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# to you under the Apache License, Version 2.0 (the
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# http://www.apache.org/licenses/LICENSE-2.0
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- id: hero.title
translation: Apache Flink
- id: hero.subtitle
translation: Stateful Computations over Data Streams
- id: hero.blurb
translation: Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale.
- id: learn-more
translation: Learn More
- id: flink-capabilities
translation: Flink Capabilities
- id: correctness-guarentees
translation: Correctness guarantees
- id: correctness-guarentees.exactly-once
translation: Exactly-once state consistency
- id: correctness-guarentees.event-time
translation: Event-time processing
- id: correctness-guarentees.late-data-handling
translation: Sophisticated late data handling
- id: layered-apis
translation: Layered APIs
- id: layered-apis.sql
translation: SQL on Stream & Batch Data
- id: layered-apis.data-stream-set
translation: DataStream API & DataSet API
- id: layered-apis.process-function
translation: ProcessFunction (Time & State)
- id: operational-focus
translation: Operational focus
- id: operational-focus.flexible-deployment
translation: Flexible deployment
- id: operational-focus.high-availability
translation: High-availability setup
- id: operational-focus.savepoints
translation: Savepoints
- id: scalability
translation: Scalability
- id: scalability.scale-out
translation: Scale-out architecture
- id: scalability.large-state
translation: Support for very large state
- id: scalability.incremental-checkpoints
translation: Incremental Checkpoints
- id: performance
translation: Performance
- id: performance.low-latency
translation: Low latency
- id: performance.high-throughput
translation: High throughput
- id: performance.in-memory
translation: In-Memory computing
- id: use-cases
translation: Use Cases
- id: use-cases.event-driven
translation: Event Driven Applications
- id: use-cases.event-driven.description
translation: An event-driven application is a stateful application that ingests events from one or more event streams and reacts to incoming events by triggering computations, state updates, or external actions.
- id: use-cases.stream-batch
translation: Stream & Batch Analytics
- id: use-cases.stream-batch.description
translation: Analytical jobs extract information and insight from raw data. Apache Flink supports traditional batch queries on bounded data sets and real-time, continuous queries from unbounded, live data streams.
- id: use-cases.pipelines-etl
translation: Data Pipelines & ETL
- id: use-cases.pipelines-etl.description
translation: Extract-transform-load (ETL) is a common approach to convert and move data between storage systems.
- id: use-cases.learn-more
translation: Learn more about Flink use cases
- id: blog-posts
translation: Recent Flink blogs
- id: footer.disclaimer
translation: The contents of this website are © 2024 Apache Software Foundation under the terms of the Apache License v2. Apache Flink, Flink, and the Flink logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.
- id: footer.flink-packages
translation: flink-packages.org
- id: footer.apache
translation: Apache Software Foundation
- id: footer.license
translation: License
- id: footer.security
translation: Security
- id: footer.donate
translation: Donate
- id: footer.thanks
translation: Thanks
- id: footer.translation
translation: 中文版
- id: footer.translation.target
translation: /zh/
- id: footer.blog
translation: Flink blog
- id: footer.github
translation: Github
- id: footer.twitter
translation: Twitter
- id: blogs.recent
translation: Recent Flink blogs
- id: blogs.read-more
translation: Read more blog posts