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docs: update the description of greptimedb project (#3099)

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* docs: update the info of greptimedb project

* chore: move up SQL/PromQL
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dennis zhuang
2024-01-05 11:06:02 +08:00
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README.md
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@@ -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.
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 platform
for years. Based on their best-practices, GreptimeDB is born to give you:
Our core developers have been building time-series data platforms 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
- 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