---
keywords: [GreptimeDB, features, data model, architecture, storage locations, key concepts]
description: Provides an overview of GreptimeDB, including its features, data model, architecture, storage locations, key concepts, and notable features.
---

# Concepts

- [Why GreptimeDB](./why-greptimedb.md): This document outlines the features and benefits of GreptimeDB, including its unified design for metrics, logs, and traces; 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](./data-model.md): This document describes the data model of GreptimeDB, including table schema, time index constraint, etc.
- [Architecture](./architecture.md): Get the cloud-native architecture of GreptimeDB.
- [Storage Location](./storage-location.md): 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](./key-concepts.md): This document describes the key concepts of GreptimeDB, including table, time index, table region and data types.
- [Features that You Concern](./features-that-you-concern.md): Describes some features that may be concerned about a unified metrics, logs & events database.

## Read More

Get GreptimeDB roadmap and architecture design from blog posts:

- [This Time, for Real - GreptimeDB is Now Open Source](https://greptime.com/blogs/2022-11-15-this-time-for-real)
- [Unifying Logs and Metrics](https://greptime.com/blogs/2024-06-25-logs-and-metrics)
- [GreptimeDB Internal Design — Distributed, Cloud-native, and Enhanced Analytical Ability for Time Series](https://greptime.com/blogs/2022-12-08-GreptimeDB-internal-design)
- [GreptimeDB Storage Engine Design - Catering to Time Series Scenarios](https://greptime.com/blogs/2022-12-21-storage-engine-design)
