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Apache Flink

Brand : The Apache Software Foundation

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Apache Flink is a powerful open-source stream processing framework for real-time data analytics at massive scale. It supports both batch and stream data processing, making it ideal for complex event-driven applications. ...Read more

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Apache Flink Pricing, Features & Reviews

What is Apache Flink?

Apache Flink is an open-source stream analytics software designed for processing data streams, both unbounded (continuous flow) and bounded (fixed size). It enables real-time data analysis by allowing users to process and analyze data as it arrives. Flink supports event-time processing, ensuring that events are processed based on their actual occurrence time, which is crucial for accurate analytics.

It offers exactly-once state consistency, guaranteeing that each event is processed only once, even in the case of failures. Flink's layered APIs, including SQL-like queries and DataStream APIs, make it accessible for developers with varying expertise. Its scalable architecture allows it to run on various cluster environments, handling large-scale data processing efficiently. Common use cases for Flink include real-time analytics, event-driven applications, and data pipeline processing.

Why Choose Apache Flink Software?

  • Real-Time Processing: Flink excels at processing large-scale data streams in real time with low latency.
  • Unified Engine: It supports both stream and batch processing using a single engine.
  • Fault Tolerance: Built-in checkpointing and recovery features ensure reliability and data consistency.
  • Scalability: Easily scales to handle massive workloads across distributed environments.
  • Rich APIs: Offers powerful APIs in Java, Scala, and Python for building complex applications.
  • Event Time Processing: Supports advanced event time and windowing features for accurate time-based analytics.
  • Seamless Integration: Integrates well with popular data sources like Kafka, Hadoop, Cassandra, and more.
  • Rich Ecosystem and Integration: Flink integrates with numerous data sources and sinks, including Apache Kafka, Amazon Kinesis, and HDFS, facilitating seamless data pipeline development.

Benefits of Apache Flink Software

  • Dynamic Scaling: Flink allows dynamic resource allocation and scaling without downtime, ensuring continuous processing.
  • Stateful Stream Processing: It supports large-scale, consistent state management, making it suitable for complex applications like fraud detection and session tracking.
  • Advanced Machine Learning Support: Flink ML libraries enable the development and deployment of real-time machine learning models.
  • Flexible Deployment: Can run on various cluster managers like Kubernetes, YARN, and standalone clusters, offering deployment flexibility.
  • Community and Ecosystem: Backed by a strong open-source community, Flink benefits from regular updates, plugins, and active support.
  • SQL and Table API: Provides high-level, declarative APIs for data analytics, making it accessible to non-programmers and data analysts.

Apache Flink Pricing

Apache Flink price details are available on request at techjockey.com.

The pricing model is based on different parameters, including extra features, deployment type, and the total number of users. For further queries related to the product, you can contact our product team and learn more about the pricing and offers.

Apache Flink Pricing & Plans

Apache Flink price is available on request

Looking for pricing details, customization requirements or have other queries? We are just a click away.

Apache Flink Gallery

Apache Flink Applications
Apache Flink Analytics
Apache Flink TaskManager

Apache Flink Features

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Stream and Batch Processing

Supports real-time streaming and historical batch data processing using a single engine.

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Event-time Processing

Handles data based on the actual event time, enabling accurate time-based analytics.

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Scalability

Effortlessly scales across large clusters to handle massive volumes of data.

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High Throughput

Processes millions of events per second with low latency and minimal delay.

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APIs for Data Processing

Provides powerful APIs in Java, Scala, and Python for building complex data workflows.

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Flexible Deployment Options

Can be deployed on YARN, Kubernetes, Mesos, or standalone clusters.

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Machine Learning

Supports real-time machine learning workflows using Flink ML libraries.

Apache Flink Specifications

  • Supported Platforms :
  • Device:
  • Deployment :
  • Suitable For :
  • Business Specific:
  • Business Size:
  • Customer Support:
  • Integration:
  • Language:
  • Ubuntu Windows MacOS Linux
  • Desktop
  • Web-Based, Perpetual
  • All Industries
  • All Businesses
  • Small Business, Medium Business, Enterprises, MSMEs
  • Phone, Email, Live Chat, Communities, Forums
  • API Integration
  • English

Apache Flink Reviews and Ratings

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The Apache Software Foundation Company Details

Brand Name The Apache Software Foundation
Information Apache Software Foundation provides organizational, legal and financial support for Apache open-source software projects.
Founded Year 1999
Director/Founders Brian Behlendorf, Grant Ingersoll, Isabel Drost-Fromm, Jim Jagielski, Lars Eilebrecht, Patrick Stued
Company Size 1-100 Employees
Other Products Apache HBase, Apache Jmeter, Apache Kafka, Apache Spark, Apache CloudStack

Apache Flink FAQ

A Apache Flink pricing details can be obtained upon request from Techjockey.
A No, Apache Flink does not offer a dedicated mobile application.
A Apache Flink is compatible with Ubuntu, Windows, macOS, and Linux operating systems.
A Since it’s open-source, Apache Flink is freely available without the need for a trial.
A Apache Flink processes data in real-time using distributed stream and batch processing engines.
A Data engineers, developers, and organizations needing real-time analytics benefit most from Flink.
A While there is no official demo, tutorials and community resources are freely available online.
A Yes, Apache Flink is completely free and open-source.
A Yes, Apache Flink is specifically designed for real-time stream data processing and analytics.
A Yes, Flink integrates seamlessly with Apache Kafka for real-time data ingestion.

Apache Flink Alternatives

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Amazon Kinesis Data Streams Apache Kafka Azure Stream Analytics Confluent
See all Apache Flink Alternatives
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