Ursa: A Lakehouse-Native Data Streaming Engine for Kafka
Summary: Ursa: a leaderless, Kafka‑compatible, cloud‑native engine that writes directly to lakehouse tables on object storage, eliminating leader-based replication, broker disk storage, and external connectors. Matches Kafka throughput with exactly-once semantics and up to 10x lower infra cost. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Matteo Merli (StreamNative, Inc.)
- 2. Sijie Guo (StreamNative, Inc.)
- 3. Penghui Li (StreamNative, Inc.)
- 4. Hang Chen (StreamNative, Inc.)
- 5. Neng Lu (StreamNative, Inc.)
BibTeX Citation
@article{merli_vldb25,
title = {{Ursa: A Lakehouse-Native Data Streaming Engine for Kafka}},
author = {Merli, Matteo and Guo, Sijie and Li, Penghui and Chen, Hang and Lu, Neng},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5184--5196},
doi = {10.14778/3750601.3750636},
url = {https://doi.org/10.14778/3750601.3750636},
year = {2025}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 520 | Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores | 2020 | VLDB | 0.00017136828 |
| 1,138 | Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics | 2021 | CIDR | 0.00012023643 |
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