Mach: A Pluggable Metrics Storage Engine for the Age of Observability
Summary: Mach: a pluggable, RocksDB-style metrics storage engine tailored to observability workloads; its lean, loosely-coordinated design exploits metrics semantics (append-heavy, high-cardinality, short retention) to optimize ingestion and query paths. Preliminary results: ~10× write and ~3× read throughput vs popular TSDBs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Franco Solleza (Brown University)
- 2. Andrew Crotty (Brown University; Carnegie Mellon University)
- 3. Suman Karumuri (Slack Technologies)
- 4. Nesime Tatbul (Intel; Massachusetts Institute of Technology)
- 5. Stan Zdonik (Brown University)
BibTeX Citation
@inproceedings{solleza_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{Mach: A Pluggable Metrics Storage Engine for the Age of Observability}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Solleza, Franco and Crotty, Andrew and Karumuri, Suman and Tatbul, Nesime and Zdonik, Stan},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,758 | Dynamic read & write optimization with TurtleKV | 2026 | VLDB | 4.9793485e-05 |
| 11,642 | Mach: Firefighting Time-Critical Issues in Complex Systems Using High-Frequency Telemetry | 2024 | VLDB | 4.9793485e-05 |
| 11,710 | ForestTI: A Scalable Inverted-Index-Oriented Timeseries Management System with Flexible Memory Efficiency | 2023 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 48 | Weaving Relations for Cache Performance | 2001 | VLDB | 0.00043805923 |
| 71 | DuckDB: an Embeddable Analytical Database | 2019 | SIGMOD | 0.00037720227 |
| 148 | Gorilla: A Fast, Scalable, In-Memory Time Series Database | 2015 | VLDB | 0.0002900671 |
| 672 | The TileDB Array Data Storage Manager | 2017 | VLDB | 0.0001489638 |
| 1,236 | Druid: A Real-time Analytical Data Store | 2014 | SIGMOD | 0.00011402848 |
| 2,919 | Monarch: Google’s Planet-Scale In-Memory Time Series Database | 2020 | VLDB | 7.8548399e-05 |
| 3,140 | DeepSqueeze: Deep Semantic Compression for Tabular Data | 2020 | SIGMOD | 7.6023603e-05 |
| 3,382 | Timon: A Timestamped Event Database for Efficient Telemetry Data Processing and Analytics | 2020 | SIGMOD | 7.3559487e-05 |
| 6,449 | Heracles: An Efficient Storage Model and Data Flushing for Performance Monitoring Timeseries | 2021 | VLDB | 5.7819723e-05 |
| 13,748 | Cloud Observability: A MELTing Pot for Petabytes of Heterogenous Time Series | 2021 | CIDR | - |
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