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Preact.js VS Apache Arrow

Compare Preact.js VS Apache Arrow and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Preact.js logo Preact.js

Preact is a fast 3kB alternative to React with the same modern API. Components & Virtual DOM.

Apache Arrow logo Apache Arrow

Apache Arrow is a cross-language development platform for in-memory data.
  • Preact.js Landing page
    Landing page //
    2023-05-11
  • Apache Arrow Landing page
    Landing page //
    2021-10-03

Preact.js features and specs

  • Size
    Preact is very small in size (about 3KB gzipped), which makes it easy to load and faster to execute, resulting in improved performance and quicker load times.
  • Compatibility
    Preact is largely compatible with React, allowing developers to switch to Preact with minimal code changes. This makes it easier to adopt for projects already using React.
  • Performance
    Due to its small size and efficient design, Preact offers excellent performance, especially on low-powered devices and in applications with heavy user interactions.
  • Ecosystem
    Preact can work with many tools and libraries that are designed for React, giving developers access to a rich ecosystem of resources.
  • Community
    Preact has an active and growing community that provides support, plugins, and third-party tools, making it easier for developers to find solutions and share knowledge.

Possible disadvantages of Preact.js

  • Feature Set
    While Preact covers most of the core React features, it lacks some of the advanced functionality present in React, which may require additional workarounds or third-party libraries.
  • Learning Curve
    For developers coming from a non-React background, learning Preact might involve a learning curve, particularly because of its similarities and subtle differences with React.
  • Tooling Compatibility
    Although many tools designed for React can work with Preact, some might not be directly compatible, requiring additional configuration or patches.
  • Community Size
    While Preact has a supportive community, it is smaller compared to the massive React community, which can result in fewer available resources and third-party packages.
  • Maturity
    Preact, being newer and less widely adopted than React, might not have the same level of battle-tested reliability for all use cases, especially for large scale applications.

Apache Arrow features and specs

  • In-Memory Columnar Format
    Apache Arrow stores data in a columnar format in memory which allows for efficient data processing and analytics by enabling operations on entire columns at a time.
  • Language Agnostic
    Arrow provides libraries in multiple languages such as C++, Java, Python, R, and more, facilitating cross-language development and enabling data interchange between ecosystems.
  • Interoperability
    Arrow's ability to act as a data transfer protocol allows easy interoperability between different systems or applications without the need for serialization or deserialization.
  • Performance
    Designed for high performance, Arrow can handle large data volumes efficiently due to its zero-copy reads and SIMD (Single Instruction, Multiple Data) operations.
  • Ecosystem Integration
    Arrow integrates well with various data processing systems like Apache Spark, Pandas, and more, making it a versatile choice for data applications.

Possible disadvantages of Apache Arrow

  • Complexity
    The use of Apache Arrow can introduce additional complexity, especially for smaller projects or those which do not require high-performance data interchange.
  • Learning Curve
    Getting accustomed to Apache Arrow can take time due to its unique in-memory format and APIs, especially for developers who are new to columnar data processing.
  • Memory Usage
    While Arrow excels in speed and performance, the memory consumption can be higher compared to row-based storage formats, potentially becoming a bottleneck.
  • Maturity
    Although rapidly evolving, some Arrow components or language implementations may not be as mature or feature-complete, potentially leading to limitations in certain use cases.
  • Integration Challenges
    While Arrow aims for broad compatibility, integrating it into existing systems may require substantial effort, affecting development timelines.

Analysis of Preact.js

Overall verdict

  • Preact.js is a strong option for projects where performance and load time are critical, or where a light footprint is necessary. Its compatibility with React makes it a flexible and efficient alternative in scenarios where React may be overkill due to its larger size.

Why this product is good

  • Preact.js is known for its small size and high performance, making it an excellent choice for developers who need a lightweight alternative to React without sacrificing functionality. It offers a familiar API for React developers, ensuring an easy transition, and is highly efficient in terms of rendering performance. Preact also offers excellent compatibility with existing React tools and ecosystems, meaning many React packages work seamlessly with Preact.

Recommended for

    Preact.js is recommended for developers building applications with stringent performance requirements, those needing to optimize for fast loading times in environments with limited bandwidth or resources, or those looking to integrate React-like architecture in smaller projects without introducing the full weight of the React library.

