Realtime Compute for Apache Flink offers a one-stop, high-performance platform that enables real-time big data processing based on Apache Flink. It is widely used in diverse scenarios, such as streaming data processing, offline data processing, and data lake computing. With Realtime Compute for Apache Flink, you can process and analyze big data in real time for business insights and decision making.
It's the only product around the world that provides key computing services for Alibaba Group to process large amounts of data during the Tmall Double Eleven Global Shopping Festival.
Support for Batch Processing and Stream Processing
Uses the same engine and APIs for batch processing and stream processing, which simplifies development.
Ten times higher than open-source Apache Flink, and five to ten times higher than Apache Spark for some performance metrics.
Resolves a wide range of issues that involve Flink, with the expertise of Apache Flink committers.
Ultra-High Performance - Features high throughput and scalability
Significantly improves the SQL in the Apache Flink community, with the throughput for a job reaching millions of data records per second and the data processing delay reduced to the second level.
Stable and Secure - Uses exactly-once semantics, achieves automatic fault recovery, and isolates resources
Uses exactly-once semantics to ensure that no duplicate data is processed and no data goes unprocessed, runs computations based on distributed clusters to enable automatic fault recovery, and isolates compute resources between tenants to prevent negative effects on each other.
Easy to Use - Supports SQL, online development, and user-defined extensions (UDXs)
Supports standard SQL, which helps you reduce training costs, quickly get started, and focus on your business logic; offers a fully managed online development platform that integrates development, debugging, and administration of stream processing jobs; provides a wide variety of coding assistance features, such as online debugging, intelligent code completion, and online administration.
Powerful Functions - Offers a one-stop platform for you to handle issues involving real-time and offline data processing
Supports SQL to implement real-time and offline data cleansing, data analysis, data synchronization, computations over disparate data sources, and features of a data lake; allows you to perform association queries on streaming data and static data.
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