EDBT 2026 Demo / reviewers in the wild / expert
Preetham Poluparthi
dblp:415/9654
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Databases, data mining, and information retrieval
1 paper |
Query processing and optimization · 54% Distributed and cloud data management · 23% Data models and query languages · 23% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Query processing and optimization
analytical query processing |
0.9 | 1 | 2025 | Cloudy With a Chance of JSON · Proc. VLDB Endow. 2025 |
Query processing and optimization › query execution › query operator implementation
columnar execution |
0.9 | 1 | 2025 | Cloudy With a Chance of JSON · Proc. VLDB Endow. 2025 |
Distributed and cloud data management › cloud database
database-as-a-service |
0.9 | 1 | 2025 | Cloudy With a Chance of JSON · Proc. VLDB Endow. 2025 |
Data models and query languages › NoSQL database
document-oriented database |
0.9 | 1 | 2025 | Cloudy With a Chance of JSON · Proc. VLDB Endow. 2025 |
Methods — techniques the papers use, named apart from their topics
shared-nothing architecture · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Cloudy With a Chance of JSONabstractCouchbase Capella is a scalable document-oriented database service in the cloud. Its existing Capella Operational service is based on a shared-nothing architecture and supports high volumes of low-latency queries and updates for JSON documents. Its new Capella Columnar cloud service complements the Operational service. The Capella Columnar service supports complex analytical queries (e.g., ad hoc joins and aggregations) over large collections of JSON documents that can originate from a variety of Couchbase and non-Couchbase data sources and formats and can either be stored and managed by the Capella Columnar service or externally stored and accessed on demand at query time. This paper describes the new Capella Columnar service, looking both over and under the hood. Murtadha Al Hubail, Ali Alsuliman, Wail Y. Alkowaileet, Michael Blow, Michael J. Carey 0001, Savyasach Enukonda, Peeyush Gupta, Santosh Hegde, Kamini Jagtiani, Abhishek Jindal, Nawazish Kahn, Mehnaz Tabassum Mahin, Ian Maxon, M. Muralikrishna, Keshav Murthy, Preetham Poluparthi, Ankit Prabhu, Ritik Raj, Vijay Sarathy, Shahrzad Shirazi, Utsav Singh, Hussain Towaileb, Ayush Tripathi, Janhavi Tripurwar, Bo-Chun Wang, Till Westmann |
Proc. VLDB Endow. | 17 |