Software Alternatives & Reviews

Apache Arrow VS Amazon Athena

Compare Apache Arrow VS Amazon Athena and see what are their differences

Apache Arrow logo Apache Arrow

Apache Arrow is a cross-language development platform for in-memory data.

Amazon Athena logo Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
  • Apache Arrow Landing page
    Landing page //
    2021-10-03
  • Amazon Athena Landing page
    Landing page //
    2023-03-17

Apache Arrow videos

Wes McKinney - Apache Arrow: Leveling Up the Data Science Stack

More videos:

  • Review - "Apache Arrow and the Future of Data Frames" with Wes McKinney
  • Review - Apache Arrow Flight: Accelerating Columnar Dataset Transport (Wes McKinney, Ursa Labs)

Amazon Athena videos

AWS Big Data: What is Amazon Athena?

More videos:

  • Review - Deep Dive on Amazon Athena - AWS Online Tech Talks
  • Review - Deep Dive on Amazon Athena - AWS Online Tech Talks

Category Popularity

0-100% (relative to Apache Arrow and Amazon Athena)
Databases
36 36%
64% 64
NoSQL Databases
100 100%
0% 0
Database Management
0 0%
100% 100
Big Data
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Apache Arrow should be more popular than Amazon Athena. It has been mentiond 33 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 Arrow mentions (33)

  • How moving from Pandas to Polars made me write better code without writing better code
    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++. - Source: dev.to / 2 months ago
  • Time Series Analysis with Polars
    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... - Source: dev.to / 5 months ago
  • TXR Lisp
    IMO a good first step would be to use the txr FFI to write a library for Apache arrow: https://arrow.apache.org/. - Source: Hacker News / 5 months ago
  • A Polars exploration into Kedro
    Polars is an open-source library for Python, Rust, and NodeJS that provides in-memory dataframes, out-of-core processing capabilities, and more. It is based on the Rust implementation of the Apache Arrow columnar data format (you can read more about Arrow on my earlier blog post “Demystifying Apache Arrow”), and it is optimised to be blazing fast. - Source: dev.to / 12 months ago
  • Demystifying Apache Arrow
    Apache Arrow (Arrow for short) is an open source project that defines itself as "a language-independent columnar memory format" (more on that later). It is part of the Apache Software Foundation, and as such is governed by a community of several stakeholders. It has implementations in several languages (C++ and also Rust, Julia, Go, and even JavaScript) and bindings for Python, R and others that wrap the C++... - Source: dev.to / 12 months ago
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Amazon Athena mentions (20)

  • Spatial Search of Amazon S3 Express One Zone Data with Amazon Athena and Visualized It in QGIS
    Prepare GIS data for use with Amazon Athena. This time, we created four types of sample data in QGIS in advance. - Source: dev.to / 5 months ago
  • Enhancing AWS Athena Efficiency - Building a Python Athena Client
    If you have not heard about AWS Athena, I encourage you to take a look at this service. You can read more about it here. - Source: dev.to / 6 months ago
  • Best architecture to provide real time data analytics to users?
    Probably S3 Select or Athena? https://aws.amazon.com/athena/ Both can query S3 directly. Source: about 1 year ago
  • How to browse an RDS snapshot that has been exported to S3
    You can use athena to query data out of parquet files in S3. Source: about 1 year ago
  • AWS Beginner's Key Terminologies
    Amazon Athena (analytics) Amazon Athena is an interactive query service that you can use to analyze data in Amazon S3 using ANSI SQL. Athena is serverless, so there's no infrastructure to manage. Athena scales automatically and is simple to use, so you can start analyzing your datasets within seconds. Https://aws.amazon.com/athena/. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Apache Arrow and Amazon Athena, you can also consider the following products

Delta Lake - Application and Data, Data Stores, and Big Data Tools

phpMyAdmin - phpMyAdmin is a tool written in PHP intended to handle the administration of MySQL over the Web.

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

SQLyog - Webyog develops MySQL database client tools. Monyog MySQL monitor and SQLyog MySQL GUI & admin are trusted by 2.5 million users across the globe.

Apache Parquet - Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem.

Toad for Oracle - Toad is an industry-standard tool for application development.