The DOI matches its Crossref record.
Apache Spark: a unified engine for big data processing
Abstract
This open source computing framework unifies streaming, batch, and interactive big data workloads to unlock new applications.
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Apache Spark, Apache Storm, and Apache Heron are considered heavyweight frameworks and fit less into the context of microservices.
“Apache Spark (Zaharia et al., 2016), Apache Storm (Toshniwal et al., 2014), and the successor of the latter, Apache Heron (Kulkarni et al., 2015), are considered heavyweight frameworks and, thus, fit less into the context of microservices (Bellemare, 2020).”
From Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud (2024) · cites this paper as Zaharia et al., 2016
Apache Spark processes data streams in micro-batches.
“Spark differs from the frameworks discussed before in that it processes data streams in ''micro-batches''.”
From Benchmarking scalability of stream processing frameworks deployed as microservices in the cloud (2024) · cites this paper as Zaharia et al., 2016
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Research works printed but not linked: 24
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- Zaharia M. An Architecture for Fast and General Data Processing on Large Clusters. Ph.D. thesis Electrical Engineering and Computer Sciences Department University of California Berkeley 2014; https://www.eecs.berkeley.edu/Pubs/TechRpts/2014/EECS-2014-12.pdf
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Self-citationBenchmarking scalability of stream processing frameworks deployed as microservices in the cloud
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Metadata
- Authors
- Zaharia, M., Xin, R. S., Wendell, P., Das, T., Armbrust, M., Dave, A., Meng, X., Rosen, J., Venkataraman, S., Franklin, M. J., Ghodsi, A., Gonzalez, J., Shenker, S., & Stoica, I.
- Affiliations
- Databricks (United States) (US)
- University of California, Berkeley (US)
- University of Chicago (US)
- ORCID
- Venue
- Communications of the ACM
- Published
- 2016-10-28
- Volume
- 59
- Issue
- 11
- Pages
- 56-65
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2542459869
- Cited by
- 2,757
- References
- 0
- Citations by year
- 2026: 316 · 2025: 267 · 2024: 228 · 2023: 265 · 2022: 264 · 2021: 370 · 2020: 374 · 2019: 346 · 2018: 245 · 2017: 79 · 2016: 2
- FWCI
- 318.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Communications of the ACM (publishedVersion)
- Funders
- National Science Foundation (CCF-1139158)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Information Systems › Advanced Database Systems and Queries
- Social Sciences › Decision Sciences › Information Systems and Management › Big Data Technologies and Applications
- Keywords
- Apache Spark, big data processing, stream processing, batch processing, interactive querying, distributed computing framework, open source software
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