, leveraging Oracle's parallelism and a Hadoop subset to reuse Java-based programs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4602
Venue: SIGMOD
Year: 2012
Pagerank: 4.7768528e-05
Overall Rank: 7,269 | 49.49%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Xueyuan Su
2. Garret Swart

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,797	epiC: an Extensible and Scalable System for Processing Big Data	2014	VLDB	0.00010502488
3,070	HAWQ: A Massively Parallel Processing SQL Engine in Hadoop	2014	SIGMOD	7.6157391e-05

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
3	Pig Latin: A Not-So-Foreign Language for Data Processing	2008	SIGMOD	0.0024217964
70	Hive - A Warehousing Solution Over a Map-Reduce Framework	2009	VLDB	0.00059744625
158	HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads	2009	VLDB	0.00040401371
909	Tenzing A SQL Implementation On The MapReduce Framework	2011	VLDB	0.0001540191
1,361	SQL/MapReduce: A practical approach to self-describing, polymorphic, and parallelizable user-defined functions	2009	VLDB	0.00012393719
6,771	Oracle Database Filesystem	2011	SIGMOD	4.9267963e-05

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