greptimedb-observability-platform

Cloud-Native Database for Real-Time Observability Insights
(Metrics, Event Streams, and Traces Unified)

Achieves sub-second query latency across Petabyte-scale datasets, offering superior operational economics from decentralized edge nodes to centralized cloud infrastructure.

• Overview
• ⭐ Core Capabilities
• Comparative Summary
• System Topology
• Access Options
• Initiation Guide
• Source Compilation Instructions
• Ecosystem Components
• Project Maturity Level
• Community Engagement
• Legal Terms
• Enterprise Assistance
• Contribution Framework
• Attributions

Introduction

GreptimeDB stands as an open-source, distributed data management solution explicitly engineered for the integrated ingestion and analytical processing of observability telemetry data (encompassing time-series metrics, operational logs, and distributed traces). It furnishes operational teams with the capability to derive instantaneous insights from data streams, irrespective of whether the deployment resides at the network edge, within a private data center, or across multi-cloud environments, consolidating these functions into a singular, cohesive platform.

Core Capabilities

Capability Feature	Detailed Explanation
Holistic Data Ingestion	Structure metrics, logs, and traces as time-annotated, context-rich records. Query mechanisms include full SQL, declarative PromQL, and advanced streaming operations.
Optimized Performance & Value	Developed in the Rust programming language, leveraging a distributed query execution planner, advanced data indexing, and columnar storage formats to yield sub-second query times at Petabyte capacities.
Modern Infrastructure Design	Architected for container orchestration systems like Kubernetes, featuring independent scaling of computation and storage layers, direct integration with object storage backends (e.g., AWS S3), and universal cross-platform data accessibility.
Developer Accessibility	Offers multiple connection vectors: native SQL/PromQL endpoints, a comprehensive RESTful API layer, compatibility with common database protocols (MySQL/PostgreSQL wire protocols), and native support for various data ingestion formats.
Deployment Versatility	Supports deployment across diverse geographical footprints—from resource-constrained edge devices (including ARM architectures/Android) to large-scale cloud deployments, all unified under identical API specifications and efficient data synchronization.

Further exploration available in Rationale for GreptimeDB and the editorial piece on Observability 2.0 and Its Database Foundation.

Comparative Summary

Criterion	GreptimeDB	Conventional Time-Series DBs	Log Management Systems
Data Model Support	Metrics, Logs, Traces	Primarily Metrics	Exclusively Logs
Query Language	SQL, PromQL, Streaming	Custom DSLs or PromQL limited	Specialized DSLs
Operational Footprint	Edge & Cloud Native	Cloud or On-Prem Focus	Primarily Centralized
Performance/Indexing Baseline	PB-Scale, Instantaneous	Highly Variable	Highly Variable
Interoperability/Interfaces	REST, SQL, Standard Protocols	Limited Interfacing	Limited Interfacing

Performance Validation: * GreptimeDB achieves benchmark superiority in billion-record cold run tests on JSONBench! * Time-Series Benchmark Suite Results

Review additional performance comparisons for deeper insights.

System Topology

• Consult the Architecture Specification document for structural details.
• DeepWiki offers an exhaustive schematic review of the GreptimeDB internal framework:

Access Options

1. Interactive Web Playground

Test drive GreptimeDB functionality immediately within a web browser interface.

2. GreptimeCloud Managed Offering

Provision a complimentary, fully managed cluster instantly.

3. Docker Container (Local Rapid Deployment)

shell docker pull greptime/greptimedb

shell docker run -p 127.0.0.1:4000-4003:4000-4003 \ -v "$(pwd)/greptimedb_data:/greptimedb_data" \ --name greptime --rm \ greptime/greptimedb:latest standalone start \ --http-addr 0.0.0.0:4000 \ --rpc-bind-addr 0.0.0.0:4001 \ --mysql-addr 0.0.0.0:4002 \ --postgres-addr 0.0.0.0:4003

Operational Monitoring Interface: http://localhost:4000/dashboard Comprehensive Installation Guide

Diagnostic Notes for Connectivity Issues: * Connectivity failure? Verify that host ports 4000, 4001, 4002, and 4003 are accessible and not currently bound by other local services or firewall rules. * Startup failure? Examine the container output using docker logs greptime for specific error reporting.

Initiation Guide

• Rapid Deployment Tutorial
• Comprehensive User Manual
• Example Use Cases Repository
• Frequently Asked Questions Index

Source Compilation Instructions

Mandatory Prerequisites: * Current Rust toolchain (requiring nightly features). * Protocol Buffer compiler tool (protoc) version (must be >= 3.15). * Standard C/C++ build environment tools (e.g., gcc/g++/autoconf) and core system libraries (like libc6-dev for Debian-based systems or glibc-devel for Fedora). * Python environment (optional): Only needed for specific automated testing routines.

Building and Execution: bash make cargo run -- standalone start

Ecosystem Components

• Orchestration: GreptimeDB Kubernetes Operator
• Deployment Packaging: Greptime Helm Chart Repository
• User Interface: Web Visualization Component
• Data Ingestion Libraries: Go, Java, C++, Erlang, Rust, JavaScript/NodeJS
• Visualization Integration: Official Grafana Dashboards

Project Maturity Level

Current State: Beta Release Candidate. General Availability (v1.0): Anticipated for Mid-2025.

• Actively validated in production environments by initial adopter organizations.
• Maintained for stability, with consistent release cadence (Version Chronology).
• Appropriate for thorough evaluation and proof-of-concept deployments.

For mission-critical operations, it is advised to utilize the most recent production-stabilized package.

Your endorsement via a ⭐ on the repository is greatly appreciated if you find this technology valuable!

Community Engagement

We actively encourage participation and collaborative development!

• Instant Messaging Support (Slack)
• Feature/Bug Discussion Forum
• Official Project Web Portal
• Technical Blog Feed
• Professional Networking Page (LinkedIn)
• Short-form Updates (X)
• Video Content Channel

Legal Terms

GreptimeDB is distributed under the permissive terms of the Apache License, Version 2.0.

Enterprise Assistance

Is your enterprise deploying GreptimeDB at scale? We offer specialized corporate additions, dedicated professional services, technical training sessions, and consultancy engagements. Initiate Contact Here for detailed service offerings.

Contribution Framework

• Review the official Contribution Guidelines Document.
• Familiarize yourself with the Internal System Concepts and the DeepWiki Reference.
• Look for issues tagged as good first issue to begin contribution. Join the #contributors channel on Slack for immediate guidance.

Attributions

Sincere appreciation extended to the maintainers and contributors listed in AUTHORS.md.

• The memory layout leverages the Apache Arrow™ Standard.
• Persistent storage utilizes the Apache Parquet™ format.
• The execution engine is powered by Apache Arrow DataFusion™.
• Data access abstraction layer is implemented via Apache OpenDAL™.