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Microsoft Visual Studio VS Google BigQuery

Compare Microsoft Visual Studio VS Google BigQuery and see what are their differences

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Microsoft Visual Studio logo Microsoft Visual Studio

Microsoft Visual Studio is an integrated development environment (IDE) from Microsoft.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Microsoft Visual Studio Landing page
    Landing page //
    2023-01-18
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Microsoft Visual Studio features and specs

  • Comprehensive Development Environment
    Microsoft Visual Studio offers a robust and comprehensive integrated development environment (IDE) that supports multiple programming languages, including C#, VB.NET, F#, C++, and Python. This makes it versatile for a wide variety of development needs.
  • Rich Feature Set
    The platform provides an extensive set of built-in tools and features, such as code analysis, debugging, and version control. These tools improve productivity and help maintain code quality.
  • IntelliSense
    Visual Studio’s IntelliSense offers powerful code completion, highlighting, and suggestion features that enhance the coding experience and reduce the likelihood of errors.
  • Integration with Azure and Other Microsoft Services
    The IDE integrates seamlessly with Microsoft Azure and other Microsoft services, making it easier to develop, deploy, and manage applications in the cloud.
  • Large Community and Support
    As a popular IDE, Visual Studio has a large user base and an active community. This results in a wealth of resources, including tutorials, forums, and extensions.
  • Customizability
    Visual Studio allows extensive customization through extensions and plugins, enabling developers to tailor the IDE to meet their specific needs.

Possible disadvantages of Microsoft Visual Studio

  • Resource Intensive
    Visual Studio is known to be resource-heavy, requiring significant system memory and processing power. This can slow down development, especially on less powerful machines.
  • Complexity
    The abundance of features and tools in Visual Studio can make it overwhelming for beginners or those new to the IDE. Navigating through its numerous menus and options can be challenging initially.
  • Cost
    While Visual Studio Express is free, many advanced features and professional tools are only available in the paid versions (Professional and Enterprise). This can be a drawback for individual developers and small businesses with restricted budgets.
  • Frequent Updates
    Although frequent updates can bring new features and improvements, they can also introduce bugs and require ongoing time investment to manage transitions and adapt to changes.
  • Windows-Centric
    While Visual Studio now supports macOS, it is traditionally Windows-centric and may not provide the same level of performance or features on other operating systems compared to its Windows counterpart.
  • Learning Curve
    Due to its extensive feature set and capabilities, there is a steep learning curve associated with Visual Studio. It may take considerable time for new users to become proficient.

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 Microsoft Visual Studio

Overall verdict

  • Yes, Microsoft Visual Studio is considered a highly capable and feature-rich IDE, suitable for both beginners and experienced developers.

Why this product is good

  • Microsoft Visual Studio is widely regarded as a powerful and versatile integrated development environment (IDE). It supports a broad range of programming languages including C++, C#, Python, and more, making it a popular choice for developers working on diverse projects. With features like IntelliSense, integrated debugging, and version control, it enhances productivity and simplifies complex workflows. Its extensibility through extensions and plugins further customizes the development experience to suit individual needs.

Recommended for

  • Professional developers seeking a comprehensive IDE for large-scale projects.
  • Beginner programmers looking for an intuitive and supportive environment to learn coding.
  • Teams that require robust collaboration and version control tools integrated into their development workflow.
  • Developers working with Microsoft technologies, such as .NET, or those integrating with Azure services.

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

Microsoft Visual Studio videos

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Google BigQuery videos

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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 Microsoft Visual Studio and Google BigQuery)

Microsoft Visual Studio

Google BigQuery

IDE
100 100%
IDE
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Text Editors
100 100%
Text Editors
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 Microsoft Visual Studio and Google BigQuery

Microsoft Visual Studio Reviews

9 Of The Best Android Studio Alternatives To Try Out
Microsoft Visual Studio (Download Here) is an Android studio alternative developed by Microsoft. You can build computer programs, websites, web services, and web applications and use platforms like windows forms, windows stores, Microsoft Silverlight, and Windows API.
Source: technicalustad.com
What's The Best C++ IDE? Our Top C++ IDEs & Editors In 2024
As you'd expect, this IDE supports a vast array of C++ standards, libraries, and frameworks, catering to legacy applications and modern, cutting-edge projects. So whether you're building a simple console application or a high-performance game using Unreal Engine, Visual Studio is up to the job.
Source: hackr.io
Android Studio Alternative
Visual Studio is the best alternative for android studio. It is an IDE platform developed by Microsoft. It is used to build computer programs, website, web apps, mobile apps and web services. It uses various Microsoft software development platforms such as windows forms, windows API, windows store, windows presentation foundation and microsoft silverlight. Visual studio has...
Source: www.educba.com
Top 10 Visual Studio Alternatives
Visual studio has been in the game for 20 years or more. The first version of the visual studio was established in 1997. However, since the establishment years of the Visual Studio, there have been many changes. Microsoft visual studio is an integrated development environment that Microsoft programs.
Source: blog.back4app.com
Best Eclipse Alternatives to Use
Visual Studio is the most used IDE for .Net developers. It is an IDE that can be used to create almost all types of applications. It is used by many developers across the world to create many types of applications, both desktop and web-based.
Source: eclipsewin.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 seems to be a lot more popular than Microsoft Visual Studio. While we know about 42 links to Google BigQuery, we've tracked only 1 mention of Microsoft Visual Studio. 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.

Microsoft Visual Studio mentions (1)

  • Why don't schools teach the modern c++?
    While the editor seems to old fashioned there isn't anything particularly wrong in using it for learning. Alternatively you can propose to your teacher about https://visualstudio.microsoft.com/vs/express/ . IMO editor is not a big factor when we are talking about high school learning. Source: almost 4 years ago

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 2 months 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 2 months 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 / 7 months ago
View more

What are some alternatives?

When comparing Microsoft Visual Studio and Google BigQuery, you can also consider the following products

Xcode - Xcode is Apple’s powerful integrated development environment for creating great apps for Mac, iPhone, and iPad. Xcode 4 includes the Xcode IDE, instruments, iOS Simulator, and the latest Mac OS X and iOS SDKs.

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

IntelliJ IDEA - Capable and Ergonomic IDE for JVM

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.

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

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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