Data Lake Analytics

Data Lake Analytics does not require any ETL tools. This service allows you to use standard SQLs and business intelligence (BI) tools to efficiently analyze your data stored in the cloud with extremely low costs.

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 visualization to give better insights and ultimately guide better decision making.

Why Tracing Analysis

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.

Features

  • Server-less Big Data Analytics

    Cost Efficiency

    DLA is billed based on actual usage, and you do not need to maintain instances. This means the service does not require long-term investment on data analysis.

    Upgrade with Zero Service Downtime

    Based on serverless architecture, you can upgrade DLA with zero service downtime for more agile and rapid product iteration.

  • Security and Reliability

    Secured Network

    Fully secured and logically isolated service based on Virtual Private Cloud (VPC) technology

    Fine-grained Access Control

    Comprehensive authorization mechanism based on RAM/STS systems, scalable cryptographic key management based on Key Management Service (KMS)

  • Multisource Analytics

    Built-in ETL

    Transparent access to multiple data sources, including but not limited to object storage, NoSQL, RDBMS, with a unified user interface and ANSI SQL syntax

    Multisource Data Federation

    Cloud native analytics across multiple data sources: OSS, PostgreSQL, MySQL, NoSQL(Table Store), etc.

  • Cloud Native Ecosystem

    Support for MySQL Clients

    Support MySQL client tools such as MySQL Workbench, DBeaver, etc.

    Support for BI Products

    Tightly integrated with QuickBI, Tableau, DataV, etc.

    ANSI SQL Compatibility

    Fully compatible with ANSI SQL:2003 syntax, comprehensive function support

Typical scenarios

  • Table Store Data Analysis
  • Support for Heterogeneous Data Sources
Data Analysis with OSS

Data Analysis with OSS

Enables you to analyze data stored in OSS.

DLA allows you to create tables, query raw data stored in OSS, and then display the query results through Quick BI.

Benefits

  • Quick Analysis

    You can quickly obtain analysis results without building any analysis platform.

  • OSS Data Analysis

    You can analyze infrequently used data (cold data) without the need to use ETL tools.

Table Store Data Analysis

Table Store Data Analysis

Enables you to analyze data stored in Table Store in real time.

DLA offers an efficient and easy process for you to analyze large amounts of data stored in Table Store.

Benefits

  • Quick Analysis

    You can quickly obtain analysis results without building any analysis platform.

  • OSS Data Analysis

    You can analyze cold data without the need to use ETL tools.

Support for Heterogeneous Data Sources

Support for Heterogeneous Data Sources

You can analyze data stored in Table Store and OSS.

DLA supports heterogeneous data sources. It also enables you to perform association analysis by interworking with OSS and Table Store.

Benefits

  • Association Analysis

    Supports association analysis by interworking with OSS and Table Store.

  • Heterogeneous Data Analysis

    Enables you to analyze heterogeneous data.