Software Alternatives, Accelerators & Startups

Zellij VS Apache Arrow

Compare Zellij VS Apache Arrow and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Zellij logo Zellij

A terminal workspace with batteries included

Apache Arrow logo Apache Arrow

Apache Arrow is a cross-language development platform for in-memory data.
  • Zellij Landing page
    Landing page //
    2021-04-23
  • Apache Arrow Landing page
    Landing page //
    2021-10-03

Zellij features and specs

  • User-Friendly Interface
    Zellij offers an intuitive and customizable interface which simplifies navigation and enhances user productivity.
  • Plugin System
    The terminal has a powerful plugin system that allows users to extend its functionalities and tailor it to their needs.
  • Modern Tiling
    Zellij provides advanced tiling capabilities, making it easier to manage multiple terminal windows and increase workspace efficiency.
  • Open Source
    Being open source, Zellij encourages community contributions, fostering community-driven improvements and transparency.
  • Cross-Platform Support
    Zellij is designed to work across different operating systems, ensuring a wide range of users can benefit from its features.

Possible disadvantages of Zellij

  • Learning Curve
    New users may experience a learning curve due to its unique features and customization options when transitioning from other terminal emulators.
  • Performance Overhead
    Zellij may introduce some performance overhead compared to more minimalist terminal applications, particularly on less powerful systems.
  • Limited User Base
    As a relatively new tool, Zellij has a smaller user base which might affect the availability of community-created plugins and support.
  • Bug Maturity
    Like any new software, Zellij may have unresolved bugs and issues that could affect stability until it matures further.

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.

Zellij videos

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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)

Category Popularity

0-100% (relative to Zellij and Apache Arrow)
SSH
100 100%
0% 0
Databases
0 0%
100% 100
Terminal Tools
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Apache Arrow should be more popular than Zellij. It has been mentiond 38 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.

Zellij mentions (10)

  • Switching from tmux to Zellij
    Tmux is not just a terminal multiplexer though, it's a lot more than that. But this post is not about tmux. It's about me switching from tmux to Zellij. Why? Because Zellij is just better, and with a lot more batteries included. - Source: dev.to / 4 months ago
  • Switching to Linux: Reclaim Your Freedom
    > has horrible window management I keep thinking I'll get used to it, but it's been years and every day I hate it a little more. My escape is to maximize a terminal on a large monitor and use https://zellij.dev/ as my "window manager". - Source: Hacker News / 4 months ago
  • TIL: Ghostty — a new and quite promising terminal emulator
    While design is an important part to some degree, there is something more that I've become observing and, therefore, liking lately: the reasonable default configs of the apps, which mean that the majority of the users will never need to mess with configs at all. Here is a great post by Arne about this trend which lists such tools like Fish (mentioned above), Helix, Lazygit, Zellij, k9s, etc. And that a very... - Source: dev.to / 5 months ago
  • Okay, I Like WezTerm
    For tmux replacement, check out zellij for a modern take. https://zellij.dev/. - Source: Hacker News / 10 months ago
  • How to Fuzzy Search: Finding File Names and Contents using Bash Scripting and Commandline Tools
    I have this hooked up with [`zellij`](https://zellij.dev/) and did a keybind with `⌥ + p`. ```nginx title="~/.config/zellij/config.kdl" showLineNumbers=false Keybinds { normal { ... bind "π" { Run "vicontrolp" { close_on_exit true; in_place true; } } } }. - Source: dev.to / 12 months ago
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Apache Arrow mentions (38)

  • 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 / 6 months 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 / 8 months ago
  • Kotlin DataFrame ❤️ 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 1 year ago
  • Shades of Open Source - Understanding The Many Meanings of "Open"
    It's this kind of certainty that underscores the vital role of the Apache Software Foundation (ASF). Many first encounter Apache through its pioneering project, the open-source web server framework that remains ubiquitous in web operations today. The ASF was initially created to hold the intellectual property and assets of the Apache project, and it has since evolved into a cornerstone for open-source projects... - Source: dev.to / 12 months ago
  • Arrow Flight SQL in Apache Doris for 10X faster data transfer
    Apache Doris 2.1 has a data transmission channel built on Arrow Flight SQL. (Apache Arrow is a software development platform designed for high data movement efficiency across systems and languages, and the Arrow format aims for high-performance, lossless data exchange.) It allows high-speed, large-scale data reading from Doris via SQL in various mainstream programming languages. For target clients that also... - Source: dev.to / about 1 year ago
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What are some alternatives?

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

tmux - tmux is a terminal multiplexer: it enables a number of terminals (or windows), each running a...

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

wezterm - GPU-accelerated cross-platform terminal emulator and multiplexer made with Rust.

Apache Ignite - high-performance, integrated and distributed in-memory platform for computing and transacting on...

byobu - Byobu is a GPLv3 open source text-based window manager and terminal multiplexer.

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