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Realtime Compute for Apache Flink

Transform your streaming process with Realtime Compute for Apache Flink.
The fully managed, cloud-native, serverless Apache Flink® service on Alibaba Cloud.

Latest Buzz

Latest Features

Materialized tables to streamline batch and streaming data pipelines

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Latest Blog

The Past, Present, and Future of Apache Flink

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On-demand Recordings

Recording for Flink Forward Asia Jakarta 2024

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Latest Features

Connect your databases with Flink CDC

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Latest Blog

Apache Paimon: Streaming Lakehouse is Coming

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Latest Blog

Flink CDC 3.0| A Next-generation Real-time Data Integration Framework

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High-performance Platform For Realtime Integration, Compute, and Storage

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

Support for Batch Processing and Stream Processing

Uses the same engine and APIs for batch processing and stream processing, which simplifies development.

Ultra-High Performance

Ultra-High Performance

Ten times higher than open-source Apache Flink, and five to ten times higher than Apache Spark for some performance metrics.

Cutting-Edge Technology

Cutting-Edge Technology

Resolves a wide range of issues that involve Flink, with the expertise of Apache Flink committers.

Features

Real-Time Processing with Stream-Batch Integration
Blends real-time stream processing and batch processing, so you can clean, analyze, and sync your data effortlessly with SQL and manage data management with ease.
Ultra-High Performance: Features High Throughput and Scalability
Improves Flink SQL in the Apache Flink community, with the throughput for a job up to millions of data records per second and the data processing delay down to seconds.
Stable and Secure: Uses Exactly-once Semantics, Achieves Automatic Fault Recovery, and Isolates Resources
Ensures no duplicate data is processed and no data goes unprocessed with exactly-once semantics, enables automatic fault recovery based on distributed clusters, and secures data and operations by isolating compute resources between tenants.
Streamlined Efficiency: Our Serverless, Fully Managed Service
Unlocks peak performance with a serverless architecture designed for efficient, high-scale stream processing, and provides high elasticity so you can scale your business flexibly to meet complex demands.

Use Cases

Real-time Data Warehousing

Elevate your business with a digital operational system that tracks key metrics in real-time, providing a visual snapshot of your production and operations. Make informed decisions with instant access to real-time data insights.

Real-time ETL

Seamlessly integrate data from various sources using our fully managed service, empowering your enterprise to build a robust data foundation effortlessly.

Real-time Risk Management

Safeguard your business from fraud and risks with real-time detection capabilities. Our solution helps you identify anomalies and mitigate potential losses, ensuring peace of mind for your operations.

Real-time Monitoring

Simplify your monitoring processes with efficient state management and advanced alert configurations. Stay ahead of issues and reduce maintenance costs with our comprehensive monitoring platform.

Real-time Recommendations

Delight your users with personalized recommendations based on real-time analysis of their behavior. Boost engagement and retention with tailored content and offerings.

Real-time IoT Insights

Harness the power of real-time data analysis to optimize IoT device performance and predict outcomes. Stay proactive with instant alerts and predictive maintenance, maximizing efficiency and productivity.

Industry Solutions

Product Updates

  • 2024-12-20   New Features
    Materialized tables  
  • 2024-9-11   New Features
    Integration with Data Lake Formation (DLF) 2.0  
  • 2024-7-22   New Features
    Ververica Runtime (VVR) 8.0.8 release  
  • 2024-5-29   Experience Enhancements
    Enhanced MySQL connector  
  • 2024-12-20   New Features
    Materialized tables  
  • 2024-9-11   New Features
    Integration with Data Lake Formation (DLF) 2.0  
  • 2024-7-22   New Features
    Ververica Runtime (VVR) 8.0.8 release  
  • 2024-5-29   Experience Enhancements
    Enhanced MySQL connector  
  • 2024-5-29   New Features
    Ververica Runtime (VVR) 8.0.7 release  
  • 2024-5-29   New Features
    Operator-level state TTL  
  • 2024-5-29   Experience Enhancements
    Optimized permission management  
  • 2024-5-29   Experience Enhancements
    Optimized state compatibility check for SQL deployments   
  • 2024-5-6   New Features
    GUI-based creation of Simple Log Service and StarRocks catalogs  
  • 2024-1-4   Experience Enhancements
    Enhanced Hologres connector  
  • 2024-1-4   Experience Enhancements
    MySQL CDC enhancements  
  • 2024-1-4   Experience Enhancements
    Enhanced MongoDB connector  
  • 2024-1-4   New Features
    MongoDB catalogs  
  • 2023-12-7   New Features
    Realtime Compute for Apache Flink supports queue management  
  • 2023-12-7   New Features
    Support for CALL, DDL, DQL, and DML statements in scripts   
  • 2023-11-27   Experience Enhancements
    Enhanced MySQL catalogs  
  • 2023-10-23   New Features
    Data lineage of Flink SQL deployments  
  • 2023-10-23   New Features
    Multiple logon methods  
  • 2023-10-23   New Features
    Optimized automatic tuning  
  • 2023-10-23   New Features
    Dynamic parameter configuration and resource scaling  
  • 2023-10-23   Experience Enhancements
    DATE columns as partition keys in Hologres result tables  
  • 2023-10-23   Experience Enhancements
    Enhanced MaxCompute connector  
  • 2023-10-23   Experience Enhancements
    Enhanced StarRocks connector  
  • 2023-10-23   Experience Enhancements
    Enhanced ApsaraMQ for RocketMQ connector  
  • 2023-10-23   Experience Enhancements
    Enhanced MySQL catalogs  
More updates >

Customer Success Stories

Learn about How Realtime Compute For Apache Flink enables Customer's realtime data analytics

Related Resources

Building a Streaming Lakehouse with Realtime Compute for Apache Flink
Solution and Case Studies of Streaming Lakehouse

Flink+Hologres on Alibaba Cloud: best practices for real-time data warehousing
Streaming Warehouse solution and practices on Alibaba Cloud

Flink + StarRocks + Paimon: Building Enterprise-Level Open Source Real-Time Data Lakehouse
Unveiling the Technology and Case Study Behind Open Source Real-Time Data Warehouse

Upgraded Support For You

1 on 1 Presale Consultation, 24/7 Technical Support, Faster Response, and More Free Tickets.

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24/7 Technical Support

Extended service time from 10 hours 5 days a week to 24/7. Learn More

6 Free Tickets per Quarter

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Shorten after-sale response time from 36 hours to 18 hours. Learn More

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