Software Alternatives, Accelerators & Startups

Google BigQuery VS Ionic

Compare Google BigQuery VS Ionic and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Google BigQuery logo Google BigQuery

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

Ionic logo Ionic

Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • Ionic Landing page
    Landing page //
    2023-07-12

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.

Ionic features and specs

  • Cross-Platform Development
    Ionic allows developers to build applications for multiple platforms such as iOS, Android, and the web using a single codebase. This significantly reduces development time and costs.
  • Rich UI Components
    Ionic provides a wide range of pre-built UI components that are customizable and designed to look and feel native on all devices. This makes it easier to create visually appealing and consistent interfaces.
  • Integration with Angular
    Ionic is tightly integrated with Angular, a popular and widely-used front-end framework. This integration provides a robust architecture for building complex applications.
  • Active Community and Extensive Documentation
    Ionic has an active community and extensive documentation, tutorials, and resources. This makes it easier for developers to find support and resolve issues.
  • Cordova and Capacitor Plugins
    Ionic apps can leverage Cordova and Capacitor plugins to access native device features like the camera, GPS, and file system, providing near-native functionality.

Possible disadvantages of Ionic

  • Performance Issues
    Because Ionic uses WebView for rendering, performance can sometimes be inferior to native applications, particularly for highly interactive or graphically intensive applications.
  • Dependency on Third-Party Plugins
    Ionic heavily relies on third-party plugins for accessing native features. If these plugins are not well-maintained or lack support for certain functionalities, it can lead to challenges.
  • Learning Curve
    While Ionic simplifies cross-platform development, it still requires familiarity with web technologies like JavaScript, CSS, and HTML, as well as frameworks like Angular. This could be a steep learning curve for developers not versed in these technologies.
  • File Size
    Ionic applications tend to have a larger file size compared to native applications, mainly due to the inclusion of WebView and other dependencies. This can impact download times and initial load performance.
  • Rendering Delays
    There can be noticeable delays in UI rendering, especially on older devices, due to the abstraction layer that Ionic provides over native components.

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

Analysis of Ionic

Overall verdict

  • Ionic is a good choice for startups, small to medium-sized businesses, and developers who are looking to rapidly build and deploy mobile apps with a consistent look and feel across devices. It is particularly useful when the apps don't require intensive use of native capabilities and where development speed is more important than the performance of strictly native apps.

Why this product is good

  • Ionic is a popular open-source framework used for developing cross-platform mobile applications. It combines HTML, CSS, and JavaScript with front-end frameworks like Angular, React, or Vue to create hybrid applications. Its main advantages are ease of use, a rich component library, and the ability to write once and deploy across multiple platforms, saving time and resources.

Recommended for

  • Developers looking for a single codebase for multiple platforms.
  • Teams that are already proficient in web technologies such as HTML, CSS, and JavaScript.
  • Projects that have simple or moderate use of device hardware and native capabilities.
  • Businesses prioritizing rapid development and deployment over maximizing native performance.

Google BigQuery videos

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

Ionic videos

Fitbit Ionic smartwatch review

More videos:

  • Review - Fitbit Ionic Review (IN-DEPTH)
  • Review - Fitbit Versa 2 vs Ionic | Fitness Smartwatch Review (NEW)

Category Popularity

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Data Dashboard
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Development Tools
0 0%
100% 100
Big Data
100 100%
0% 0
Developer Tools
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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 Ionic

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...
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.

Ionic Reviews

Top 10 Flutter Alternatives for Cross-Platform App Development
Ionic is mainly known for its simplicity and, thus, is an appropriate choice for those who have a small team or own startups. The framework is popular for its predesigned UI components, which catalyze the overall development process.
Exploring 15 Powerful Flutter Alternatives
Ionic is an open-source UI framework that uses web technologies like HTML, CSS, and JavaScript to build progressive web and mobile apps. Ionic shines for apps centered around forms, lists, and data. The extensive UI components and flexible layout options facilitate quickly scaffolding up CRM-style interfaces for managing records and inventory without needing to style every...
Should I use Moxly to create Ionic apps faster? Ionic vs Moxly
It’s always important that an app is responsive and especially important with Ionic, which is designed to reach multiple platforms with one codebase. This is not supported by Moxly, which is not good in the realm of Ionic. That’s where things look different again with Ionic. There you can create Responsive Apps and websites.
THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
One codebase. Any platform. Now in React and Angular. Ionic Framework is an open-source mobile UI toolkit for building high-quality, cross-platform native and web app experiences. Move faster with a single codebase, running everywhere. Free and open-source, Ionic offers a library of mobile-optimized UI components, gestures, and tools for building fast highly interactive apps.
Android Studio Alternative
Ionic framework is an open-source UI toolkit that allows web technologies to be used to create high-quality mobile and desktop applications. Ionic architecture is based on the user interface or user experience of the application. It’s simple to understand, integrate, or utilize without a front frame using a simple script that incorporates other libraries or frameworks like...
Source: www.educba.com

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than Ionic. 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 / about 1 month 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 / about 1 month 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 / 4 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

Ionic mentions (10)

  • Hello from Team OutSystems!
    As you may remember, Ionic, the company where I’ve worked as a Developer Advocate for the past year and a half, was acquired in late 2022 by OutSystems. As part of that acquisition, I’m excited to announce that I transitioned to a Lead Developer Advocate position on the OutSystems side of the house this past November. In my new role, I will continue doing what I love – making it easier for developers to build... - Source: dev.to / over 1 year ago
  • Best Programming language to create Mobile Application ?
    You're looking for a framework to build a progressive web app. Such as Ionic: https://ionic.io/. Source: almost 2 years ago
  • What is this type of styling called?
    Some website's that I've collected that use the styling I'm on about; Ionic.io, spline.design, wickedbackgrounds.com, coolbackgrounds.io,. Source: about 3 years ago
  • Android Games with Capacitor and JavaScript
    In the past I would have used something like Cordova, but this new thing from the folks at Ionic has TypeScript support out of the box for their native APIs and support for using any Cordova plugins you might miss. - Source: dev.to / over 3 years ago
  • 10 Reasons to Choose Ionic for Mobile Development
    Ionic is the only cross-platform development stack that has Enterprise support and integrations for teams building employee and customer-facing apps. Ionic offers dedicated support, security features like Biometrics and Single Sign-on, and cloud services for remote app updates, app builds, and app store distribution. - Source: dev.to / almost 4 years ago
View more

What are some alternatives?

When comparing Google BigQuery and Ionic, 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?

React Native - A framework for building native apps with React

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.

Apache Cordova - Platform for building native mobile applications using HTML, CSS and JavaScript

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.

NativeScript - Build truly native apps with JavaScript