Preact.js videos

+ Add

JS frameworks are replaceable

Apache Arrow videos

+ Add

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)

Category Popularity

0-100% (relative to Preact.js and Apache Arrow)

Preact.js

Apache Arrow

Javascript UI Libraries
100 100%
Javascript UI Libraries
0% 0
Databases
0 0%
Databases
100% 100
JavaScript Framework
100 100%
JavaScript Framework
0% 0
Big Data
0 0%
Big Data
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 Preact.js and Apache Arrow

Preact.js Reviews

Top JavaScript Frameworks in 2025
PreactJS is a JavaScript library that is said to be the fast 3Kb alternative to ReactJS using the same modern API. It implements the fastest virtual DOM compared to other frameworks in the market. Moreover, it is one of the smallest libraries in terms of size.
Source: solguruz.com
20 Next.js Alternatives Worth Considering
Preact is like Reactโ€™s little sibling, smaller in size but with the same familiar moves. Itโ€™s cutting down the fluff and zipping through tasks with less overhead. When performance budgets are tight, Preact wiggles in perfectly.
Source: tms-outsource.com
20 Best JavaScript Frameworks For 2023
Preact is built with the same core principle of React โ€“ A component-based approach with Virtual DOM while completely compatible with React. It can even use React packages without compromising on speed, performance, and leaner size. In instances where the full potential of React isnโ€™t necessary, most developers even use React during development and switch to Preact for...
Source: www.lambdatest.com
Top 15 jQuery Alternatives To Know
ReactJS is a powerful JavaScript library to create user interfaces. Developers can design easy views at each stage in the application and there is regular update and rendering for the actual components whenever there is any data alteration. It is component-driven and creates encapsulated components that manage their own state.
Source: www.spec-india.com
Top 5 JavaScript Frameworks To Learn in 2021
But according to the graph above, we can notice a decrease in interest in Preact. This might result from having many similar frameworks with the same specs, like react-lite, Inferno, etc. However, knowing a framework like Preact will be useful for your development journey.
Source: enlear.academy

Apache Arrow Reviews

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

Social recommendations and mentions

Based on our record, Preact.js should be more popular than Apache Arrow. It has been mentiond 97 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.

Preact.js mentions (97)

  • How to Convert Supplier CSVs to Shopify/Amazon/WooCommerce Without Uploading to a Server
    eBay: 30+ fields (item specifics, variations, shipping) Each schema is a JSON file defining field names, data types, and validation rules. The mapper walks source โ†’ target assignments and applies type coercion (string โ†’ number, date formatting, etc.) before export. The entire app stays under 200 KB gzipped by avoiding heavy UI libraries. It's built with Preact + htm (no JSX build step) and styled with Tailwind CSS... - Source: dev.to / about 2 months ago
  • Can Claude Code migrate VanillaJS/HTML/CSS to Preact/Tailwind?
    First of all, I was concerned that React would add a lot of overhead for a Chrome Extension, which should be pretty light and quick. So I decided to use Preact, which, as its homepage states, is a "fast 3kB alternative to React with the same modern API.". - Source: dev.to / 3 months ago
  • Shopify App: October 2025 Updates
    And because of this change Shopify have also moved to Preact as the main framework for building UI extensions. Preact if you haven't heard of it is a smaller and faster alternative to React but is compatible with React. - Source: dev.to / 10 months ago
  • Spin up Bun + Preact full-stack app in minutes ๐Ÿš€
    Bun makes full-stack TypeScript feel almost too easy - a fast runtime, a dev server with HMR, and a bundler. In this post weโ€™ll spin up a minimal app that serves an HTML page, mounts a Preact component, and exposes a tiny API. - Source: dev.to / 10 months ago
  • Progressive frustration
    How do I retro-fit nextjs instructions on the Flagsmith website to fit Deno's fresh over preact? - Source: dev.to / over 1 year ago
View more

Apache Arrow mentions (40)

  • Show HN: Typed-arrow โ€“ compileโ€‘time Arrow schemas for Rust
    I had no idea what Arrow is: https://arrow.apache.org or arrow-rs: https://github.com/apache/arrow-rs. - Source: Hacker News / 11 months ago
  • Show HN: Pontoon, an open-source data export platform
    - Open source: Pontoon is free to use by anyone Under the hood, we use Apache Arrow (https://arrow.apache.org/) to move data between sources and destinations. Arrow is very performant - we wanted to use a library that could handle the scale of moving millions of records per minute. In the shorter-term, there are several improvements we want to make, like:. - Source: Hacker News / 12 months ago
  • Unlocking DuckDB from Anywhere - A Guide to Remote Access with Apache Arrow and Flight RPC (gRPC)
    Apache Arrow : It contains a set of technologies that enable big data systems to process and move data fast. - Source: dev.to / over 1 year ago
  • Using Polars in Rust for high-performance data analysis
    One of the main selling points of Polars over similar solutions such as Pandas is performance. Polars is written in highly optimized Rust and uses the Apache Arrow container format. - Source: dev.to / over 1 year ago
  • Kotlin DataFrame โค๏ธ Arrow
    Kotlin DataFrame v0.14 comes with improvements for reading Apache Arrow format, especially loading a DataFrame from any ArrowReader. This improvement can be used to easily load results from analytical databases (such as DuckDB, ClickHouse) directly into Kotlin DataFrame. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Preact.js and Apache Arrow, you can also consider the following products

Svelte - Cybernetically enhanced web apps

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

React - A JavaScript library for building user interfaces

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

Vue.js - Reactive Components for Modern Web Interfaces

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

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