Apache Spark VS mrjob

Compare Apache Spark vs mrjob and see what are their differences.

Apache Spark

Apache Spark - A unified analytics engine for large-scale data processing (by apache)

mrjob

Run MapReduce jobs on Hadoop or Amazon Web Services (by Yelp)
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Apache Spark mrjob
115 1
40,522 2,617
0.7% 0.0%
10.0 0.0
3 days ago almost 2 years ago
Scala Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Apache Spark

Posts with mentions or reviews of Apache Spark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-02-13.
  • Automating Enhanced Due Diligence in Regulated Applications
    9 projects | dev.to | 13 Feb 2025
    If you're designing an event-based pipeline, you can use a data streaming tool like Kafka to process data as it's collected by the pipeline. For a setup that already has data stored, you can use tools like Apache Spark to batch process and clean it before moving ahead with the pipeline.
  • Run PySpark Local Python Windows Notebook
    2 projects | dev.to | 21 Jan 2025
    PySpark is the Python API for Apache Spark, an open-source distributed computing system that enables fast, scalable data processing. PySpark allows Python developers to leverage the powerful capabilities of Spark for big data analytics, machine learning, and data engineering tasks without needing to delve into the complexities of Java or Scala.
  • Infraestrutura para análise de dados com Jupyter, Cassandra, Pyspark e Docker
    2 projects | dev.to | 15 Jan 2025
  • His Startup Is Now Worth $62B. It Gave Away Its First Product Free
    1 project | news.ycombinator.com | 17 Dec 2024
  • How to Install PySpark on Your Local Machine
    2 projects | dev.to | 9 Dec 2024
    If you’re stepping into the world of Big Data, you have likely heard of Apache Spark, a powerful distributed computing system. PySpark, the Python library for Apache Spark, is a favorite among data enthusiasts for its combination of speed, scalability, and ease of use. But setting it up on your local machine can feel a bit intimidating at first.
  • How to Use PySpark for Machine Learning
    1 project | dev.to | 4 Dec 2024
    According to the Apache Spark official website, PySpark lets you utilize the combined strengths of ApacheSpark (simplicity, speed, scalability, versatility) and Python (rich ecosystem, matured libraries, simplicity) for “data engineering, data science, and machine learning on single-node machines or clusters.”
  • Top FP technologies
    22 projects | dev.to | 29 Oct 2024
    spark
  • Why Apache Spark RDD is immutable?
    1 project | dev.to | 29 Sep 2024
    Apache Spark is a powerful and widely used framework for distributed data processing, beloved for its efficiency and scalability. At the heart of Spark’s magic lies the RDD, an abstraction that’s more than just a mere data collection. In this blog post, we’ll explore why RDDs are immutable and the benefits this immutability provides in the context of Apache Spark.
  • Spark SQL is getting pipe syntax
    1 project | news.ycombinator.com | 17 Sep 2024
  • Intro to Ray on GKE
    3 projects | dev.to | 12 Sep 2024
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as we’ve explored here, but Ray Clusters can also be created independent of Kubernetes.

mrjob

Posts with mentions or reviews of mrjob. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-24.

What are some alternatives?

When comparing Apache Spark and mrjob you can also consider the following projects:

Smile - Statistical Machine Intelligence & Learning Engine

luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Trino - Official repository of Trino, the distributed SQL query engine for big data, former

dumbo - Python module that allows one to easily write and run Hadoop programs.

Scalding - A Scala API for Cascading

streamparse - Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL.

dpark - Python clone of Spark, a MapReduce alike framework in Python

Weka

murmurhash - 💥 Cython bindings for MurmurHash2

Apache Flink - Apache Flink

mmh3 - Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions.

Nutrient – The #1 PDF SDK Library, trusted by 10K+ developers
Other PDF SDKs promise a lot - then break. Laggy scrolling, poor mobile UX, tons of bugs, and lack of support cost you endless frustrations. Nutrient’s SDK handles billion-page workloads - so you don’t have to debug PDFs. Used by ~1 billion end users in more than 150 different countries.
www.nutrient.io
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