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Disaggregated State Management in Apache Flink® 2.0
Summary: Flink 2.0 disaggregates state: remote DFS primary store + local-disk cache, continuous state streaming and async execution to hide remote-storage latency. ForSt, a unified state-store, enables lightweight checkpointing and fast recovery/reconfiguration with minimal runtime changes, showing dramatic gains (94% shorter checkpoints, 49× faster recovery and ~50% cost savings).
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 14089
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.3556432e-05
- Overall Rank
- 9,318 | 35.18%
- DOI
-
10.14778/3750601.3750609
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 27 of 27 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 156 |
Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases |
2017 |
SIGMOD |
0.00040504295 |
| 167 |
The Snowflake Elastic Data Warehouse |
2016 |
SIGMOD |
0.00039180521 |
| 288 |
Storm @Twitter |
2014 |
SIGMOD |
0.00028939871 |
| 314 |
MillWheel: Fault-Tolerant Stream Processing at Internet Scale |
2013 |
VLDB |
0.00028084774 |
| 323 |
Gigascope: A Stream Database for Network Applications |
2003 |
SIGMOD |
0.00027492196 |
| 373 |
Continuous Queries over Append-Only Databases |
1992 |
SIGMOD |
0.00025341527 |
| 432 |
Flexible Time Management in Data Stream Systems |
2004 |
PODS |
0.00023368424 |
| 538 |
The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing |
2015 |
VLDB |
0.00020678804 |
| 591 |
TelegraphCQ: Continuous Dataflow Processing |
2003 |
SIGMOD |
0.00019569071 |
| 1,284 |
Amazon Redshift Re-invented |
2022 |
SIGMOD |
0.00012837822 |
| 1,551 |
Out-of-Order Processing: A New Architecture for High-Performance Stream Systems |
2008 |
VLDB |
0.00011416058 |
| 1,593 |
PolarFS: An Ultra-low Latency and Failure Resilient Distributed File System for Shared Storage Cloud Database |
2018 |
VLDB |
0.00011224049 |
| 1,613 |
Realtime Data Processing at Facebook |
2016 |
SIGMOD |
0.00011140777 |
| 1,729 |
Cloud-Native Database Systems at Alibaba: Opportunities and Challenges |
2019 |
VLDB |
0.0001073728 |
| 1,794 |
Summingbird: A Framework for Integrating Batch and Online MapReduce Computations |
2014 |
VLDB |
0.00010532024 |
| 1,990 |
Fault-Tolerance in the Borealis Distributed Stream Processing System |
2005 |
SIGMOD |
9.8472819e-05 |
| 2,264 |
S-Store: Streaming Meets Transaction Processing |
2015 |
VLDB |
9.1575142e-05 |
| 2,338 |
Samza: Stateful Scalable Stream Processing at LinkedIn |
2017 |
VLDB |
9.00711e-05 |
| 2,545 |
POLARIS: The Distributed SQL Engine in Azure Synapse |
2020 |
VLDB |
8.5725413e-05 |
| 3,152 |
AnalyticDB: Real-time OLAP Database System at Alibaba Cloud |
2019 |
VLDB |
7.4711766e-05 |
| 3,541 |
STREAM: The Stanford Stream Data Manager (Demonstration Description) |
2003 |
SIGMOD |
6.9935367e-05 |
| 4,019 |
Taurus Database: How to be Fast, Available, and Frugal in the Cloud |
2020 |
SIGMOD |
6.5238856e-05 |
| 4,822 |
Consistency and Completeness: Rethinking Distributed Stream Processing in Apache Kafka |
2021 |
SIGMOD |
5.8959131e-05 |
| 5,263 |
Consistent Regions: Guaranteed Tuple Processing in IBM Streams |
2016 |
VLDB |
5.5976361e-05 |
| 5,944 |
DBSP: Automatic Incremental View Maintenance for Rich Query Languages |
2023 |
VLDB |
5.2628186e-05 |
| 6,721 |
Beyond Analytics: The Evolution of Stream Processing Systems |
2020 |
SIGMOD |
4.9492015e-05 |
| 6,767 |
Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow |
2021 |
VLDB |
4.9322174e-05 |
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| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
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Streaming Graph Partitioning: An Experimental Study |
2018 |
VLDB |
8.6508229e-05 |
| 8,075 |
AJoin: Ad-hoc Stream Joins at Scale |
2020 |
VLDB |
4.5917655e-05 |
| 6,759 |
AStream: Ad-hoc Shared Stream Processing |
2019 |
SIGMOD |
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| 13,322 |
Fault-Tolerance for Distributed Iterative Dataflows in Action |
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VLDB |
- |
| 11,468 |
Klink: Progress-Aware Scheduling for Streaming Data Systems |
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SIGMOD |
4.1945683e-05 |
| 9,547 |
Optimistic Recovery for Iterative Dataflows in Action |
2015 |
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4.3259935e-05 |
| 1,548 |
Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark |
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SIGMOD |
0.00011431383 |
| 6,767 |
Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow |
2021 |
VLDB |
4.9322174e-05 |
| 1,226 |
Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management |
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SIGMOD |
0.00013180799 |
| 11,804 |
State Management in Apache Flink |
2017 |
VLDB |
4.1945683e-05 |