Back to papers
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)
Paper ID
hf3255187a8582820
Venue
SIGMOD
Year
2021
Pagerank
6.9025015e-05
Overall Rank
3,927 | 73.68%
DOI
10.1145/3448016.3452809
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@inproceedings{durner_sigmod21,
title = {{JSON Tiles: Fast Analytics on Semi-Structured Data}},
author = {Durner, Dominik and Leis, Viktor and Neumann, Thomas},
series = {{SIGMOD} '21},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3448016.3452809},
url = {https://dl.acm.org/doi/10.1145/3448016.3452809},
year = {2021}
}
Incoming Citations (Sorted by Pagerank)
Showing 13 of 13 citing papers.
Rank
Citing Paper
Year
Venue
Pagerank
5,629
BOSS - An Architecture for Database Kernel Composition
2024
VLDB
6.0424626e-05
8,704
JEDI: These aren't the JSON documents you're looking for...
2022
SIGMOD
5.2710695e-05
8,868
Columnar Formats for Schemaless LSM-based Document Stores
2022
VLDB
5.2467001e-05
9,210
Towards Theory for Real-World Data
2022
PODS
5.1930561e-05
9,571
GIO: Generating Efficient Matrix and Frame Readers for Custom Data Formats by Example
2023
SIGMOD
5.1430298e-05
9,874
High-Ratio Compression for Machine-Generated Data
2023
SIGMOD
5.1049732e-05
10,105
ReCG: Bottom-Up JSON Schema Discovery Using a Repetitive Cluster-and-Generalize Framework
2024
VLDB
5.0681847e-05
10,176
GpJSON: High-performance JSON Data Processing on GPUs
2025
VLDB
5.0557339e-05
10,781
TurboLynx: Schemaless Graph Engine Strikes Back for General-Purpose Analytics
2026
VLDB
4.9605343e-05
10,959
Rhyme Native: Efficient Code Generation for Structured and Semi-Structured Workloads
2026
VLDB
4.9605343e-05
11,259
Nested Parquet Is Flat, Why Not Use It? How To Scan Nested Data With On-the-Fly Key Generation and Joins
2025
SIGMOD
4.9605343e-05
11,654
Partition, Don’t Sort! Compression Boosters for Cloud Data Ingestion Pipelines
2024
VLDB
4.9605343e-05
11,760
dsJSON: A Distributed SQL JSON Processor
2023
SIGMOD
4.9605343e-05
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.
Rank
Cited Paper
Year
Venue
Pagerank
15
How Good Are Query Optimizers, Really?
2016
VLDB
0.00061463175
23
Spark SQL: Relational Data Processing in Spark
2015
SIGMOD
0.00055523999
31
Hive - A Warehousing Solution Over a Map-Reduce Framework
2009
VLDB
0.00049707539
49
Dremel: Interactive Analysis of Web-Scale Datasets
2010
VLDB
0.00043085722
52
The Snowflake Elastic Data Warehouse
2016
SIGMOD
0.00041439488
141
Relational Databases for Querying XML Documents: Limitations and Opportunities
1999
VLDB
0.00029191386
161
DB2 with BLU Acceleration: So Much More than Just a Column Store
2013
VLDB
0.00027629724
165
Mining Frequent Patterns without Candidate Generation
2000
SIGMOD
0.00027323925
329
Storing Semistructured Data with STORED
1999
SIGMOD
0.00020888032
375
Umbra: A Disk-Based System with In-Memory Performance
2020
CIDR
0.00019660459
894
Data Blocks: Hybrid OLTP and OLAP on Compressed Storage using both Vectorization and Compilation
2016
SIGMOD
0.00013179915
1,072
NoDB: Efficient Query Execution on Raw Data Files
2012
SIGMOD
0.00012143482
1,753
Sinew: A SQL System for Multi-Structured Data
2014
SIGMOD
9.7119095e-05
1,937
Here are my Data Files. Here are my Queries. Where are my Results?
2011
CIDR
9.3333463e-05
1,942
Instant Loading for Main Memory Databases
2013
VLDB
9.3133693e-05
1,958
Quantifying TPC-H Choke Points and Their Optimizations
2020
VLDB
9.2894133e-05
2,342
Parallel In-Situ Data Processing with Speculative Loading
2014
SIGMOD
8.5978326e-05
2,356
Filter Before You Parse: Faster Analytics on Raw Data with Sparser
2018
VLDB
8.5715425e-05
2,437
Parallel Data Analysis Directly on Scientific File Formats
2014
SIGMOD
8.4576748e-05
2,446
Mison: A Fast JSON Parser for Data Analytics
2017
VLDB
8.4392802e-05
2,741
Speculative Distributed CSV Data Parsing for Big Data Analytics
2019
SIGMOD
8.0574455e-05
2,862
JSON Data Management – Supporting Schema-less Development in RDBMS
2014
SIGMOD
7.9096239e-05
3,510
Fast Queries Over Heterogeneous Data Through Engine Customization
2016
VLDB
7.2263115e-05
4,111
Automatic Generation of Normalized Relational Schemas from Nested Key-Value Data
2016
SIGMOD
6.7891131e-05
4,855
ReCache: Reactive Caching for Fast Analytics over Heterogeneous Data
2018
VLDB
6.3657929e-05
5,166
FAD.js: Fast JSON Data Access Using JIT-based Speculative Optimizations
2017
VLDB
6.2338839e-05
5,867
An LSM-based Tuple Compaction Framework for Apache AsterixDB
2020
VLDB
5.9486081e-05
7,712
STEED: An Analytical Database System for TrEE-structured Data
2017
VLDB
5.4561733e-05
8,983
FishStore: Faster Ingestion with Subset Hashing
2019
SIGMOD
5.2317424e-05
9,384
Management of Flexible Schema Data in RDBMSs - Opportunities and Limitations for NoSQL
2015
CIDR
5.1701116e-05
Semantically Similar Papers
#
Overall Rank
Paper
Year
Venue
1
1,753
Sinew: A SQL System for Multi-Structured Data
2014
SIGMOD
2
7,945
Scalable Structural Index Construction for JSON Analytics
2021
VLDB
3
1,608
SQLGraph: An Efficient Relational-Based Property Graph Store
2015
SIGMOD
4
11,760
dsJSON: A Distributed SQL JSON Processor
2023
SIGMOD
5
6,696
Semistructured Models, Queries and Algebras in the Big Data Era
2016
SIGMOD
6
7,479
Closing the functional and Performance Gap between SQL and NoSQL
2016
SIGMOD
7
3,362
JSON: Data model, Query languages and Schema specification
2017
PODS
8
4,111
Automatic Generation of Normalized Relational Schemas from Nested Key-Value Data
2016
SIGMOD
9
12,123
JSON Schema Matching: Empirical Observations
2020
SIGMOD
10
2,862
JSON Data Management – Supporting Schema-less Development in RDBMS
2014
SIGMOD