Amazon Timestream
Serverless time-series database for IoT, metrics, and operational telemetry
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
High-performance distributed time-series database for IoT and observability
CnosDB is a Rust-based distributed time-series database optimized for IoT, industrial internet, and IT operations with high compression, standard SQL support, and cloud-native architecture.
CnosDB is a distributed time-series database designed for high-cardinality data in IoT, industrial internet, connected vehicles, and IT operations. Written in Rust, it leverages the inherent characteristics of time-series data—structured, write-heavy, minimal updates—to deliver exceptional performance and compression.
The platform features native distributed design with separation of storage and compute, data sharding, and horizontal scalability. Deploy on public, private, or hybrid clouds with Kubernetes support. Multi-tenancy and role-based access control enable secure, isolated workloads. The Quorum mechanism ensures eventual consistency across nodes.
CnosDB supports standard SQL queries, schema-less writes, and out-of-order data ingestion for historical backfill. Aggregate queries along timelines include equal-interval grouping and enumeration-based partitioning. Integration with Telegraf, InfluxDB line protocol, and Prometheus remote read provides compatibility with existing observability stacks. A configurable cache layer accelerates access to recent data, while bulk loading handles high-volume imports efficiently.
When teams consider CnosDB, these hosted platforms usually appear on the same shortlist.
Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.
IoT Sensor Network Monitoring
Ingest millions of sensor readings per second with automatic compression, query historical trends via SQL, and cache recent values for real-time dashboards.
Industrial Equipment Predictive Maintenance
Store years of machine telemetry, perform timeline-based aggregations to detect anomalies, and backfill historical data without disrupting live ingestion.
Connected Vehicle Fleet Analytics
Handle irregular GPS and diagnostic data from thousands of vehicles, scale storage and compute independently, and integrate with existing Telegraf pipelines.
Multi-Tenant SaaS Observability Platform
Isolate customer metrics with RBAC, deploy across hybrid cloud regions, and expose Prometheus-compatible endpoints for seamless Grafana integration.
CnosDB runs on Linux x86 (x86_64-unknown-linux-gnu) and Darwin ARM (aarch64-apple-darwin). Docker images are available for simplified deployment.
Yes, CnosDB provides standard SQL support for queries, including aggregate functions and timeline-based grouping. It also supports InfluxDB line protocol for writes and Prometheus remote read for queries.
Yes, CnosDB supports schema-less writing and out-of-order data ingestion, enabling historical data backfill without impacting current operations.
CnosDB features a distributed architecture with separation of storage and compute, data sharding, and horizontal scaling of both compute and storage nodes. It supports Kubernetes deployment for cloud-native orchestration.
CnosDB accepts data via SQL INSERT statements, InfluxDB line protocol, bulk loading, and Telegraf integration. This flexibility supports diverse data sources and migration scenarios.
Project at a glance
ActiveLast synced 4 days ago
