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Apache Spark VS Haskell

Compare Apache Spark VS Haskell and see what are their differences

Apache Spark logo Apache Spark

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

Haskell logo Haskell

An advanced purely-functional programming language
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • Haskell Landing page
    Landing page //
    2023-05-01

We recommend LibHunt Haskell for discovery and comparisons of trending Haskell projects.

Apache Spark videos

Weekly Apache Spark live Code Review -- look at StringIndexer multi-col (Scala) & Python testing

More videos:

  • Review - What's New in Apache Spark 3.0.0
  • Review - Apache Spark for Data Engineering and Analysis - Overview

Haskell videos

Functional Programming & Haskell - Computerphile

More videos:

  • Review - Marloe Haskell Review
  • Review - Marloe Watch Company - Haskell - Watch Review

Category Popularity

0-100% (relative to Apache Spark and Haskell)
Databases
100 100%
0% 0
Programming Language
0 0%
100% 100
Big Data
100 100%
0% 0
OOP
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Spark and Haskell

Apache Spark Reviews

15 data science tools to consider using in 2021
Apache Spark is an open source data processing and analytics engine that can handle large amounts of data -- upward of several petabytes, according to proponents. Spark's ability to rapidly process data has fueled significant growth in the use of the platform since it was created in 2009, helping to make the Spark project one of the largest open source communities among big...
Top 15 Kafka Alternatives Popular In 2021
Apache Spark is a well-known, general-purpose, open-source analytics engine for large-scale, core data processing. It is known for its high-performance quality for data processing – batch and streaming with the help of its DAG scheduler, query optimizer, and engine. Data streams are processed in real-time and hence it is quite fast and efficient. Its machine learning...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Spark is an open-source and flexible in-memory framework which serves as an alternative to map-reduce for handling batch, real-time analytics and data processing workloads. It provides native bindings for the Java, Scala, Python, and R programming languages, and supports SQL, streaming data, machine learning and graph processing. From its beginning in the AMPLab at...

Haskell Reviews

We have no reviews of Haskell yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Apache Spark should be more popular than Haskell. It has been mentiond 58 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.

Apache Spark mentions (58)

  • How I've implemented the Medallion architecture using Apache Spark and Apache Hdoop
    In this project, I'm exploring the Medallion Architecture which is a data design pattern that organizes data into different layers based on structure and/or quality. I'm creating a fictional scenario where a large enterprise that has several branches across the country. Each branch receives purchase orders from an app and deliver the goods to their customers. The enterprise wants to identify the branch that... - Source: dev.to / 4 days ago
  • Shades of Open Source - Understanding The Many Meanings of "Open"
    In contrast, Databricks maintains internal forks of Spark, Delta Lake, and Unity Catalog, using the same names for both the open-source versions and the features specific to the Databricks platform. While they do provide separate documentation, online discussions often reflect confusion about how to use features in the open-source versions that only exist on the Databricks platform. This creates a "muddying of the... - Source: dev.to / 6 days ago
  • Groovy 🎷 Cheat Sheet - 01 Say "Hello" from Groovy
    Recently I had to revisit the "JVM languages universe" again. Yes, language(s), plural! Java isn't the only language that uses the JVM. I previously used Scala, which is a JVM language, to use Apache Spark for Data Engineering workloads, but this is for another post 😉. - Source: dev.to / 4 months ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / 5 months ago
  • Go concurrency simplified. Part 4: Post office as a data pipeline
    Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 6 months ago
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Haskell mentions (21)

  • Is there a programming language that will blow my mind?
    Haskell - a general-purpose functional language with many unique properties (purely functional, lazy, expressive types, STM, etc). You mentioned you dabbled in Haskell, why not try it again? (I've written about 7 things I learned from Haskell, and my book is linked at them bottom if you're interested :) ). Source: about 1 year ago
  • Where to go from here?
    Where you go is entirely up to you. According to haskell.org, Haskell jobs are a-plenty. sigh. Source: about 1 year ago
  • Haskell.org now has "Get Started" page!
    Should they be part of haskell.org or something else? Source: over 1 year ago
  • Haskell.org now has "Get Started" page!
    Haskell.org now has a big purple Get Started button that takes you to a nice short guide (haskell.org/get-started) that quickly provides all the basic info to get going with Haskell. It is aimed for beginners, to reduce choice fatigue and to give them a clear, official path to get going. Source: over 1 year ago
  • dev environment for windows
    I just jumped into the wiki "Write Yourself a Scheme in 48 hours" which looks pretty good. (although some of the text explanation is hard to understand without context).. I used cabal to set up the starter project. Sublime editor seems to work OK and I just use the git Bash shell on windows to compile the program directly on the command line. So maybe this is all good enough for now (?). It seems installing... Source: over 1 year ago
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What are some alternatives?

When comparing Apache Spark and Haskell, you can also consider the following products

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

Rust - A safe, concurrent, practical language

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Python - Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

Hadoop - Open-source software for reliable, scalable, distributed computing

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions