From 7cd6b0f04bc5e8353897701a59363efd1ec2d1fc Mon Sep 17 00:00:00 2001 From: dennis zhuang Date: Mon, 14 Apr 2025 14:45:24 +0800 Subject: [PATCH] docs: update readme (#5891) * docs: update readme * chore: format * docs: shorten * chore: title * fix: blank Co-authored-by: Lei, HUANG <6406592+v0y4g3r@users.noreply.github.com> --------- Co-authored-by: Lei, HUANG <6406592+v0y4g3r@users.noreply.github.com> --- README.md | 28 +++++++++++++++------------- 1 file changed, 15 insertions(+), 13 deletions(-) diff --git a/README.md b/README.md index 07da173117..912183f5bb 100644 --- a/README.md +++ b/README.md @@ -6,7 +6,7 @@

-

Unified & Cost-Effective Observerability Database for Metrics, Logs, and Events

+

Unified & Cost-Effective Observability Database for Metrics, Logs, and Events

@@ -62,7 +62,7 @@ ## Introduction -**GreptimeDB** is an open-source unified & cost-effective observerability database for **Metrics**, **Logs**, and **Events** (also **Traces** in plan). You can gain real-time insights from Edge to Cloud at Any Scale. +**GreptimeDB** is an open-source, cloud-native, unified & cost-effective observability database for **Metrics**, **Logs**, and **Traces**. You can gain real-time insights from Edge to Cloud at Any Scale. ## News @@ -70,27 +70,27 @@ ## Why GreptimeDB -Our core developers have been building observerability data platforms for years. Based on our best practices, GreptimeDB was born to give you: +Our core developers have been building observability data platforms for years. Based on our best practices, GreptimeDB was born to give you: -* **Unified Processing of Metrics, Logs, and Events** +* **Unified Processing of Observability Data** - GreptimeDB unifies observerability data processing by treating all data - whether metrics, logs, or events - as timestamped events with context. Users can analyze this data using either [SQL](https://docs.greptime.com/user-guide/query-data/sql) or [PromQL](https://docs.greptime.com/user-guide/query-data/promql) and leverage stream processing ([Flow](https://docs.greptime.com/user-guide/flow-computation/overview)) to enable continuous aggregation. [Read more](https://docs.greptime.com/user-guide/concepts/data-model). + A unified database that treats metrics, logs, and traces as timestamped wide events with context, supporting [SQL](https://docs.greptime.com/user-guide/query-data/sql)/[PromQL](https://docs.greptime.com/user-guide/query-data/promql) queries and [stream processing](https://docs.greptime.com/user-guide/flow-computation/overview) to simplify complex data stacks. + +* **High Performance and Cost-effective** + + Written in Rust, combines a distributed query engine with [rich indexing](https://docs.greptime.com/user-guide/manage-data/data-index) (inverted, fulltext, skip data, and vector) and optimized columnar storage to deliver sub-second responses on petabyte-scale data and high-cost efficiency. * **Cloud-native Distributed Database** Built for [Kubernetes](https://docs.greptime.com/user-guide/deployments/deploy-on-kubernetes/greptimedb-operator-management). GreptimeDB achieves seamless scalability with its [cloud-native architecture](https://docs.greptime.com/user-guide/concepts/architecture) of separated compute and storage, built on object storage (AWS S3, Azure Blob Storage, etc.) while enabling cross-cloud deployment through a unified data access layer. -* **Performance and Cost-effective** +* **Developer-Friendly** - Written in pure Rust for superior performance and reliability. GreptimeDB features a distributed query engine with intelligent indexing to handle high cardinality data efficiently. Its optimized columnar storage achieves 50x cost efficiency on cloud object storage through advanced compression. [Benchmark reports](https://www.greptime.com/blogs/2024-09-09-report-summary). + Access standardized SQL/PromQL interfaces through built-in web dashboard, REST API, and MySQL/PostgreSQL protocols. Supports widely adopted data ingestion [protocols](https://docs.greptime.com/user-guide/protocols/overview) for seamless migration and integration. -* **Cloud-Edge Collaboration** +* **Flexible Deployment Options** - GreptimeDB seamlessly operates across cloud and edge (ARM/Android/Linux), providing consistent APIs and control plane for unified data management and efficient synchronization. [Learn how to run on Android](https://docs.greptime.com/user-guide/deployments/run-on-android/). - -* **Multi-protocol Ingestion, SQL & PromQL Ready** - - Widely adopted database protocols and APIs, including MySQL, PostgreSQL, InfluxDB, OpenTelemetry, Loki and Prometheus, etc. Effortless Adoption & Seamless Migration. [Supported Protocols Overview](https://docs.greptime.com/user-guide/protocols/overview). + Deploy GreptimeDB anywhere from ARM-based edge devices to cloud environments with unified APIs and bandwidth-efficient data synchronization. Query edge and cloud data seamlessly through identical APIs. [Learn how to run on Android](https://docs.greptime.com/user-guide/deployments/run-on-android/). For more detailed info please read [Why GreptimeDB](https://docs.greptime.com/user-guide/concepts/why-greptimedb). @@ -233,3 +233,5 @@ Special thanks to all the contributors who have propelled GreptimeDB forward. Fo - GreptimeDB's query engine is powered by [Apache Arrow DataFusion™](https://arrow.apache.org/datafusion/). - [Apache OpenDAL™](https://opendal.apache.org) gives GreptimeDB a very general and elegant data access abstraction layer. - GreptimeDB's meta service is based on [etcd](https://etcd.io/). + +Known Users \ No newline at end of file