Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications

Summary: Tez is an open framework to build data-flow engines on YARN, enabling component reuse with a flexible data plane. It unifies blocks to curb fragmentation and enables dynamic partition pruning; Tez-backed Hive, Pig, Spark, Cascading beat native YARN on TPC-DS/H. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: h1fd58ef70c20cf4d
Venue: SIGMOD
Year: 2015
Pagerank: 6.9432955e-05
Overall Rank: 3,891 | 73.85%
DOI: 10.1145/2723372.2742790

Incoming Non-self Citations Over Time

Authors

1. Bikas Saha (Hortonworks)
2. Hitesh Shah (Hortonworks)
3. Siddharth Seth (Hortonworks)
4. Gopal Vijayaraghavan (Hortonworks)
5. Arun Murthy (Hortonworks)
6. Carlo Curino (Microsoft)

BibTeX Citation

@inproceedings{saha_sigmod15,
        title = {{Apache Tez: A Unifying Framework for Modeling and Building Data Processing Applications}},
        author = {Saha, Bikas and Shah, Hitesh and Seth, Siddharth and Vijayaraghavan, Gopal and Murthy, Arun and Curino, Carlo},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2742790},
        url = {https://dl.acm.org/doi/10.1145/2723372.2742790},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
379	Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources	2018	SIGMOD	0.00019514689
1,829	DBEst: Revisiting Approximate Query Processing Engines with Machine Learning Models	2019	SIGMOD	9.5510333e-05
3,446	Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing	2019	SIGMOD	7.2942885e-05
5,005	Using Cloud Functions as Accelerator for Elastic Data Analytics	2023	SIGMOD	6.3177105e-05
6,523	REEF: Retainable Evaluator Execution Framework	2015	SIGMOD	5.7568314e-05
11,456	IcedTea: Efficient and Responsive Time-Travel Debugging in Dataflow Systems	2025	VLDB	4.9793485e-05
12,031	Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters	2021	VLDB	4.9793485e-05
12,185	Integration of Large-Scale Data Processing Systems and Traditional Parallel Database Technology	2019	VLDB	4.9793485e-05
12,438	Tutorial: SQL-on-Hadoop Systems	2015	VLDB	4.9793485e-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
6	Pig Latin: A Not-So-Foreign Language for Data Processing	2008	SIGMOD	0.001052036
31	Hive - A Warehousing Solution Over a Map-Reduce Framework	2009	VLDB	0.00049839909
49	Dremel: Interactive Analysis of Web-Scale Datasets	2010	VLDB	0.00043160717
327	Impala: A Modern, Open-Source SQL Engine for Hadoop	2015	CIDR	0.0002095191
3,556	WANalytics: Analytics for a Geo-Distributed Data-Intensive World	2015	CIDR	7.2084485e-05
7,176	REEF: Retainable Evaluator Execution Framework	2013	VLDB	5.5934672e-05

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#	Overall Rank	Paper	Year	Venue
1	2,282	A Platform for Scalable One-Pass Analytics using MapReduce	2011	SIGMOD
2	2,689	Major Technical Advancements in Apache Hive	2014	SIGMOD
3	6,523	REEF: Retainable Evaluator Execution Framework	2015	SIGMOD
4	651	Building a High-Level Dataflow System on top of Map-Reduce: The Pig Experience	2009	VLDB
5	2,053	tf.data: A Machine Learning Data Processing Framework	2021	VLDB
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8	1,884	SQL-on-Hadoop: Full Circle Back to Shared-Nothing Database Architectures	2014	VLDB
9	379	Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources	2018	SIGMOD
10	3,446	Apache Hive: From MapReduce to Enterprise-grade Big Data Warehousing	2019	SIGMOD