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.
Scalable, high-performance time-series DB for massive telemetry
openGemini delivers cloud-native, distributed storage and analysis of massive telemetry data with high performance, scalability, high-cardinality handling, and native compatibility with InfluxDB tools.
openGemini is a cloud-native distributed time-series database designed for massive telemetry workloads. It combines an LSM-based storage engine with automatic time-based partitioning, delivering sub-millisecond write latency and fast query response even at high cardinality.
The MPP architecture lets you scale horizontally by adding nodes, while the columnar format and dedicated compression achieve up to 15:1 storage reduction. openGemini natively understands InfluxDB v1.x line protocol, InfluxQL, and Prometheus remote write/read, enabling seamless integration with existing observability toolchains. Deployment is flexible: you can run a single-node instance, a clustered setup on VMs or bare metal, or use the openGemini-operator for one-click Kubernetes installation, with the gemix tool simplifying standalone installs.
Target users include DevOps engineers, IoT platform developers, and observability teams that require real-time analytics on high-cardinality metrics. By providing native PromQL support and OpenTelemetry ingestion, openGemini fits into modern cloud-native monitoring stacks while offering the performance needed for large-scale data pipelines.
When teams consider openGemini, 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.
Industrial sensor data collection
Ingest millions of sensor readings per second with sub-10 ms query latency, enabling real-time monitoring and anomaly detection.
Kubernetes cluster monitoring
Store Prometheus remote write data, query with PromQL, and visualize metrics without additional storage layers.
Edge device telemetry aggregation
Leverage KubeEdge integration to sync edge data to a central openGemini cluster for unified analysis.
OpenTelemetry backend for microservices
Capture distributed traces and metrics, persisting them efficiently for downstream observability pipelines.
It uses an LSM-based storage engine with a high-cardinality columnar format and dedicated compression algorithms.
Yes, it supports InfluxDB v1.x line protocol, InfluxQL, and the same read/write APIs, allowing reuse of familiar tooling.
Through a Massively Parallel Processing (MPP) architecture that lets you add nodes to a cluster for linear performance growth.
Yes, the openGemini-operator provides one-click container deployment on Kubernetes, and the gemix tool supports standalone installations.
It is released under the Apache-2.0 license.
Project at a glance
ActiveLast synced 4 days ago
