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Apache Flink VS Azure Data Factory

Compare Apache Flink VS Azure Data Factory and see what are their differences


Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.
Apache Flink Landing Page
Apache Flink Landing Page
Azure Data Factory Landing Page
Azure Data Factory Landing Page

Apache Flink details

Categories
Big Data Web Framework Databases
Website flink.apache.org  

Azure Data Factory details

Categories
Big Data Tools Data Integration ETL
Website azure.microsoft.com  

Apache Flink videos

GOTO 2019 • Introduction to Stateful Stream Processing with Apache Flink • Robert Metzger

More videos:

  • - Apache Flink Tutorial | Flink vs Spark | Real Time Analytics Using Flink | Apache Flink Training
  • - How to build a modern stream processor: The science behind Apache Flink - Stefan Richter

Azure Data Factory videos

Use Azure Data Factory to copy and transform data

More videos:

  • - Pass summit 2019: Head to Head, SSIS Versus Azure Data Factory
  • - Azure Data Factory Tutorial | Introduction to ETL in Azure

Category Popularity

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Social recommendations and mentions

We have tracked the following product recommendations or mentions on Reddit and HackerNews. They can help you identify which product is more popular and what people think of it.

Apache Flink mentions

  • 7 Real-Time Data Streaming Tools You Should Consider On Your Next Project
    Apache Flink is another popular open source distributed data streaming engine that performs stateful computations over bounded and unbounded data streams. This framework is written in Scala and Java and is ideal for complex data stream computations. - Source: dev.to / 23 days ago
  • Data Driven Development for Complex Systems, Part 3
    This post continues a series on data-driven development best practices. These are specifically made for software systems with highly complicated integration points, but are applicable to many different situations. This series uses stream processing with Apache Flink for the examples. - Source: dev.to / 6 days ago

Azure Data Factory mentions

We have not tracked any mentions of Azure Data Factory yet. Tracking of Azure Data Factory recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Flink and Azure Data Factory, you can also consider the following products

Spring Framework - The Spring portfolio has many projects, including Spring Framework, Spring IO Platform, Spring Cloud, Spring Boot, Spring Data, Spring Security...

DataTap - Adverity is the best data intelligence software for data-driven decision making. Connect to all your sources and harmonize the data across all channels.

Spark - Spark helps you take your inbox under control. Instantly see what’s important and quickly clean up the rest. Spark for Teams allows you to create, discuss, and share email with your colleagues

Xplenty - Xplenty gives you the power of Hadoop data processing without the need for installing hardware or software, and without the need for Hadoop programming skills. It's all in the cloud.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Workato - Experts agree - we're the leader. Forrester Research names Workato a Leader in iPaaS for Dynamic Integration. Get the report. Gartner recognizes Workato as a “Cool Vendor in Social Software and Collaboration”.

User reviews

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