Software Alternatives, Accelerators & Startups

Google BigQuery VS CodeRunner

Compare Google BigQuery VS CodeRunner and see what are their differences

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Google BigQuery logo Google BigQuery

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

CodeRunner logo CodeRunner

An advanced, highly flexible, and easy-to-use programming editor for your Mac.
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • CodeRunner Landing page
    Landing page //
    2021-09-22

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.

CodeRunner features and specs

  • Multi-language Support
    CodeRunner supports a wide range of programming languages, making it a versatile tool for developers who need to work with multiple syntaxes.
  • Lightweight and Fast
    The application is designed to be lightweight, which results in fast performance and quick startup times compared to more resource-intensive IDEs.
  • Customizable Features
    CodeRunner offers users the ability to highly customize their coding environment, from themes to shortcuts, enhancing user productivity and comfort.
  • Integrated Debugging Tools
    Comes with built-in debugging tools which aid in identifying and resolving coding errors more efficiently.

Possible disadvantages of CodeRunner

  • Limited Advanced Tools
    While it covers basics well, CodeRunner might lack some of the advanced tools and plugins available in more comprehensive IDEs.
  • MacOS Exclusive
    CodeRunner is only available for MacOS, which limits its accessibility for users on other operating systems like Windows or Linux.
  • Not Free
    The application is not free, requiring a purchase, which might be a barrier for some users considering it alongside free alternatives.
  • Less Community Support
    Due to its smaller user base compared to popular IDEs like Visual Studio Code, community support and plugins might be more limited.

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

CodeRunner videos

CGRundertow CODERUNNER for iPhone Video Game Review

More videos:

  • Review - CodeRunner - Review & Preview [Mac OS X Mavericks]
  • Review - Best Mac Developer Tool 2016 - CodeRunner 2 (Review)

Category Popularity

0-100% (relative to Google BigQuery and CodeRunner)
Data Dashboard
100 100%
0% 0
Text Editors
0 0%
100% 100
Big Data
100 100%
0% 0
IDE
0 0%
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 CodeRunner

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.

CodeRunner Reviews

Top 10 Notepad++ Alternatives for Mac in 2022
Here we have discussed more Notedpad++ Mac alternatives. We discussed that it is actually not available on Mac. However, we have discussed different alternatives you can choose with your computer. These include Atom, Sunset Code, Brackets, BBEdit, SlickEdit, Komodo IDE, Coderunner, and Coda, among others. All of these have their own limitations, capabilities, and features,...
Source: www.imymac.com

Social recommendations and mentions

Based on our record, Google BigQuery seems to be a lot more popular than CodeRunner. While we know about 42 links to Google BigQuery, we've tracked only 4 mentions of CodeRunner. 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 / 12 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 / 17 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 / 23 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

CodeRunner mentions (4)

  • Simple compile and run?
    Https://coderunnerapp.com is a good lightweight alternative if you want to try out snippets of Swift code. Source: over 3 years ago
  • Xcode users how can I disable this blue line?
    BTW, if you're just start learning C++, get CodeRunner. Xcode is for project development, not a good learning tool. Source: over 3 years ago
  • Best IDE for C++ on M1 Mac
    I'm going to presage this by saying that if what you want from an IDE is that you can open a tab, tap in some C++, add some breakpoints if necessary and hit run, and if you're willing to spend $20, then I highly recommend CodeRunner. You can also set it up to invoke whatever you want to invoke for building, allowing you to use it as a full project-management IDE, but I usually don't bother with that. But it's... Source: almost 4 years ago
  • Your Username Story
    Mine is simple, probably wont win but I made this my username cause I like code, conuidentley coderunner is a program editor for macOS. Source: about 4 years ago

What are some alternatives?

When comparing Google BigQuery and CodeRunner, 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?

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

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.

SlickEdit - SlickEdit is a cross-platform, multi-language source code editor text editor that allows programmers to developer in over 40 languages on seven platforms.

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.

Light Table - Light Table is a new interactive IDE that lets you modify running programs and embed anything from...