Back to papers
ModelarDB: Modular Model-Based Time Series Management with Spark and Cassandra
Summary: Introduces ModelarDB, a modular TSMS storing time series as models for fast ingestion, compression, and online queries. Provides adaptive multi-model compression within error bounds, predicate pushdown to a key-value store, and code-generated projections on Spark/Cassandra, with graceful degradation under outliers.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 11653
- Venue
- VLDB
- Year
- 2018
- Pagerank
- 9.1432785e-05
- Overall Rank
- 2,274 | 84.20%
- DOI
-
10.14778/3236187.3236215
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 15 of 15 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 2,070 |
Chimp: Efficient Lossless Floating Point Compression for Time Series Databases |
2022 |
VLDB |
9.6331032e-05 |
| 3,288 |
Monarch: Google’s Planet-Scale In-Memory Time Series Database |
2020 |
VLDB |
7.2680967e-05 |
| 3,801 |
Plato: Approximate Analytics over Compressed Time Series with Tight Deterministic Error Guarantees |
2020 |
VLDB |
6.7528979e-05 |
| 3,971 |
Apache IoTDB: A Time Series Database for IoT Applications |
2023 |
SIGMOD |
6.5733348e-05 |
| 4,389 |
Elf: Erasing-based Lossless Floating-Point Compression |
2023 |
VLDB |
6.2197225e-05 |
| 7,392 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
4.737456e-05 |
| 9,149 |
Serf: Streaming Error-Bounded Floating-Point Compression |
2025 |
SIGMOD |
4.380727e-05 |
| 9,914 |
Camel: Efficient Compression of Floating-Point Time Series |
2024 |
SIGMOD |
4.2520778e-05 |
| 10,393 |
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,609 |
Less is More: Efficient Time Series Dataset Condensation via Two-fold Modal Matching |
2025 |
VLDB |
4.1905499e-05 |
| 10,622 |
QPET: A Versatile and Portable Quantity-of-Interest-Preservation Framework for Error-Bounded Lossy Compression |
2025 |
VLDB |
4.1905499e-05 |
| 10,682 |
Improving Time Series Data Compression in Apache IoTDB |
2025 |
VLDB |
4.1905499e-05 |
| 10,940 |
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation |
2024 |
SIGMOD |
4.1905499e-05 |
| 11,136 |
Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB |
2024 |
VLDB |
4.1905499e-05 |
| 13,307 |
Demonstration of ModelarDB: Model-Based Management of Dimensional Time Series |
2019 |
SIGMOD |
- |
Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 8,098 |
Modularis: Modular Relational Analytics over Heterogeneous Distributed Platforms |
2021 |
VLDB |
4.5824106e-05 |
| 10,391 |
In-Database Time Series Clustering |
2025 |
SIGMOD |
4.1905499e-05 |
| 4,828 |
Managing Massive Time Series Streams with Multi-Scale Compressed Trickles |
2009 |
VLDB |
5.8890363e-05 |
| 10,682 |
Improving Time Series Data Compression in Apache IoTDB |
2025 |
VLDB |
4.1905499e-05 |
| 8,991 |
TSM-Bench: Benchmarking Time Series Database Systems for Monitoring Applications |
2023 |
VLDB |
4.4113784e-05 |
| 9,682 |
Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems |
2023 |
VLDB |
4.3006524e-05 |
| 7,392 |
MOST: Model-Based Compression with Outlier Storage for Time Series Data |
2023 |
SIGMOD |
4.737456e-05 |
| 11,136 |
Scalable Model-Based Management of Massive High Frequency Wind Turbine Data with ModelarDB |
2024 |
VLDB |
4.1905499e-05 |
| 10,799 |
Demonstration of ModelarDB: Model-Based Management of High-Frequency Time Series Across Edge, Cloud, and Client |
2025 |
VLDB |
4.1905499e-05 |
| 13,307 |
Demonstration of ModelarDB: Model-Based Management of Dimensional Time Series |
2019 |
SIGMOD |
- |