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Apache Flink VS Apache Sqoop

Compare Apache Flink VS Apache Sqoop and see what are their differences


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

Sqoop is a command-line interface application for transferring data between relational databases and Hadoop.
Apache Flink Landing Page
Apache Flink Landing Page
Apache Sqoop Landing Page
Apache Sqoop Landing Page

Apache Flink details

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

Apache Sqoop details

Categories
ETL Data Pipelines Databases
Website sqoop.apache.org  

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

Apache Sqoop videos

15 Apache Sqoop - Sqoop Import - Incremental loads

More videos:

  • - Apache Sqoop Tutorial | Sqoop: Import & Export Data From MySQL To HDFS | Hadoop Training | Edureka
  • - Apache Sqoop Tutorial -Importing and Exporting Data

Category Popularity

0-100% (relative to Apache Flink and Apache Sqoop)
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0%
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100
77
77%
23%
23
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0%
100%
100

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

Apache Sqoop mentions

We have not tracked any mentions of Apache Sqoop yet. Tracking of Apache Sqoop recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Flink and Apache Sqoop, 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...

Azure Data Factory - 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.

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

Apache NiFi - An easy to use, powerful, and reliable system to process and distribute data.

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

Talend Big Data Platform - Talend Big Data Platform is a data integration and data quality platform built on Spark for cloud and on-premises.

User reviews

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