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Vim VS Google BigQuery

Compare Vim VS Google BigQuery and see what are their differences

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Vim logo Vim

Highly configurable text editor built to enable efficient text editing

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Vim Landing page
    Landing page //
    2023-10-23
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Vim features and specs

  • Efficiency
    Once learned, Vim can significantly speed up text editing with its modal editing, keyboard shortcuts, and commands that allow for quick navigation and manipulation of text.
  • Lightweight
    Vim is a very lightweight editor, consuming minimal system resources, making it highly performant even on systems with lower specifications.
  • Customizability
    Vim is highly configurable and extensible through plugins and user-defined settings, allowing users to tailor the editor to their specific needs.
  • Ubiquity
    Vim is available on almost every Unix-like system and even on Windows, making it a ubiquitous tool that you can rely on being available in most environments.
  • Support for Multiple Programming Languages
    Vim supports a wide range of programming languages out of the box and offers syntax highlighting, which can be enhanced through plugins.
  • Powerful Search and Replace
    Vim offers robust searching and replacing functionalities, including support for regular expressions, which can be a powerful tool for developers.

Possible disadvantages of Vim

  • Steep Learning Curve
    Vim's modal editing and extensive set of commands can be daunting for new users, requiring significant time and effort to master.
  • Minimal Default Config
    The default configuration of Vim is quite minimalistic, which may necessitate additional setup and customization to meet modern development needs.
  • Limited GUI
    Vim primarily operates in a terminal, and while there are graphical variants like GVim, they are not as feature-rich or user-friendly as modern GUI editors.
  • Plugin Management
    While Vim is highly extensible, managing and configuring plugins can be cumbersome compared to more modern editors that offer integrated plugin management.
  • Inconsistent Behavior Across Platforms
    There may be inconsistencies in behavior or available features of Vim across different operating systems, which can complicate its use in certain environments.
  • Lack of Integrated Modern Features
    Vim lacks some modern IDE features like integrated debugging, advanced code introspection, and refined autocompletion, which often require third-party plugins to achieve.

Google BigQuery features and specs

  • Scalability
    BigQuery can effortlessly scale to handle large volumes of data due to its serverless architecture, thereby reducing the operational overhead of managing infrastructure.
  • Speed
    It leverages Google's infrastructure to provide high-speed data processing, making it possible to run complex queries on massive datasets in a matter of seconds.
  • Integrations
    BigQuery easily integrates with various Google Cloud Platform services, as well as other popular data tools like Looker, Tableau, and Power BI.
  • Automatic Optimization
    Features like automatic data partitioning and clustering help to optimize query performance without requiring manual tuning.
  • Security
    BigQuery provides robust security features including IAM roles, customer-managed encryption keys, and detailed audit logging.
  • Cost Efficiency
    The pricing model is based on the amount of data processed, which can be cost-effective for many use cases when compared to traditional data warehouses.
  • Managed Service
    Being fully managed, BigQuery takes care of database administration tasks such as scaling, backups, and patch management, allowing users to focus on their data and queries.

Possible disadvantages of Google BigQuery

  • Cost Predictability
    While the pay-per-use model can be cost-efficient, it can also make cost forecasting difficult. Unexpected large queries could lead to higher-than-anticipated costs.
  • Complexity
    The learning curve can be steep for those who are not already familiar with SQL or Google Cloud Platform, potentially requiring training and education.
  • Limited Updates
    BigQuery is optimized for read-heavy operations, and it can be less efficient for scenarios that require frequent updates or deletions of data.
  • Query Pricing
    Costs are based on the amount of data processed by each query, which may not be suitable for use cases that require frequent analysis of large datasets.
  • Data Transfer Costs
    While internal data movement within Google Cloud can be cost-effective, transferring data to or from other services or on-premises systems can incur additional costs.
  • Dependency on Google Cloud
    Organizations heavily invested in multi-cloud or hybrid-cloud strategies may find the dependency on Google Cloud limiting.
  • Cold Data Performance
    Query performance might be slower for so-called 'cold data,' or data that has not been queried recently, affecting the responsiveness for some workloads.

Vim videos

+ Add

What Vim Is and Why You Should Learn It

More videos:

  • Review - JAC Vapour VIM Review - JAC does a side by side mod...
  • Review - Jac Vapour VIM - Quick Look

Google BigQuery videos

+ Add

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Category Popularity

0-100% (relative to Vim and Google BigQuery)

Vim

Google BigQuery

Text Editors
100 100%
Text Editors
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
IDE
100 100%
IDE
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Vim and Google BigQuery. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Vim and Google BigQuery

