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Rectangle VS Google BigQuery

Compare Rectangle VS Google BigQuery and see what are their differences

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Rectangle logo Rectangle

Window management app based on Spectacle, written in Swift.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Rectangle Landing page
    Landing page //
    2023-05-20
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Rectangle features and specs

  • Ease of Use
    Rectangle offers an intuitive user interface that makes window management straightforward and user-friendly.
  • Customizable Shortcuts
    Users can easily configure keyboard shortcuts to better suit their workflow, making window management faster and more efficient.
  • Free
    Rectangle is available for free, making it accessible to anyone without the need for a financial investment.
  • Frequent Updates
    The app receives regular updates, introducing new features and ensuring compatibility with the latest macOS versions.
  • Lightweight
    Rectangle is a lightweight application that doesn't consume many system resources, ensuring smooth performance even on older Macs.

Possible disadvantages of Rectangle

  • Limited Advanced Features
    Rectangle lacks some of the more advanced features found in paid window management applications, such as multiple monitor support and more complex window arrangements.
  • MacOS Only
    Rectangle is only available for macOS, so users of other operating systems are unable to take advantage of its features.
  • Occasional Bugs
    Some users report occasional bugs or unpredictable behavior, which might require troubleshooting or waiting for a future update.
  • Learning Curve for Shortcuts
    While customizable shortcuts are a benefit, there is an initial learning curve for users to memorize and effectively use these shortcuts.
  • Basic Aesthetic
    The app's design and aesthetic are quite basic, lacking the polish and visual appeal found in some other similar tools.

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.

Analysis of Rectangle

Overall verdict

  • Overall, Rectangle is highly regarded for its ease of use, extensive customization options, and the fact that it is free and open-source. It provides essential functionality without unnecessary complexity, making it suitable for both casual users and power users who need efficient window management.

Why this product is good

  • Rectangle is a popular window management tool for macOS, known for its simplicity and ease of use. It allows users to efficiently organize and resize application windows using customizable keyboard shortcuts or by dragging windows into pre-defined areas of the screen. This can enhance productivity by minimizing the time spent arranging windows and improving multitasking capabilities.

Recommended for

    Rectangle is recommended for macOS users looking for a straightforward, lightweight solution to manage application windows. It is particularly beneficial for those who frequently work with multiple applications at once, including developers, designers, and anyone who values a tidy and organized desktop environment.

Analysis of Google BigQuery

Overall verdict

  • Google BigQuery is a powerful and flexible data warehouse solution that suits a wide range of data analytics needs. Its ability to handle large volumes of data quickly makes it a preferred choice for organizations looking to leverage their data effectively.

Why this product is good

  • Google BigQuery is a fully-managed data warehouse that simplifies the analysis of large datasets. It is known for its scalability, speed, and integration with other Google Cloud services. It supports standard SQL, has built-in machine learning capabilities, and allows for seamless data integration from various sources. The serverless architecture means that users don't need to worry about infrastructure management, and its pay-as-you-go model provides cost efficiency.

Recommended for

  • Businesses requiring fast processing of large datasets
  • Organizations that already utilize Google Cloud services
  • Companies looking for a cost-effective, scalable analytics solution
  • Teams interested in using SQL for data analysis
  • Data scientists integrating machine learning with their data workflows

Rectangle videos

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Google BigQuery videos

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Cloud Dataprep Tutorial - Getting Started 101

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Category Popularity

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

Rectangle

Google BigQuery

Mac Tools
100 100%
Mac Tools
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Window Manager
100 100%
Window Manager
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 Rectangle and Google BigQuery

Rectangle Reviews

Best 6 Mac Window Managers
Rectangle shows that you don’t need to dip into your bank account to get window resizer tools. This free Mac window manager lets you manage multiple windows using keyboard shortcuts, menu options, or by dragging and dropping. Just like Magnet, you can split your screen up into quarters, thirds, or halves.
Source: mackeeper.com
Top 6 Window Manager Apps for Mac
Most window manager apps for Mac support multiple monitors. They can help you move windows between screens and create custom layouts for each monitor. Many window manager apps – such as BetterSnapTool, Magnet, and Rectangle – offer this functionality.
Source: www.maketecheasier.com
The 6 Best Mac Window Management Tools
However, it might take some time for you to get used to the shortcuts in the Rectangle app since there are many. Furthermore, you can also add some of your apps to exceptions if you want to keep them away from Rectangle's shortcuts.
Source: www.makeuseof.com

