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 similar functions. DLA allows you to retrieve and analyze data from multiple data sources or locations such as OSS and Table Store for optimal data processing, analytics, and visualization to give better insights and ultimately guide better decision making.
- Serverless Designed as a ready-to-use service, DLA does not require any prior setup of infrastructure facilities, or incur massive upfront management costs. Upgrades to DLA can be performed with zero service downtime. DLA also supports elastic scaling to ensure the quality of services.
- Database-like User Experience Complies with standard SQLs and supports a variety of functions, including JDBC and ODBC protocols and BI tools.
- Data Federation Cloud native federation analytics across multiple data sources: OSS, PostgreSQL, MySQL (RDS), NoSQL (Table Store), etc.
- High-performance Analysis Engine Leverages the new generation analysis engine XIHE and applies MPP and DAG technology to achieve high compression ratio, high scalability, and high availability.