CnosDB
A cloud-native open source distributed time series database.
Overview
CnosDB is a modern, open-source time-series database designed for the cloud-native era. It is written in Rust, which provides performance, safety, and concurrency. CnosDB is a distributed database with a shared-nothing architecture, making it highly scalable and available. It is designed for high performance in data ingestion and querying, and it offers a high data compression ratio to reduce storage costs. CnosDB is suitable for IoT, industrial internet, and IT monitoring applications.
✨ Key Features
- High-performance data ingestion and querying
- High data compression ratio
- Distributed architecture for scalability and high availability
- Cloud-native design with support for Kubernetes
- SQL-like query language
- Written in Rust for performance and safety
🎯 Key Differentiators
- Written in Rust for performance and memory safety
- Cloud-native architecture
- High data compression ratio
Unique Value: A modern, high-performance, and efficient open-source time-series database for the cloud-native era, built with the safety and speed of Rust.
🎯 Use Cases (4)
✅ Best For
- Storing and analyzing large volumes of time-series data in a cloud-native environment
💡 Check With Vendor
Verify these considerations match your specific requirements:
- Transactional workloads
- Storing non-time-series data
🏆 Alternatives
CnosDB aims to offer a more modern and efficient alternative to existing time-series databases, with a focus on cloud-native deployment and the benefits of being written in Rust.
💻 Platforms
✅ Offline Mode Available
🔌 Integrations
💰 Pricing
Free tier: CnosDB is open-source and free to use.
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