Software Alternatives, Accelerators & Startups

JSONFormatter.org VS Google BigQuery

Compare JSONFormatter.org VS Google BigQuery and see what are their differences

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JSONFormatter.org logo JSONFormatter.org

Online JSON Formatter and JSON Validator will format JSON data, and helps to validate, convert JSON to XML, JSON to CSV. Save and Share JSON

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • JSONFormatter.org Landing page
    Landing page //
    2022-02-01
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

JSONFormatter.org features and specs

  • User-Friendly Interface
    JSONFormatter.org offers a clean and intuitive interface that makes it easy for users to format, validate, and edit JSON data quickly.
  • Multiple Tools
    The website provides a variety of tools including JSON beautifier, minifier, validator, and converter, which can be helpful for developers working with JSON.
  • Free to Use
    The platform is completely free, which makes it accessible for anyone who needs to format or validate JSON data without any cost.
  • Cross-Platform
    Since it's a web-based tool, it can be accessed from any device with a browser, making it versatile for use across different operating systems.
  • Additional Features
    Beyond JSON formatting, the site also offers tools for HTML, XML, CSV, and other data formats, making it a versatile resource for developers.

Possible disadvantages of JSONFormatter.org

  • No Offline Access
    The tool requires an internet connection to use, which can be a limitation for developers working in environments with limited connectivity.
  • Ads
    The free version of the website includes advertisements, which can be distracting and impact the user experience.
  • Privacy Concerns
    Submitting JSON data to a third-party web service can raise privacy concerns, especially if the data is sensitive or confidential.
  • Dependency on Web Browser
    As a web-based tool, it depends on the performance and reliability of the web browser, which may vary between users and devices.
  • Limited Customization
    The tool does not offer extensive customization options for formatting rules, which might be a drawback for users with specific formatting needs.

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 JSONFormatter.org

Overall verdict

  • Overall, JSONFormatter.org is considered a good tool. Its simplicity, functionality, and accessibility make it a preferred choice for developers and programmers who need to work with JSON data efficiently. It is reliable for both quick fixes and more thorough data inspections.

Why this product is good

  • JSONFormatter.org is a well-regarded tool for several reasons. It offers an easy-to-use interface for formatting and beautifying JSON data, which is particularly useful for developers working with JSON files. The tool helps in identifying syntax errors by displaying error messages, and its ability to minify JSON makes it convenient for optimizing payload sizes in web applications.

Recommended for

  • software developers who need to debug or present JSON data
  • web developers optimizing JSON payloads for web applications
  • students learning to structure and validate JSON files
  • anyone needing to quickly format or minify JSON without installing software

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

JSONFormatter.org videos

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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

Category Popularity

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Development
100 100%
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Data Dashboard
0 0%
100% 100
Developer Tools
100 100%
0% 0
Big Data
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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 JSONFormatter.org and Google BigQuery

JSONFormatter.org Reviews

  1. It's my go to tool for JSON

    JSONFormatter.org is an invaluable tool for anyone working with JSON data. Its simple and user-friendly interface makes formatting, validating, and analyzing JSON effortless. The website's clean design allows for easy navigation and top-notch functionality.

    🏁 Competitors: CodeBeautify

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.

Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than JSONFormatter.org. 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.

JSONFormatter.org mentions (27)

  • JSON Diff: Comparing JSON Data Effectively
    JSON Formatter & Validator This tool focuses on formatting JSON data while offering basic diff capabilities. • Features: Validate, format, and compare JSON data. • Use Case: Ideal for developers who need an all-in-one solution. • Website: https://jsonformatter.org How to Use JSON Diff Tools. - Source: dev.to / 7 months ago
  • How to be more productive when learning a new language
    3. JSON Formatter The GeoJSON file I used is super hefty, holding nested geographical information about country border locations as coordinate pairs, and information on country geometry, name etc. There are any number of ways you can show this file to get it to make sense, but I found another online tool that helped me break it down into readable chunks was JSON Formatter. It also helps validate JSON, useful if... - Source: dev.to / 12 months ago
  • Show HN: VS Code Extension to skip the noisy web tools (JSON Prettify, and more)
    Hi HN, Simple online tools on the web have become unnecessary greedy. For example, * https://jsonformatter.org/ displays 7 ads on page load * https://convertcase.net/ had 4 ads plus a Google Vignette. And many more sites do the same thing. It's just noisy, which is why I created this VS Code Extension where you don't need to even leave your editor for your small web operations. I also built a Desktop app and an... - Source: Hacker News / 11 months ago
  • Blasphemous - Stuck at 148.25% - SOLUTION
    Now with your savefile decrypted click the "copy" button on the "output" tab (to the right of the trash can) and proceed to this website: https://jsonformatter.org/ Here you'll make the code more readable so paste what you've copied on the left box and click on the button on the middle that says "Format/Beautify". Then go to the box on the right where the code should be nice and pretty now and (once again) copy... Source: over 1 year ago
  • Selfhosted Prettyprint/Encoder/Decoder/Validator/Utility thing?
    I find myself using various online converters - prettyprint, URLencode/decode, HTML entity converter JSON validator, etc. I could whip these out in a CLI tool, but pasting to a web page is faster (for one thing, no need to remember all the various command semantics, deal with escaping, argument length limitations, etc). Something like https://jsonformatter.org. However, I don't like the idea of putting my data out... Source: about 2 years ago
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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 2 months 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 / 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 / 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 JSONFormatter.org and Google BigQuery, you can also consider the following products

JSON Editor Online - View, edit and format JSON online

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

JSONLint - JSON Lint is a web based validator and reformatter for JSON, a lightweight data-interchange format.

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.

JSON Formatter & Validator - The JSON Formatter was created to help with debugging.

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.