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Apache Spark VS fzy

Compare Apache Spark VS fzy 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.

fzy logo fzy

A better fuzzy finder
  • Apache Spark Landing page
    Landing page //
    2021-12-31
  • fzy Landing page
    Landing page //
    2023-07-28

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

fzy videos

No fzy videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Apache Spark and fzy)
Databases
100 100%
0% 0
Note Taking
0 0%
100% 100
Big Data
100 100%
0% 0
Productivity
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 fzy

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...

fzy Reviews

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Social recommendations and mentions

Based on our record, Apache Spark seems to be a lot more popular than fzy. While we know about 58 links to Apache Spark, we've tracked only 4 mentions of fzy. 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 / 15 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 / 16 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
View more

fzy mentions (4)

  • GNOME 44
    > it supports my keystrokes You know that there is basically a standard set, imposed by Windows in about 1986 or something and also supported in GNOME 2, MATE, Xfce, LXDE, etc etc.? I am more interested in if it supports them. I mean, I don't know what your set are, and I am not for a moment saying there's anything wrong with them, but there are standards for this stuff, used heavily by millions of blind... - Source: Hacker News / over 1 year ago
  • Your favourite Rust CLI utilities this year?
    I've been mostly using fzy which is written in C. I hope skim's matching algorithm is as good as fzy's…. Source: almost 2 years ago
  • Fzf – a command-line fuzzy finder
    Am I the only one who prefers FZY ? https://github.com/jhawthorn/fzy. - Source: Hacker News / over 2 years ago
  • Looking for a neat Neovim config for wilder.nvim
    A while ago there was a post on this sub about a plugin called wilder.nvim which looks absolutely awesome. Wilder seems super configurable and it's README has a bunch of different suggested configurations. However, it is designed to work with both Vim and Neovim, but does have a config for Neovim, but it depends on kinda odd plugins like cpsm (which uses ctrlp.vim) as well as fzy. Source: almost 3 years ago

What are some alternatives?

When comparing Apache Spark and fzy, 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.

fzf - A command-line fuzzy finder written in Go

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

skim (fuzzy finder) - Discover open source libraries, modules and frameworks you can use in your code

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

Peco - Peco Foods, a poultry products provider for industrial, retail and food service markets, is dedicated to customer satisfaction, value and total quality management.