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JSONFormatter.org VS Databricks

Compare JSONFormatter.org VS Databricks 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

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?
  • JSONFormatter.org Landing page
    Landing page //
    2022-02-01
  • Databricks Landing page
    Landing page //
    2023-09-14

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.

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

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

JSONFormatter.org videos

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Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

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Development
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Data Dashboard
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100% 100
Developer Tools
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0% 0
Big Data Analytics
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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 JSONFormatter.org and Databricks

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

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.

Social recommendations and mentions

Based on our record, JSONFormatter.org should be more popular than Databricks. It has been mentiond 27 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
View more

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / 9 months ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAI’s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: about 2 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 3 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 3 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / about 3 years ago
View more

What are some alternatives?

When comparing JSONFormatter.org and Databricks, you can also consider the following products

JSON Editor Online - View, edit and format JSON online

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

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.