JSON Tiles: Fast Analytics on Semi-Structured Data
Summary: JSON Tiles enables fast analytics on semi-structured JSON in relational DBs without fixed schemas. It auto-detects key attributes, extracts them transparently like a column store, handles heterogeneous data, and collects optimizer statistics, achieving near-columnar scan speeds. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Dominik Durner
- 2. Viktor Leis
- 3. Thomas Neumann
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 30 of 30 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,001 | Sinew: A SQL System for Multi-Structured Data | 2014 | SIGMOD | 9.8186417e-05 |
| 7,830 | Scalable Structural Index Construction for JSON Analytics | 2021 | VLDB | 4.6388763e-05 |
| 2,130 | SQLGraph: An Efficient Relational-Based Property Graph Store | 2015 | SIGMOD | 9.4798556e-05 |
| 11,189 | dsJSON: A Distributed SQL JSON Processor | 2023 | SIGMOD | 4.1945683e-05 |
| 5,453 | Semistructured Models, Queries and Algebras in the Big Data Era | 2016 | SIGMOD | 5.4989459e-05 |
| 7,007 | Closing the functional and Performance Gap between SQL and NoSQL | 2016 | SIGMOD | 4.8653116e-05 |
| 2,781 | JSON: Data model, Query languages and Schema specification | 2017 | PODS | 8.1305074e-05 |
| 4,489 | Automatic Generation of Normalized Relational Schemas from Nested Key-Value Data | 2016 | SIGMOD | 6.1434237e-05 |
| 11,575 | JSON Schema Matching: Empirical Observations | 2020 | SIGMOD | 4.1945683e-05 |
| 2,773 | JSON Data Management – Supporting Schema-less Development in RDBMS | 2014 | SIGMOD | 8.1386587e-05 |