CupidDB
| File:CupidDB logo.png | |
| Stable release | v1.1.0
/ January 26, 2025 |
|---|---|
| Repository | github |
| Written in | Rust |
| Engine | |
| Operating system | Cross-platform |
| Type | Column oriented database |
| License | Apache License 2.0 |
| Website | cupiddb |
Search CupidDB on Amazon.
CupidDB is an open source in-memory columnar database designed for high performance and efficient data caching, particularly optimized for use cases involving large datasets such as Pandas DataFrames.[1] It was created to address the inefficiencies of traditional caching systems like Redis, particularly when it comes to filtering data on the server side, and sharing only the necessary portions of data with clients.
Overview
CupidDB is built with the goal of providing a faster, more efficient alternative to traditional caching systems. It allows clients to retrieve only the data they need from a cached dataset, dramatically reducing bandwidth consumption and client memory usage. CupidDB leverages the performance and safety of the Rust programming language, ensuring both speed and reliability.[2] Additionally, it uses the Apache Arrow columnar format to efficiently serialize and deserialize data, making communication between the server and clients lightning fast.
Clients
Name
The name "CupidDB" was inspired by the concept of the Apache Arrow format used in the database. Just as Cupid's arrows are metaphorically shot to clients, CupidDB transmits data in a fast and efficient manner, enabling clients to retrieve only the data they need. The name reflects the core function of the database: shooting data to clients as efficiently as possible.
References
- ↑ "CupidDB". cupiddb.github.io. Retrieved 2025-01-26.
- ↑ cupiddb/cupiddb, CupidDB, 2025-01-26, retrieved 2025-01-26
- ↑ cupiddb/pycupiddb, CupidDB, 2025-01-26, retrieved 2025-01-26
This article "CupidDB" is from Wikipedia. The list of its authors can be seen in its historical and/or the page Edithistory:CupidDB. Articles copied from Draft Namespace on Wikipedia could be seen on the Draft Namespace of Wikipedia and not main one.
