Alibaba Cloud Summit — Making a Data Warehouse that Integrates Distributed, Elastic Computing, and Cloud Computing

By Yuechang

Join us at the Alibaba Cloud Summit 2020 to learn more about our Cloud-Native Intelligent Database solutions!

As stated in Moore’s law, the cloud has become universal in the fourth technological revolution. As a result, the data surrounding and stored on the cloud has grown rapidly. By 2020, there will be 40 ZB of data in the world. In 2015, there was already 8.5 ZB of data produced, with China accounting for 22% of it. With the development and application of technologies, such as the cloud and with increasingly durable data, cloud computing, and big data analysis have become rocket-fuel for enterprises and business alike. These features are ensuring that businesses fulfill their resource potential. Industries have also used big data analysis platforms to expose serious problems in the realm of databases. These issues are a burden for real-time decision-making, system structure design, data processing, and storage.

What kind of big data analysis platforms do enterprises need?

1) High Performance

2) Real-Time

3) High Efficiency

Alibaba Cloud AnalyticDB — Next-Gen Cloud-Native Data Warehouse Service

Alibaba Cloud AnalyticDB integrates the advantages of distributed computing, elastic computing, and cloud computing. This new kind of data warehouse has made great breakthroughs in performance, real-time, efficiency, and scale. AnalyticDB supports parallel access on a larger scale, provides faster read and write capabilities, and implements smarter hybrid query and load management. It improves resource utilization and reduces costs, allowing users to focus more on business development and data value.

1) Ultra-large scale

2) Robust Performance

AnalyticDB refreshed the TPC-DS 10 TB performance results list once again and ranks #1 in the world for performance and costs. Compared with the world’s last leading database service, the Spark optimized version, the overall performance improved by 29%, and the unit cost is 1/3 of the price of Spark.

AnalyticDB refreshed the TPC-H 30 TB performance results for the first time and ranks #1 worldwide for performance and costs. Compared with the previous world record held by Microsoft SQL Server 2019, the comprehensive performance increased by 290%, and the unit cost is 1/4 of the price. It has become China’s first product to win the list.

3) Flexibility

4) Aggregate Computing and Analysis

Traditional data warehouse providers, such as open-source big data platforms like Hadoop, Hive, and Spark have seemingly formed a direct competitive relationship with AnalyticDB. Why are traditional data warehouse and BI increasingly becoming alienated? Why do people want to keep new data warehouses a secret?

Traditional data warehouses have left many bad impressions: being expensive, having low flexibility, and having troublesome O&M problems. Fortunately, AnalyticDB was released, using the cloud computing shell to justify the rationality of the existence of modern data warehouses. Will AnalyticDB become the ultimate form of a data warehouse? Let’s wait and see!

Learn more about AnalyticDB at

Join us at the Alibaba Cloud Summit 2020 to learn more about our Cloud-Native Intelligent Database solutions!

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