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Modern CSV VS OctoSQL

Compare Modern CSV VS OctoSQL and see what are their differences

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Contents:
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  2. » Reviews
  3. » Alternatives

Modern CSV logo Modern CSV

A CSV editor/viewer

OctoSQL logo OctoSQL

OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL. - cube2222/octosql
  • Modern CSV Landing page
    Landing page //
    2023-08-18

Modern CSV is an intuitive editor for tabular data. Its capabilities include: - Multi-cell editing - Quick loading of large files - Filter and sort data - Find/replace data with regular expressions

  • OctoSQL Landing page
    Landing page //
    2023-08-26

Modern CSV

Website
moderncsv.com
Pricing URL
Official Modern CSV Pricing
$ Details
freemium $29.0 / One-off (Valid for the current major version.)
Platforms
Windows Mac OSX Linux
Edit details

OctoSQL

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Edit details

Modern CSV features and specs

  • Fast Loading and Editing
    Modern CSV boasts high performance, being able to handle large CSV files efficiently. This can significantly save time when working with extensive datasets.
  • Multi-Cell Editing
    The software allows for the manipulation of multiple cells at once, including batch editing operations such as search and replace, which speeds up data processing.
  • Advanced Navigation
    Users can quickly navigate through their data using various keyboard shortcuts and other navigation tools, designed to improve workflow efficiency.
  • Customizable Interface
    Modern CSV offers a range of customization options for the user interface, allowing users to tailor the workspace to their specific needs.
  • Cross-Platform Compatibility
    The application is available for Windows, macOS, and Linux, making it accessible to a wide range of users across different operating systems.
  • Data Validation
    Modern CSV includes features for data validation, helping to ensure data integrity and reduce errors during data entry and manipulation.

Possible disadvantages of Modern CSV

  • Price
    Modern CSV is a paid software, which might be a downside for individuals or small businesses looking for a free solution.
  • Learning Curve
    With its rich feature set, there could be a steeper learning curve for new users unfamiliar with the advanced functionalities of the software.
  • Limited Collaboration Features
    Unlike some web-based CSV editors, Modern CSV lacks built-in real-time collaboration features, making it less suitable for team projects requiring simultaneous editing.
  • No Mobile Version
    There is no mobile application available for Modern CSV, limiting its accessibility for users who prefer or need to manage CSV files on mobile devices.
  • Dependency on System Resources
    Handling very large files, even though the software is optimized, can still consume considerable system resources, potentially slowing down other applications.

OctoSQL features and specs

  • Unified Query Interface
    OctoSQL allows users to query multiple data sources with a single SQL-like interface, simplifying data management and analysis across different systems.
  • Multi-Source Connectivity
    It supports a wide range of data sources, including SQL databases, NoSQL databases, files, and streaming data, which increases its versatility for data integration.
  • Open Source
    Being open source, users can contribute to its development, inspect its code for transparency, and adapt it according to specific needs.
  • Lightweight
    OctoSQL is a lightweight tool, making it ideal for environments where resources are scarce or a quick setup is necessary.

Possible disadvantages of OctoSQL

  • Limited Community Support
    Compared to more established tools, OctoSQL may have limited community support, leading to potential challenges in resolving issues or finding resources.
  • Emerging Tool
    As an evolving project, OctoSQL might not have the extensive feature set or stability found in more mature, enterprise-grade data integration solutions.
  • Scalability Concerns
    For very large datasets or highly complex querying requirements, OctoSQL might face performance bottlenecks compared to specialized data processing engines.

Analysis of Modern CSV

Overall verdict

  • Modern CSV is generally considered a strong choice for users who need a reliable and feature-rich tool to work with CSV files. Its performance and range of functionalities make it a good investment for both casual users and data professionals alike.

Why this product is good

  • Modern CSV is a powerful and versatile CSV editor that offers a wide range of features designed to handle large datasets efficiently. It provides an intuitive user interface, robust data manipulation tools, and advanced features such as multi-cursor editing, custom shortcuts, and extensive data filtering options. Additionally, it supports large data files without compromising performance and is available on multiple platforms, making it a convenient and flexible choice for users dealing with CSV files frequently.

Recommended for

    Modern CSV is recommended for data analysts, data scientists, accountants, and any users who regularly work with large CSV datasets and require a powerful tool with advanced editing and data manipulation capabilities.

Category Popularity

0-100% (relative to Modern CSV and OctoSQL)

Modern CSV

OctoSQL

CSV Editors
100 100%
CSV Editors
0% 0
Databases
0 0%
Databases
100% 100
Spreadsheets
100 100%
Spreadsheets
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Modern CSV and OctoSQL. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, OctoSQL seems to be more popular. It has been mentiond 23 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.

Modern CSV mentions (0)

We have not tracked any mentions of Modern CSV yet. Tracking of Modern CSV recommendations started around Mar 2021.

OctoSQL mentions (23)

  • Feldera Incremental Compute Engine
    This looks extremely cool. This is basically incremental view maintenance in databases, a problem that almost everybody (I think) has when using SQL databases and wanting to do some derived views for more performant access patterns. Importantly, they seem to support a wide breath of SQL operators, and it's open-source! There's already a bunch of tools in this area: 1. Materialize[0], which afaik is more... - Source: Hacker News / about 1 year ago
  • Analyzing multi-gigabyte JSON files locally
    OctoSQL[0] or DuckDB[1] will most likely be much simpler, while going through 10 GB of JSON in a couple seconds at most. Disclaimer: author of OctoSQL [0]: https://github.com/cube2222/octosql. - Source: Hacker News / over 2 years ago
  • DuckDB: Querying JSON files as if they were tables
    This is really cool! With their Postgres scanner[0] you can now easily query multiple datasources using SQL and join between them (i.e. Postgres table with JSON file). Something I strived to build with OctoSQL[1] before. It's amazing to see how quickly DuckDB is adding new features. Not a huge fan of C++, which is right now used for authoring extensions, it'd be really cool if somebody implemented a Rust extension... - Source: Hacker News / over 2 years ago
  • Show HN: ClickHouse-local – a small tool for serverless data analytics
    Congrats on the Show HN! It's great to see more tools in this area (querying data from various sources in-place) and the Lambda use case is a really cool idea! I've recently done a bunch of benchmarking, including ClickHouse Local and the usage was straightforward, with everything working as it's supposed to. Just to comment on the performance area though, one area I think ClickHouse could still possibly improve... - Source: Hacker News / over 2 years ago
  • Command-line data analytics made easy
    SPyQL is really cool and its design is very smart, with it being able to leverage normal Python functions! As far as similar tools go, I recommend taking a look at DataFusion[0], dsq[1], and OctoSQL[2]. DataFusion is a very (very very) fast command-line SQL engine but with limited support for data formats. Dsq is based on SQLite which means it has to load data into SQLite first, but then gives you the whole breath... - Source: Hacker News / almost 3 years ago
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What are some alternatives?

When comparing Modern CSV and OctoSQL, you can also consider the following products

CSVpad - CSVpad is a handy free CSV (Comma-separated values) editor.

Materialize - A Streaming Database for Real-Time Applications

CSV Editor Pro - The professional choice for working with CSV files.

LNAV - The Log File Navigator (lnav) is an advanced log file viewer for the console.

Rons CSV Editor - Rons CSV Editor / Now Rons Data Edit

Steampipe - Steampipe: select * from cloud; The extensible SQL interface to your favorite cloud APIs select * from AWS, Azure, GCP, Github, Slack etc.

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