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GNU Screen VS Apache Arrow

Compare GNU Screen VS Apache Arrow and see what are their differences

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

GNU Screen logo GNU Screen

Screen is a full-screen window manager that multiplexes a physical terminal between several...

Apache Arrow logo Apache Arrow

Apache Arrow is a cross-language development platform for in-memory data.
  • GNU Screen Landing page
    Landing page //
    2021-07-31
  • Apache Arrow Landing page
    Landing page //
    2021-10-03

GNU Screen features and specs

  • Session Management
    GNU Screen allows you to detach and reattach sessions, making it possible to keep applications running in the background even if you disconnect from a terminal session.
  • Multiple Windows
    It provides the ability to open multiple windows within a single terminal session, allowing you to manage different tasks concurrently without opening additional shell instances.
  • Terminal Sharing
    Screen supports terminal sharing, enabling multiple users to view and interact with the same terminal session, which is useful for collaborative work and troubleshooting.
  • Scrollback History
    You have access to scrollback history, allowing you to review command output and logs even after they've disappeared from view in the normal terminal.
  • Customizability
    GNU Screen provides extensive options for customization through its configuration file, enabling users to tailor keybindings, appearances, and functionalities to their preferences.
  • Resource Efficiency
    Being a text-based application, GNU Screen is extremely light on system resources, making it suitable for use on systems with limited computational power or memory.

Possible disadvantages of GNU Screen

  • Steep Learning Curve
    New users may find GNU Screen's interface and command syntax difficult to learn and use efficiently, especially without dedicated tutorials or documentation.
  • Outdated User Interface
    Compared to more modern terminal multiplexers like tmux, GNU Screen may feel outdated in terms of user interfaces and ease of use.
  • Limited Functionality
    While robust for basic session management, GNU Screen lacks some of the advanced functionalities and features found in newer tools, such as better scripting integrations and extended multi-pane support.
  • Configuration Complexity
    The process of configuring the .screenrc file to achieve certain custom setups can be cumbersome and unintuitive for some users.
  • Competition from Alternatives
    Alternatives like tmux offer similar functionalities with more modern features, resulting in a decline in the usage of GNU Screen among new users.

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.

GNU Screen videos

+ Add

GNU Screen

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 GNU Screen and Apache Arrow)

GNU Screen

Apache Arrow

SSH
100 100%
SSH
0% 0
Databases
0 0%
Databases
100% 100
Terminal Tools
100 100%
Terminal Tools
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using GNU Screen and Apache Arrow. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Apache Arrow seems to be more popular. 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.

GNU Screen mentions (0)

We have not tracked any mentions of GNU Screen yet. Tracking of GNU Screen recommendations started around Mar 2021.

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 GNU Screen 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.

Zellij - A terminal workspace with batteries included

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.

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