arXiv (All)
open access
Where Does Streaming State Cost Go? A Reproducible Comparison of Flink and Kafka Streams on Kafka
This paper presents a controlled comparison of exactly-once Kafka pipelines implemented with Apache Flink and Kafka Streams, two engines with different state-management architectures. The state management in Flink occurs through checkpoints in external storage, whereas Kafka Streams restores local s
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Pseudo-Label-Triggered Retraining from Forecast Errors for Online Time Series Forecasting#1144956
- TurboServe: Serving Streaming Video Generation Efficiently and Economically#287090
- Effectiveness and predictability of in-network storage cache for Scientific Workflows#1038674
- FlashDiff: Efficient Regional Execution and Scheduling for Diffusion Model Serving#366231
- Supporting Strong Reliability for Distributed Complex Event Processing Systems#16733
Record · ID 1076435
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive