Alibaba Cloud Data Lake Analytics (DLA) is an interactive analytics service that utilizes serverless architecture. As a ready-to-use service, DLA does not require any prior setup of infrastructure or upfront management costs. You do not need to maintain instances in DLA, and service is billed based on actual use and needs. DLA uses SQL interfaces to interact with user service clients, which means it complies with standard SQL syntax and provides a variety of similiar functions. DLA allows you to retrieve and analyze data from multiple data sources or locations such as OSS and Table Store for optimatimal data processing, analytics, and visualizualization to give better insights and ultimately guide better decision making.
Designed as a ready-to-use service, DLA does not require any prior infrastructure setup or upfront management costs. Upgrades to DLA can be performed with zero service downtime. DLA also supports elastic scaling to ensure service quality.
- Low Learning Curve
Complies with standard SQL databases and supports a variety of functions such as JDBC and ODBC protocols and BI tools.
- Multi Data Sources
Supports multiple data sources. For example, you can perform relational analysis based on OSS and Table Store.
- High-performance Analytics
Leverages Alibaba Cloud's XIHE analytics engine and applies Massive Massive Parallel Processing (MPP) to achieve high compression, high scalability, and high availability for end users.