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| Developer(s) | Velox OSS Community |
|---|---|
| Initial release | 2022 |
| Repository | github |
| Written in | C++ |
| Operating system | Cross-platform |
| Type | Database |
| License | Apache License 2.0 |
| Website | velox-lib |
Velox is an open source composable execution engine written and distributed as a C++ library [1]. Velox provides reusable, high-performance, and extensible data processing components that can be used when building data management systems. Velox implements the execution engine layer as defined in the composable data stack [2] , and as such relies on clients (the engine using the library) to provide a language frontend, an optimizer, and an execution runtime environment. Engines integrate with Velox by providing an optimized query plan, and relying on Velox for its execution.
Velox was created by Meta in 2020 and open sourced in 2022 [3] [4]. It is today used to accelerate Presto (the Prestissimo project), Spark (using the Apache Gluten project [5]), Voltron Data's Theseus engine, and a series of other systems within Meta and across the industry.
- ^ Pedreira, Pedro; Erling, Orri; Basmanova, Masha; Wilfong, Kevin; Sakka, Laith; Pai, Krishna; He, Wei; Chattopadhyay, Biswapesh (2022). "Velox: Meta's Unified Execution Engine" (PDF). Proceedings of the VLDB Endowment. 48th International Conference on Very Large Databases. Sydney, Australia: VLDB Endowment. pp. 3372–3384. 10.14778/3554821.3554829.
- ^ Pedreira, Pedro; Erling, Orri; Karanasos, Konstantinos; Schneider, Scott; McKinney, Wes; Valluri, Satya; Zait, Mohamed; Nadeau, Jacques (2023). "The Composable Data Management System Manifesto" (PDF). Proceedings of the VLDB Endowment. 49th International Conference on Very Large Databases. Vancouver, Canada: VLDB Endowment. pp. 2150–8097. 10.14778/3603581.3603604.
- ^ "Introducing Velox: An open source unified execution engine". Engineering Blog at Meta. 2023. Retrieved 2024-11-11.
- ^ Timothy Morgan (2022). "Meta's Velox Means Database Performance Is Not Subject To Interpretation". The Next Platform. Retrieved 2024-11-11.
- ^ Shankaran, Akash; Gu, George; Chen, Weiting; Yang, Binwei; Kulkarni, Chidamber; Rambacher, Mark; Tatbul, Nesime; Cohen, David (2023). The Gluten Open-Source Software Project: Modernizing Java-based Query Engines for the Lakehouse Era (PDF). VLDB International Workshop on Composable Data Management Systems (CDMS'23). Vancouver, Canada. pp. 2150–8097.