Scaling Spark in the Real World: Performance and Usability
Summary: Real-world Spark deployment across diverse organizations via consulting and Databricks; analyzes adoption challenges and requirements. Reports usability and engine-performance improvements to Spark addressing broad real-world workloads. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Michael Armbrust
- 2. Tathagata Das
- 3. Aaron Davidson
- 4. Ali Ghodsi
- 5. Andrew Or
- 6. Josh Rosen
- 7. Ion Stoica
- 8. Patrick Wendell
- 9. Reynold Xin
- 10. Matei Zaharia
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,248 | Hyper Dimension Shuffle: Efficient Data Repartition at Petabyte Scale in SCOPE | 2019 | VLDB | 6.3247927e-05 |
| 4,773 | PolyFrame: A Retargetable Query-based Approach to Scaling Dataframes | 2021 | VLDB | 5.9320139e-05 |
| 6,784 | SparkR: Scaling R Programs with Spark | 2016 | SIGMOD | 4.9265155e-05 |
| 7,476 | Lachesis: Automatic Partitioning for UDF-Centric Analytics | 2021 | VLDB | 4.7188928e-05 |
| 8,915 | DQDF: Data-Quality-Aware Dataframes | 2022 | VLDB | 4.427232e-05 |
| 9,124 | Dynamic Speculative Optimizations for SQL Compilation in Apache Spark | 2020 | VLDB | 4.391961e-05 |
| 9,584 | Introduction to Spark 2.0 for Database Researchers | 2016 | SIGMOD | 4.3218691e-05 |
| 11,694 | An Experimental Evaluation of Garbage Collectors on Big Data Applications | 2019 | VLDB | 4.1945683e-05 |
| 11,743 | DfAnalyzer: Runtime Dataflow Analysis of Scientific Applications using Provenance | 2018 | VLDB | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4 | Pregel: A System for Large-Scale Graph Processing | 2010 | SIGMOD | 0.0019005923 |
| 66 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00061639801 |
| 2,355 | G-OLA: Generalized On-Line Aggregation for Interactive Analysis on Big Data | 2015 | SIGMOD | 8.9677847e-05 |
| 3,058 | Rethinking Data-Intensive Science Using Scalable Analytics Systems | 2015 | SIGMOD | 7.6410159e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,617 | A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning | 2024 | VLDB | 4.4846425e-05 |
| 9,124 | Dynamic Speculative Optimizations for SQL Compilation in Apache Spark | 2020 | VLDB | 4.391961e-05 |
| 8,197 | SparkCruise: Workload Optimization in Managed Spark Clusters at Microsoft | 2021 | VLDB | 4.5607121e-05 |
| 3,200 | Big Data Analytics with Datalog Queries on Spark | 2016 | SIGMOD | 7.3912411e-05 |
| 13,096 | Blink Twice - Automatic Workload Pinning and Regression Detection for Versionless Apache Spark using Retries | 2025 | SIGMOD | - |
| 1,548 | Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark | 2018 | SIGMOD | 0.00011431383 |
| 6,784 | SparkR: Scaling R Programs with Spark | 2016 | SIGMOD | 4.9265155e-05 |
| 9,584 | Introduction to Spark 2.0 for Database Researchers | 2016 | SIGMOD | 4.3218691e-05 |
| 7,019 | Bridging the Gap Between HPC and Big Data Frameworks | 2017 | VLDB | 4.860057e-05 |
| 13,349 | Trends and Challenges in Big Data Processing | 2016 | VLDB | - |