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Bringing the Operational and Analytical Worlds Together with Lakebase

Summary: Lakebase unifies OLTP and analytics by combining open formats and cloud object storage, while avoiding one-size-fits-all designs. AI agents blur workload boundaries, driving many small exploratory queries and new cross-system challenges. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14388
Venue
VLDB
Year
2025
Pagerank
5.2351259e-05
Overall Rank
9,694 | 33.50%
DOI
10.14778/3750601.3760524

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{zaharia_vldb25,
        title = {{Bringing the Operational and Analytical Worlds Together with Lakebase}},
        author = {Zaharia, Matei},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {12},
        pages = {5539--5539},
        doi = {10.14778/3750601.3760524},
        url = {https://doi.org/10.14778/3750601.3760524},
        year = {2025}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
10,491 Reducing Tail Latency in Storage-Disaggregated Database Systems 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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