Vim Reviews

Boost Your Productivity with These Top Text Editors and IDEs
Vim offers a variety of features like split windows, macros, and extensive customization options. It has a steep learning curve, but once you master it, you’ll be amazed at the speed and productivity it brings to your coding workflow. Vim is a favorite among experienced developers who value speed and efficiency above all else.
Source: convesio.com
13 Best Text Editors to Speed up Your Workflow
It’s tough to say which developers would enjoy Vim as a text editor. It’s an old system with an outdated interface. Yet, it still has the charm and powerful feature-set that the average developer needs. I would recommend it to more advanced developers who enjoy using open source software and being a part of a community–like the one you can find behind Vim.
Source: kinsta.com
12 Best LaTeX Editors You Should Use
The entire installation process is perfectly documented on their Sourceforge page, which you must definitely pay a visit. There is another standalone Vim software, known as the gVim that brings a GUI-based interface to the Vim document editor. Vim-LaTeX has been developed specifically for the programmers and it is so highly configurable that it can function anyway, ranging...
Source: beebom.com
The Top 7 Notepad++ Alternatives for You
Vim is a totally free Notepad++ alternative. It is available to use on Windows, Mac and Linux computers and it is very powerful. I was able to customize Vim to get it to look and function just how I want it. There is really good help support with Vim so if you are new to programming it will get you through most issues.
Source: www.technize.com
10 Best Notepad++ Alternatives in 2020
Vim is an advanced text editor open source tool which is also considered to be an IDE in its way. This tool allows managing your text editing activities with vim editors and UNIX System which can be used on-premise or online.
Source: www.guru99.com

Google BigQuery Reviews

Data Warehouse Tools
Google BigQuery: Similar to Snowflake, BigQuery offers a pay-per-use model with separate charges for storage and queries. Storage costs start around $0.01 per GB per month, while on-demand queries are billed at $5 per TB processed.
Source: peliqan.io
Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Source: www.shipyardapp.com
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.
Source: www.analytixlabs.co.in

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Vim. It has been mentiond 42 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.

Vim mentions (10)

  • regular Vim has lua?!
    Lua is quite small, encouraging distros to include it. The ubuntu gvim has, and the gvim AppImage linked from vim.org does. The default Makefile from github is set up to not include it, but you can uncomment one line there to get it. Source: about 2 years ago
  • is there a way to make highlighted text persistent after quit when using something like [match Search /\%'.line('.').'l/] ?
    I've not used vimwiki locally (tho I'm old enough to remember the Vim wiki on vim.org :), but I think what you are wanting to do is extend vimwiki's syntax file. I presume it installs one at $VIMRUNTIM/syntax or or ~/.vim/syntax. If this sounds right, then create a ~/.vim/after/syntax/vimwiki.vim file and place your match command in there. Then everytime you open a vimwiki file it should apply your... Source: over 2 years ago
  • vim.org - Is there a reason for this 1800s-esque design?
    Vim.org has 242k total visitors, tailwindcss.com has 4.4m, planetscale.com has 412k, jpl.nasa.gov has 2.6m, all built with Tailwind, all several years younger than Vim's website. Unnecessary comparison, unnecessary defence. It's a valuable tool, fine, but a complete disregard for anyone who doesn't love a crappy website and would like to navigate a website like a normal human is not something to be defended. Maybe... Source: over 2 years ago
  • What is YOUR process of writing ?
    I write in Vim with some customizations in my vimrc to gear it more towards prose writing than code editing. It's not pretty, but Normal Mode and Ex commands are the most powerful text editing tools out there, so that means I spend less time on making corrections and other edits. Source: about 3 years ago
  • Why developers need to know about Vim
    If you are open minded and would like to try it out, click me for more information! Cheers. - Source: dev.to / over 3 years ago
View more

Google BigQuery mentions (42)

  • Every Database Will Support Iceberg — Here's Why
    This isn’t hypothetical. It’s already happening. Snowflake supports reading and writing Iceberg. Databricks added Iceberg interoperability via Unity Catalog. Redshift and BigQuery are working toward it. - Source: dev.to / 13 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Many of these companies first tried achieving real-time results with batch systems like Snowflake or BigQuery. But they quickly found that even five-minute batch intervals weren't fast enough for today's event-driven needs. They turn to RisingWave for its simplicity, low operational burden, and easy integration with their existing PostgreSQL-based infrastructure. - Source: dev.to / 18 days ago
  • How to Pitch Your Boss to Adopt Apache Iceberg?
    If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / 24 days ago
  • Study Notes 2.2.7: Managing Schedules and Backfills with BigQuery in Kestra
    BigQuery Documentation: Google Cloud BigQuery. - Source: dev.to / 3 months ago
  • Docker vs. Kubernetes: Which Is Right for Your DevOps Pipeline?
    Pro Tip: Use Kubernetes operators to extend its functionality for specific cloud services like AWS RDS or GCP BigQuery. - Source: dev.to / 6 months ago
View more

What are some alternatives?

When comparing Vim and Google BigQuery, you can also consider the following products

VS Code - Build and debug modern web and cloud applications, by Microsoft

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Sublime Text - Sublime Text is a sophisticated text editor for code, html and prose - any kind of text file. You'll love the slick user interface and extraordinary features. Fully customizable with macros, and syntax highlighting for most major languages.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

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