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Google BigQuery VS Backbone.js

Compare Google BigQuery VS Backbone.js and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
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Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.

Backbone.js logo Backbone.js

Give your JS App some Backbone with Models, Views, Collections, and Events
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Backbone.js Landing page
    Landing page //
    2018-09-30

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.

Backbone.js features and specs

  • Lightweight
    Backbone.js is minimal and lightweight, which means it has a small footprint and adds very little overhead to your project.
  • Flexibility
    Backbone.js provides a flexible structure to developers by allowing them to build their own MVC or MVP architectures using models, views, collections, and routers.
  • Ease of Integration
    Backbone.js can be easily integrated with other libraries and frameworks, such as jQuery or underscore.js, enhancing its capabilities without much difficulty.
  • Large Community
    Backbone.js has been around for a long time, resulting in a large community and a plethora of plugins and extensions that can be leveraged.
  • Detailed Documentation
    The official site offers comprehensive documentation which includes tutorials, examples, and a detailed API reference, aiding developers to understand and utilize the library efficiently.

Possible disadvantages of Backbone.js

  • Steeper Learning Curve
    New developers might find Backbone.js difficult to learn due to its non-opinionated nature and lack of enforced structure.
  • Sparse In-Built Features
    Backbone.js provides only the basic building blocks, requiring developers to write more boilerplate code or rely on external libraries for additional functionalities.
  • Outdated
    As newer frameworks and libraries (like React, Vue, and Angular) have emerged with more robust features and better performance, Backbone.js has somewhat fallen out of favor in modern development practices.
  • Event Binding Complexity
    Managing event bindings in Backbone.js can become complex and sometimes messy in large applications, which can lead to difficult maintenance and debugging.
  • Limited Two-Way Data Binding
    Backbone.js does not provide two-way data binding out-of-the-box, unlike other frameworks such as Angular, necessitating additional code to sync views and models.

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

Backbone.js videos

+ Add

Introduction to Backbone.js

More videos:

  • Review - Introduction to Backbone.js
  • Review - Backbone.js Code Review w Backbone.js Mentor Jonathon

Category Popularity

0-100% (relative to Google BigQuery and Backbone.js)

Google BigQuery

Backbone.js

Data Dashboard
100 100%
Data Dashboard
0% 0
JavaScript Framework
0 0%
JavaScript Framework
100% 100
Big Data
100 100%
Big Data
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
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 Google BigQuery and Backbone.js

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

Backbone.js Reviews

20 Next.js Alternatives Worth Considering
A veteran on the scene, Backbone.js is all about giving structure to your JavaScript-heavy applications. It’s standing the test of time, enabling you to keep your data logic and display logic neatly side by side, all while being lightweight.
Source: tms-outsource.com
9 Best JavaScript Frameworks to Use in 2023
Backbone.js is based on the Model View Controller (MVC) design pattern. The library supports seven components: Models, Views, Collections, Routers, Events, Sync, and Options. Backbone.js also provides an asynchronous communication layer that allows the application to communicate with a backend service.
Source: ninetailed.io
JavaScript: What Are The Most Used Frameworks For This Language?
Backbone.JS is a lightweight JavaScript library that provides a framework for developing structured and scalable web applications. It offers a set of tools for building client-side applications that interact with RESTful APIs. Backbone.JS is well-suited for developing single-page applications (SPAs) where most of the user interface is rendered in the browser, rather than...
Source: www.bocasay.com
20 Best JavaScript Frameworks For 2023
Backbone.js is a JavaScript-based framework that connects to an API via a RESTful JSON interface. Backbone.js is known for being small and light because it only requires jQuery and one JavaScript library, Underscore.js, to use the entire library.
Source: www.lambdatest.com
Top JavaScript Frameworks For Mobile App Development
Backbone JS is a JavaScript framework based on the MVP app design. As the name suggests, it acts as a strong backbone to your project. It is lightweight in nature and hence, is considered ideal for developing single-page applications. It offers a simplistic frontend and makes the best use of JavaScript functions.
Source: medium.com

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Backbone.js. 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.

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 / 24 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 / 29 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 / about 1 month 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

Backbone.js mentions (17)

  • JavaScript Views, the Hard Way – A Pattern for Writing UI
    Https://backbonejs.org/#View There is also a github repo that has examples of MVC patterns adapted to the web platform. - Source: Hacker News / 29 days ago
  • JavaScript evolution: From Lodash and Underscore to vanilla
    Underscore was created by Jeremy Ashkenas (the creator of Backbone.js) in 2009 to provide a set of utility functions that JavaScript lacked at the time. It was also created to work with Backbone.js, but it slowly became a favorite among developers who needed utility functions that they could just call and get stuff done with without having to worry about the inner implementations and browser compatibility. - Source: dev.to / 5 months ago
  • React is 10 years old
    Got it thanks for the context. I've read the web app and it seems to me it is just https://backbonejs.org/ re-written in Typescript and allows JSX. I'm very certain Typescript and JSX will have improved the DX for Backbone like apps, but it doesn't address all of the other issues that teams had with Backbone. e.g. Cyclical event propagation, state stored in the DOM (i.e. Appendchild is error prone in large code... - Source: Hacker News / almost 2 years ago
  • Just Simply – Stop saying how simple things are in our docs
    Even further nowadays, docs are created using Docusaurus. I don't have problem with it but documentation should be good (eye) friendly than easy to write. Why not be creative while writing docs such as - Backbone.js - https://backbonejs.org Or https://backbonejs.org/docs/backbone.html as code annotation. - Source: Hacker News / about 2 years ago
  • The Emperor's New Library
    What we see, a decade ago, are that many of the "popular" libraries, frameworks, and methods, not surprisingly, have gone by the wayside, a lot that have remained in current code as difficult-to-removemodernize legacy cruft (Bower, Gulp, Grunt, Backbone, Angular 1, ...), and then we have the small minority that are still here. Some that remain have had their utility lessened/questioned by platform and language... - Source: dev.to / over 2 years ago
View more

What are some alternatives?

When comparing Google BigQuery and Backbone.js, you can also consider the following products

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

AngularJS - AngularJS lets you extend HTML vocabulary for your application. The resulting environment is extraordinarily expressive, readable, and quick to develop.

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.

ExpressJS - Sinatra inspired web development framework for node.js -- insanely fast, flexible, and simple

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.

ember.js - A JavaScript framework for creating ambitious web apps

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