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Google BigQuery VS jQuery UI

Compare Google BigQuery VS jQuery UI and see what are their differences

Draxlr
Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface. featured
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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Google BigQuery logo Google BigQuery

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

jQuery UI logo jQuery UI

Curated set of user interface interactions, effects, widgets, and themes built on top of the jQuery JavaScript Library
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • jQuery UI Landing page
    Landing page //
    2021-10-17

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.

jQuery UI features and specs

  • Ease of Use
    jQuery UI simplifies creating and managing complex UI components with straightforward syntax and comprehensive documentation.
  • Compatibility
    jQuery UI is highly compatible with older browsers, offering a broader range of support compared to more modern frameworks.
  • Extensibility
    jQuery UI is designed to be modular and extendable, allowing developers to use only the components they need and easily extend or theming them.
  • Rich Set of Widgets
    It comes with a variety of pre-built widgets such as datepickers, accordions, and sliders, which can save development time.
  • Animated Effects
    jQuery UI includes many built-in animation effects that can enhance the user experience without requiring additional libraries.
  • Theming
    The library provides Themeroller, a tool that allows developers to create custom themes easily, ensuring UI consistency and branding.

Possible disadvantages of jQuery UI

  • Performance
    Due to its extensive feature set, jQuery UI can be relatively heavy, which may affect performance, particularly in resource-constrained environments.
  • Not Mobile-First
    jQuery UI is not designed with mobile-first principles in mind, making it less optimal for modern responsive web applications.
  • Learning Curve
    While easy to use for simple tasks, mastering jQuery UI for more complex applications may require a significant learning curve.
  • Dependency on jQuery
    Since jQuery UI relies on the jQuery library, it adds an additional dependency which can be limiting if you prefer or are required to use vanilla JS or another library.
  • Declining Popularity
    With the rise of modern frameworks like React, Vue, and Angular, jQuery UI has seen a decline in popularity and community support.
  • Limited Modern Features
    Compared to contemporary UI libraries, jQuery UI lacks some of the modern features and performance optimizations found in newer libraries.

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

jQuery UI videos

+ Add

jQuery UI tutorial: Adding a user interface with jQuery UI | lynda.com

More videos:

  • Review - jQuery UI Ultimate:Design Amazing Interfaces Using jQuery UI : Understanding the curriculum.

Category Popularity

0-100% (relative to Google BigQuery and jQuery UI)

Google BigQuery

jQuery UI

Data Dashboard
100 100%
Data Dashboard
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
100% 100
Big Data
100 100%
Big Data
0% 0
Development Tools
0 0%
Development Tools
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 jQuery UI

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

jQuery UI Reviews

We have no reviews of jQuery UI yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than jQuery UI. 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 / 18 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 / 23 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 / 29 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

jQuery UI mentions (15)

  • Let Me Talk About Component-based Front-end Development
    The once popular jQuery, with its strengths fully utilized in jQuery UI and Bootstrap, provides many UI components and is also friendly to backend developers, seemingly meeting the requirements. However, looking at their component implementation and resource loading forms—. - Source: dev.to / 4 months ago
  • 100+ Must-Have Web Development Resources
    jQuery UI: An open-source library for building user interfaces based on jQuery. - Source: dev.to / 7 months ago
  • What is a component library and should you build your own?
    Fortunately, when I started web development in earnest, many of these issues were ironed out. By this point, there were still a handful of libraries that made writing complex interfaces with cross-browser support a little easier. Jquery UI, the first component library I used, supported accordions and other widgets. But the browser is constantly evolving, and we now have a native way of implementing this accordion... - Source: dev.to / 9 months ago
  • Best ReactJS library for Drag-n-Drop Table for plugin Admin view?
    Because WordPress is already have these jQuery & jQuery UI libraries (https://jqueryui.com/). Source: almost 2 years ago
  • jQuery 3.6.2 Released
    We still use jQuery + jQuery UI on our website because it is basically battle tested through 15+ years. https://jqueryui.com/ It is easy as hell. What's there to not like? I don't care to be called names or being old fashioned. I also don't care about "right" tooling for frontend. As far it works and it is robust and it is going to be around for many years, I am fine with it. - Source: Hacker News / over 2 years ago
View more

What are some alternatives?

When comparing Google BigQuery and jQuery UI, 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?

jQuery - The Write Less, Do More, JavaScript Library.

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.

React Native - A framework for building native apps with React

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.

Babel - Babel is a compiler for writing next generation JavaScript.

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