Apache Spark VS Apache Arrow

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

Apache Spark

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

Apache Arrow

Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing (by apache)
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Apache Spark Apache Arrow
101 75
38,249 13,442
1.0% 1.9%
10.0 10.0
5 days ago 5 days ago
Scala C++
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 2024-03-11.

Apache Arrow

Posts with mentions or reviews of Apache Arrow. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-03-05.
  • How moving from Pandas to Polars made me write better code without writing better code
    2 projects | dev.to | 5 Mar 2024
    In comes Polars: a brand new dataframe library, or how the author Ritchie Vink describes it... a query engine with a dataframe frontend. Polars is built on top of the Arrow memory format and is written in Rust, which is a modern performant and memory-safe systems programming language similar to C/C++.
  • From slow to SIMD: A Go optimization story
    10 projects | news.ycombinator.com | 23 Jan 2024
    I learned yesterday about GoLang's assembler https://go.dev/doc/asm - after browsing how arrow is implemented for different languages (my experience is mainly C/C++) - https://github.com/apache/arrow/tree/main/go/arrow/math - there are bunch of .S ("asm" files) and I'm still not able to comprehend how these work exactly (I guess it'll take more reading) - it seems very peculiar.

    The last time I've used inlined assembly was back in Turbo/Borland Pascal, then bit in Visual Studio (32-bit), until they got disabled. Then did very little gcc with their more strict specification (while the former you had to know how the ABI worked, the latter too - but it was specced out).

    Anyway - I wasn't expecting to find this in "Go" :) But I guess you can always start with .go code then produce assembly (-S) then optimize it, or find/hire someone to do it.

  • Time Series Analysis with Polars
    2 projects | dev.to | 10 Dec 2023
    One is related to the heritage of being built around the NumPy library, which is great for processing numerical data, but becomes an issue as soon as the data is anything else. Pandas 2.0 has started to bring in Arrow, but it's not yet the standard (you have to opt-in and according to the developers it's going to stay that way for the foreseeable future). Also, pandas's Arrow-based features are not yet entirely on par with its NumPy-based features. Polars was built around Arrow from the get go. This makes it very powerful when it comes to exchanging data with other languages and reducing the number of in-memory copying operations, thus leading to better performance.
  • TXR Lisp
    2 projects | news.ycombinator.com | 8 Dec 2023
    IMO a good first step would be to use the txr FFI to write a library for Apache arrow: https://arrow.apache.org/
  • 3D desktop Game Engine scriptable in Python
    5 projects | news.ycombinator.com | 1 Nov 2023
    https://www.reddit.com/r/O3DE/comments/rdvxhx/why_python/ :

    > Python is used for scripting the editor only, not in-game behaviors.

    > For implementing entity behaviors the only out of box ways are C++, ScriptCanvas (visual scripting) or Lua. Python is currently not available for implementing game logic.

    C++, Lua, and Python all implement CFFI (C Foreign Function Interface) for remote function and method calls.

    "Using CFFI for embedding" https://cffi.readthedocs.io/en/latest/embedding.html :

    > You can use CFFI to generate C code which exports the API of your choice to any C application that wants to link with this C code. This API, which you define yourself, ends up as the API of a .so/.dll/.dylib library—or you can statically link it within a larger application.

    Apache Arrow already supports C, C++, Python, Rust, Go and has C GLib support Lua:

    https://github.com/apache/arrow/tree/main/c_glib/example/lua :

    > Arrow Lua example: All example codes use LGI to use Arrow GLib based bindings


  • Show HN: Udsv.js – A faster CSV parser in 5KB (min)
    3 projects | news.ycombinator.com | 4 Sep 2023
  • Interacting with Amazon S3 using AWS Data Wrangler (awswrangler) SDK for Pandas: A Comprehensive Guide
    5 projects | dev.to | 20 Aug 2023
    AWS Data Wrangler is a Python library that simplifies the process of interacting with various AWS services, built on top of some useful data tools and open-source projects such as Pandas, Apache Arrow and Boto3. It offers streamlined functions to connect to, retrieve, transform, and load data from AWS services, with a strong focus on Amazon S3.
  • Cap'n Proto 1.0
    10 projects | news.ycombinator.com | 28 Jul 2023
    Worker should really adopt Apache Arrow, which has a much bigger ecosystem.


  • C++ Jobs - Q3 2023
    3 projects | /r/cpp | 4 Jul 2023
    Apache Arrow
  • CSV or Parquet File Format
    3 projects | /r/Python | 1 Jun 2023
    In fact I have asked Apache Github how to read select column of particular row group of a parquet file. https://github.com/apache/arrow/issues/35688

What are some alternatives?

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

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Scalding - A Scala API for Cascading

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

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.

h5py - HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.


Smile - Statistical Machine Intelligence & Learning Engine

FlatBuffers - FlatBuffers: Memory Efficient Serialization Library

polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust