DBScholar

Back to papers

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
4663
Venue
SIGMOD
Year
2012
Pagerank
5.5669484e-05
Overall Rank
7,689 | 47.25%
DOI
10.1145/2213836.2213955

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{su_sigmod12,
        title = {{Oracle In-Database Hadoop: When MapReduce Meets RDBMS}},
        author = {Su, Xueyuan and Swart, Garret},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213955},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213955},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
2,354 epiC: an Extensible and Scalable System for Processing Big Data 2014 VLDB 8.7060612e-05
2,850 HAWQ: A Massively Parallel Processing SQL Engine in Hadoop 2014 SIGMOD 8.0499212e-05
Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers