From 702ea32538a99e2d163fb1fbd3e75b1ce4ec4232 Mon Sep 17 00:00:00 2001 From: dennis zhuang Date: Fri, 5 Jan 2024 11:06:02 +0800 Subject: [PATCH] docs: update the description of greptimedb project (#3099) * docs: update the info of greptimedb project * chore: move up SQL/PromQL --- README.md | 26 +++++++++++--------------- 1 file changed, 11 insertions(+), 15 deletions(-) diff --git a/README.md b/README.md index 415608ad3c83..9432620b5665 100644 --- a/README.md +++ b/README.md @@ -29,21 +29,17 @@ ## What is GreptimeDB -GreptimeDB is an open-source time-series database with a special focus on -scalability, analytical capabilities and efficiency. It's designed to work on -infrastructure of the cloud era, and users benefit from its elasticity and commodity -storage. - -Our core developers have been building time-series data platform -for years. Based on their best-practices, GreptimeDB is born to give you: - -- A standalone binary that scales to highly-available distributed cluster, providing a transparent experience for cluster users -- Optimized columnar layout for handling time-series data; compacted, compressed, and stored on various storage backends -- Flexible indexes, tackling high cardinality issues down -- Distributed, parallel query execution, leveraging elastic computing resource -- Native SQL, and Python scripting for advanced analytical scenarios -- Widely adopted database protocols and APIs, native PromQL supports -- Extensible table engine architecture for extensive workloads +GreptimeDB is an open-source time-series database focusing on efficiency, scalability, and analytical capabilities. +It's designed to work on infrastructure of the cloud era, and users benefit from its elasticity and commodity storage. + +Our core developers have been building time-series data platforms for years. Based on their best-practices, GreptimeDB is born to give you: + +- Optimized columnar layout for handling time-series data; compacted, compressed, and stored on various storage backends, particularly cloud object storage with 50x cost efficiency. +- Fully open-source distributed cluster architecture that harnesses the power of cloud-native elastic computing resources. +- Seamless scalability from a standalone binary at edge to a robust, highly available distributed cluster in cloud, with a transparent experience for both developers and administrators. +- Native SQL and PromQL for queries, and Python scripting to facilitate complex analytical tasks. +- Flexible indexing capabilities and distributed, parallel-processing query engine, tackling high cardinality issues down. +- Widely adopted database protocols and APIs, including MySQL, PostgreSQL, and Prometheus Remote Storage, etc. ## Quick Start