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JUnit VS Spark Streaming

Compare JUnit VS Spark Streaming and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

JUnit logo JUnit

JUnit is a simple framework to write repeatable tests.

Spark Streaming logo Spark Streaming

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.
  • JUnit Landing page
    Landing page //
    2022-12-12
  • Spark Streaming Landing page
    Landing page //
    2022-01-10

JUnit videos

+ Add

Code Review of example Project for JUnit 5 Tests

More videos:

  • Review - JUnit - Features
  • Review - JUnit test case example in Java – CM004

Spark Streaming videos

+ Add

Spark Streaming Vs Kafka Streams || Which is The Best for Stream Processing?

More videos:

  • Tutorial - Spark Streaming Vs Structured Streaming Comparison | Big Data Hadoop Tutorial

Category Popularity

0-100% (relative to JUnit and Spark Streaming)

JUnit

Spark Streaming

Automated Testing
100 100%
Automated Testing
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Testing
100 100%
Testing
0% 0
Data Management
0 0%
Data Management
100% 100

User comments

Share your experience with using JUnit and Spark Streaming. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, JUnit should be more popular than Spark Streaming. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

JUnit mentions (16)

  • Setting up Continuous Integration
    Unlike I expected, setting up the project with Junit proved to be really time-consuming for me. - Source: dev.to / 8 months ago
  • Adding testing for my java project
    First, I chose a testing framework for my java project. JUnit is the most pupular testing framework for java. - Source: dev.to / 8 months ago
  • How to prevent NullPointerExceptions in Java
    This code defines a JUnit test case for the getStrings() method of the MyClass class. Then it creates an instance of MyClass, calls the getStrings() method, and asserts that the result is not null using the assertNotNull() method. - Source: dev.to / 10 months ago
  • JUnit 5: link tests with task tracker issues
    How you can link JUnit 5 tests with issues in your task tracker systems? - Source: dev.to / about 1 year ago
  • DevOps Tooling Landscape
    JUnit is a popular Java testing framework used for unit testing. It's an open-source tool that's designed to make it easy for developers to write and run automated tests. JUnit provides a set of annotations and assertions that can be used to define test cases and expected outcomes, and it can be easily integrated with other DevOps tools like Jenkins and Maven. - Source: dev.to / over 1 year ago
View more

Spark Streaming mentions (3)

  • Choosing Between a Streaming Database and a Stream Processing Framework in Python
    Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 5 months ago
  • Machine Learning Pipelines with Spark: Introductory Guide (Part 1)
    Spark Streaming: The component for real-time data processing and analytics. - Source: dev.to / over 1 year ago
  • Spark for beginners - and you
    Is a big data framework and currently one of the most popular tools for big data analytics. It contains libraries for data analysis, machine learning, graph analysis and streaming live data. In general Spark is faster than Hadoop, as it does not write intermediate results to disk. It is not a data storage system. We can use Spark on top of HDFS or read data from other sources like Amazon S3. It is the designed... - Source: dev.to / over 2 years ago

What are some alternatives?

When comparing JUnit and Spark Streaming, you can also consider the following products

Cucumber - Cucumber is a BDD tool for specification of application features and user scenarios in plain text.

Confluent - Confluent offers a real-time data platform built around Apache Kafka.

Robot framework - Robot Framework is a generic test automation framework for acceptance testing and acceptance...

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.

Google Cloud Dataflow - Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

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