Overview

• Why GreptimeDB: This document outlines the features and benefits of GreptimeDB, including its unified design for metrics, logs, and events; Cloud-Native and flexible architecture that allows for deployment in various environments, from embedded to cloud. GreptimeDB is also cost-effective, high-performance, and user-friendly.
• Data Model: This document describes the data model of GreptimeDB, including table schema, time index constraint, etc.
• Architecture: Get the cloud-native architecture of GreptimeDB.
• Storage Location: This document describes the storage location of GreptimeDB, including local disk, HDFS, and cloud object storage such as S3, Azure Blob Storage, etc.
• Key Concepts: This document describes the key concepts of GreptimeDB, including table, time index, table region and data types.
• Features that You Concern: Describes some features that may be concerned about a unified metrics, logs & events database.

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Get GreptimeDB roadmap and architecture design from blog posts:

• This Time, for Real - GreptimeDB is Now Open Source
• Unifying Logs and Metrics
• GreptimeDB Internal Design — Distributed, Cloud-native, and Enhanced Analytical Ability for Time Series
• GreptimeDB Storage Engine Design - Catering to Time Series Scenarios