Google BigQuery Reviews

Database for Data Analytics
Processing typeDescriptionUse casesCommon databasesProcessing typesProcesses data in scheduled intervals (hours, days). High-latency but cost-efficient for large datasets.Financial reporting, trend analysis, historical analyticsSnowflake, Amazon Redshift, Google BigQueryContinuously ingests and processes data with minimal latency for real-time decision-making.Fraud...
Source: blog.devart.com
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

Social recommendations and mentions

Based on our record, Rectangle seems to be a lot more popular than Google BigQuery. While we know about 480 links to Rectangle, we've tracked only 47 mentions of Google BigQuery. 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.

Rectangle mentions (480)

  • Apple introduces M6 and M5 Ultra for a big leap in performance and AI compute
    Rectangle solved my macos window management annoyances. https://rectangleapp.com/ Not involved in dev of this, just a happy user. - Source: Hacker News / 7 days ago
  • Ubuntu 26.04 LTS Released
    As a both old Linux and now decade user of MacOS, after I got used to no middle-click paste and no focus-follows-mouse: 1. Keyboard shortcuts are Emacs, Ctrl-A: start of line, E: end of line, K: kill selected or to end of line, Y to paste, etc. https://support.apple.com/en-au/102650#text 2. Karabiner elements (FOSS) fixes keyboard mappings outside of the Settings: https://karabiner-elements.pqrs.org/ 3. I have the... - Source: Hacker News / 4 months ago
  • Native Instant Space Switching on macOS
    Every macOS user uses Rectangle.app — https://rectangleapp.com The ones who don't use it is because they don’t know it exists. - Source: Hacker News / 5 months ago
  • Native Instant Space Switching on macOS
    I use https://rectangleapp.com/ and enjoy it. I have shortcuts to move windows to the left/right half of the screen, and cycle between monitors. This, combined with native cmd+tab and cmd+` is enough for me. - Source: Hacker News / 5 months ago
  • Make macOS consistently bad (unironically)
    Rectangle [1] is pretty much essential for me because of this. I use only a few keypresses (maximize window, move to one of the halves of the screen horizontally) but that is enough. My mouse very rately interacts with the borders of any window, or those buttons. I had to click on the green one that you mentioned in order to see what it did (yuck). [1] https://rectangleapp.com/. - Source: Hacker News / 5 months ago
View more

Google BigQuery mentions (47)

  • Ruby on Rails Performance: 7 Lessons from Scaling FirstPromoter
    We migrated the analytics layer to Google BigQuery. Same queries that timed out in PostgreSQL now run in under 2 seconds. But not everything belongs in BigQuery — we initially moved too aggressively and actually reverted some queries back when the added complexity wasn't justified. Our rule of thumb: if a query scans hundreds of thousands of rows or involves complex time-series aggregations, BigQuery. Everything... - Source: dev.to / 5 months ago
  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    Google BigQuery - For large-scale data processing and SQL-based analysis. - Source: dev.to / 6 months ago
  • What if ML pipelines had a lock file?
    Data Pipelines usually read from tables that change over time. Most of these tables are stored in a data warehouse like Amazon Redshift or Google BigQuery. Rows are added or removed. Backfills happen. A column gets renamed or its meaning changes. Even when teams snapshot data, those snapshots are often implicit, not recorded as part of the pipeline run itself. - Source: dev.to / 7 months ago
  • Best SQL Courses with Certificates for 2026
    SQL endures because it's the non-negotiable interface for relational data. Enterprise data storage still relies heavily on relational databases despite new alternatives. What makes SQL valuable for learners is transferability—while dialects differ across PostgreSQL, SQL Server, and BigQuery, the fundamentals stay consistent. - Source: dev.to / 9 months ago
  • Why Your Snowflake Bill is High and How to Fix It with a Hybrid Approach
    Within classic cloud data warehouses, Google BigQuery presents a different pricing model. Its on-demand, per-terabyte-scanned pricing can be cost-effective for sporadic forensic queries. But it carries the risk of a runaway query where a single mistake leads to a massive bill. - Source: dev.to / 10 months ago
View more

What are some alternatives?

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

Magnet Window Manager - Magnet Developers

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

yabai - A tiling window manager for macOS based on binary space partitioning

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.

BTT Remote - A remote control for you Mac, using your iPhone or iPad

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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