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Google BigQuery VS JSON Generator

Compare Google BigQuery VS JSON Generator and see what are their differences

Google BigQuery logo Google BigQuery

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

JSON Generator logo JSON Generator

Create mock and sample JSON using a powerful template syntax
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • JSON Generator Landing page
    Landing page //
    2022-04-10

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

JSON Generator videos

No JSON Generator videos yet. You could help us improve this page by suggesting one.

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Category Popularity

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Data Dashboard
100 100%
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Productivity
0 0%
100% 100
Big Data
100 100%
0% 0
Web App
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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 JSON Generator

Google BigQuery Reviews

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.

JSON Generator Reviews

We have no reviews of JSON Generator yet.
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Social recommendations and mentions

Based on our record, Google BigQuery should be more popular than JSON Generator. It has been mentiond 35 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 (35)

  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 9 months ago
  • Modern data stack: scaling people and technology at FINN
    Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 9 months ago
  • Running Transformations on BigQuery using dbt Cloud: step by step
    Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 10 months ago
  • Do I need a cloud computing–based data cloud company
    You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 11 months ago
  • I used ChatGPT to get an Internship
    Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 11 months ago
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JSON Generator mentions (9)

  • How to code faster - VS Code edition
    JSON Generator: also generates mock data, but for JSON specifically. It's a bit more complex, but it allows for tailor-made results. - Source: dev.to / 6 months ago
  • Show HN: Generate JSON mock data for testing/initial app development
    Is there a generator for all the JSON generators out there? https://json-generator.com/. - Source: Hacker News / 8 months ago
  • Object-oriented JSON in Go
    So I generated a random JSON file and tried parsing it. It doesn’t error, but whenever I do a println(root.Object().Value().String()), I get a panic: wrong type. If I do a println(root.Object().Present()), it prints false. So seems like it would be better if you returned an error for this happening at the .Parse() call. But either way, not sure what’s happening. The JSON is indeed valid, as it was generated from... Source: about 1 year ago
  • How to Create a Table with Inline CRUD with Angular 14+
    Next, we’ll seed some demo data into the table. To generate some demo data, you can checkout JSON Generator. Once you’ve opened the window, replace the code in the left tab with the following code and hit generate. - Source: dev.to / over 1 year ago
  • How to Mock a Live Stream Chat
    Hey, I would try to do it using pre-comps for each message, getting the data like username, text, emoji… the from a json. This way you could generate the json manually with something like this to setup the blank json (just one way of doing that) or with some other kind of script. Then change the expression generated by mamoworldjson to link it to the comps name. The only thing i’m not sure is how to insert the... Source: over 1 year ago
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What are some alternatives?

When comparing Google BigQuery and JSON Generator, 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?

Dadroit JSON Viewer - Open a 1GB JSON file in a blink 💣

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.

Mockaroo - A realistic data generator to test your app

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.

Dummi - The smart way to generate random data for your projects.