Open-Source DevOps · openGemini

openGemini

openGemini is an open-source, cloud-native distributed time-series database built in Go and maintained as a CNCF sandbox project. It is designed for high-performance storage and analysis of massive telemetry data with support for distributed cluster deployment, high cardinality data, and strong InfluxDB compatibility.

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Source: GitHub — github.com/openGemini/openGemini

1.2k

GitHub stars

175

Forks

Primary language

Apache-2.0

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	openGemini/openGemini
Owner	openGemini
Primary language	Go
License	Apache-2.0 — OSI-approved
Stars	1.2k
Forks	175
Open issues	121
Latest release	v1.5.2 (2026-01-12)
Last updated	2026-07-04
Source	https://github.com/openGemini/openGemini

What openGemini is

Written in Go with MPP (massively parallel processing) architecture, openGemini employs LSM-based storage, column-format data compression (up to 15:1 ratio), and automatic partitioning. It supports InfluxDB v1.x line protocol, InfluxQL, Prometheus remote read/write, and OpenTelemetry backend integration.

Quickstart

Get the openGemini source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/openGemini/openGemini.git2cd openGemini3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

IoT & Edge Telemetry Collection

High-cardinality sensor data ingestion at scale with KubeEdge integration; handles massive volumes of time-series metrics from distributed device networks with flexible partitioning by device or farm identifiers.

Prometheus Long-Term Storage & Observability Backend

Drop-in remote storage for Prometheus with PromQL support and remote read/write APIs; eliminates local storage constraints while maintaining query compatibility for monitoring and alerting workflows.

OpenTelemetry Metrics & Traces Backend

Native backend for cloud-native observability pipelines; simplified architecture for collecting and storing structured telemetry from microservices and containerized workloads at scale.

Implementation considerations

Requires Go 1.22+ and Python 3.7+ build environment; custom build flags for security hardening (stack protection, PIE, relro) should be retained in production.
Supports three measurement creation modes (implicit, explicit without partition key, explicit with shard key); partition strategy directly impacts query performance and must be planned during schema design.
Cluster deployment adds operational complexity; use provided gemix installer or openGemini-operator (Kubernetes) to reduce deployment friction.
InfluxDB v1.x protocol compatibility simplifies migration, but query dialect differences (InfluxQL vs. PromQL) require validation for existing tooling.
Data compression ratio (15:1) reduces storage cost but increases CPU during ingestion/query; monitor CPU and memory usage in pilot deployments.

When to avoid it — and what to weigh

Relational ACID Compliance Required — openGemini is purpose-built for time-series analytics, not transactional workloads. Multi-row ACID guarantees are not stated as a feature; unsuitable for financial records or strict consistency requirements.
Windows-Only Infrastructure — Build and deployment instructions provided for Linux/Unix environments with Go 1.22+ and Python 3.7+. No explicit Windows binary distribution or deployment tooling documented.
Need Fully Managed SaaS with SLA Guarantees — openGemini is self-hosted open-source software. Commercial support, managed hosting, and formal SLAs are not mentioned in provided data; requires internal ops resources or third-party support vendor.
Maturity-Critical Production Deployments Without Internal Expertise — Project is CNCF sandbox (not graduated). 121 open issues, 1.5 years of development. Requires internal Go/distributed systems expertise; not recommended without dedicated DevOps team or commercial support engagement.

License & commercial use

Licensed under Apache License 2.0, a permissive OSI-approved license. Full license text and third-party notices (Open_Source_Software_Notice.md) are provided in the repository.

Apache 2.0 permits commercial use, modification, and distribution with attribution and liability disclaimer. No proprietary restrictions on use. However, no commercial support, warranty, or SLA terms are stated in provided data. Organizations should assume self-support responsibility or seek third-party commercial support agreements separately.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Moderate
DEV.co fit	Good
Assessment confidence	High

Security considerations

Build process includes security-hardened compilation flags (stack protection, FORTIFY_SOURCE, PIE, relro, no-exec-stack). OpenSSF Best Practices badge indicates security process maturity. No documented security audit, threat model, or formal vulnerability disclosure policy provided. Distributed architecture requires network segmentation and TLS/mTLS configuration (not explicitly detailed in README). Operators must manage authentication/authorization at application layer; built-in auth mechanisms not described.

Alternatives to consider

InfluxDB v2.x/v3.x

Proprietary-adjacent with commercial licensing; more mature, broader ecosystem; single-vendor lock-in risk vs. openGemini's open-source model. Use if managed cloud service and formal support are non-negotiable.

VictoriaMetrics

Pure open-source time-series DB with strong Prometheus remote storage support and better single-node performance. Simpler architecture, fewer operational components, faster to deploy at small scale. Consider if distributed cluster setup is overkill.

Apache Druid / Timescale PostgreSQL

Druid excels at OLAP analytics; TimescaleDB adds time-series extensions to PostgreSQL. Use if SQL compliance, multi-dimensional queries, or hybrid relational + time-series workloads are required.

Software development agency

Build on openGemini with DEV.co software developers

Evaluate openGemini as a cost-effective, open-source alternative for Prometheus long-term storage or IoT telemetry ingestion. Start with a standalone pilot on your infrastructure, validate InfluxDB/PromQL compatibility, and plan cluster expansion. Contact a DevOps specialist to assess deployment complexity and operational fit for your organization.

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Related open-source tools

Surfaced by semantic similarity across the DEV.co open-source index.

opentelemetry-go prometheus VictoriaMetrics

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openGemini FAQ

Can I migrate existing InfluxDB workloads to openGemini?

Partial yes. openGemini supports InfluxDB v1.x line protocol, InfluxQL, and read/write APIs. However, test application queries and schema designs thoroughly; unsupported InfluxQL extensions or v2.x flux may require refactoring.

What is the minimum cluster size for production?

Not explicitly stated. Architecture docs and deployment guides should define minimum node counts for quorum/HA. Start with pilot deployment and monitor; no fixed minimum provided in README.

Is commercial support available?

Not mentioned in provided data. Community support via Slack and mailing list is available. Commercial support, managed hosting, or SLAs require external vendor engagement or custom negotiation with maintainers.

How does openGemini compare on cost vs. InfluxDB Cloud?

openGemini is self-hosted open-source (no per-metric or per-user licensing). Cost is mainly infrastructure + internal ops labor. InfluxDB Cloud has per-metric pricing. ROI depends on query volume, data retention, and team expertise; not a direct comparison without cost modeling.

Custom software development services

DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If openGemini is part of your open-source devops roadmap, our team can implement, customize, migrate, and maintain it.

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