Amoro builds lake-native data warehouse and architecture for users, platforms and products
![](https://cdn.statically.io/img/amoro.apache.org//img/home-content.png)
Key Features
![](https://cdn.statically.io/img/amoro.apache.org/img/Self-managed.png)
Continuously optimizing tables, including compacting small files, change files, regularly delete expired files to keep high query performance and reducing storage costs.
![](https://cdn.statically.io/img/amoro.apache.org/img/Multiple-Formats.png)
Support different table formats such as Iceberg, Paimon, Mixed-Iceberg and Mixed-Hive to meet different scenario requirements and provide them with unified management capabilities.
![](https://cdn.statically.io/img/amoro.apache.org/img/Catalog-Service.png)
Provide an unified catalog service for all computing engines, which can also used with existing metadata store service such as Hive Metastore and AWS Glue.
![](https://cdn.statically.io/img/amoro.apache.org/img/Rich-Plugins.png)
Provide various plugins to integrate with other systems, like continuously optimizing with Flink and data analysis with Spark and Kyuubi.
![](https://cdn.statically.io/img/amoro.apache.org/img/Management-tools.png)
Provide a variety of management tools, including WEB UI and standard SQL command line, to help you get started faster and integrate with other systems more easily.
![](https://cdn.statically.io/img/amoro.apache.org/img/Infrastructure-Idependent.png)
Can be easily deployed and used in private environments, cloud environments, hybrid cloud environments, and multi-cloud environments.