This topic describes real-time data APIs and their functions.
- Real-time data business flow.In real-time data scenarios, a common workflow is to collect data in real time, perform initial cleansing using real-time computing, write the data to a database in real time, and then connect to Business Intelligence (BI) tools for visual analytics.
- Pain points in real-time data services.
The entire process of handling real-time data requires a database that provides high-performance computing services, stores massive amounts of data, and connects to various BI tools. Because a single database can rarely perform all these functions, you must use other databases to complete the business flow.
Using other databases creates redundant storage from data import and export operations. This wastes storage resources. You also need to maintain multiple systems, which increases the complexity of development and operations and maintenance (O&M).
- Introduction to real-time data APIs.To solve the pain points in real-time scenarios, Hologres provides real-time data APIs. These APIs allow you to directly write business and log data in real time. Hologres then provides high-performance computing and massive data storage services.
In this business trace, you do not need to import or export data. The written data is stored centrally in Hologres. This eliminates redundant storage and saves computing and storage resources. A single system meets your various needs, which saves development and O&M costs.