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JSON Formatter & Validator VS Apache Solr

Compare JSON Formatter & Validator VS Apache Solr and see what are their differences

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JSON Formatter & Validator logo JSON Formatter & Validator

The JSON Formatter was created to help with debugging.

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
  • JSON Formatter & Validator Landing page
    Landing page //
    2021-10-08
  • Apache Solr Landing page
    Landing page //
    2023-04-28

JSON Formatter & Validator features and specs

  • User-Friendly Interface
    The website has a clean, intuitive design that makes it easy for users to paste their JSON text and quickly format or validate it.
  • Real-time Validation
    As soon as the JSON data is pasted, it automatically validates and provides errors, helping users quickly identify and fix issues.
  • Clear Error Messages
    The tool provides detailed error messages, which makes it easier for users to understand where their JSON is failing validation.
  • Formatting Options
    It provides options to pretty-print JSON, making data easier to read and analyze.
  • No Installation Required
    Being a web-based tool, it requires no download or installation, making it easily accessible from any browser.

Possible disadvantages of JSON Formatter & Validator

  • Internet Connectivity Required
    Because it is a web-based tool, it requires an internet connection to use, which can be a limitation in offline scenarios.
  • Security Concerns
    Pasting sensitive JSON data into a web-based tool can pose security risks, especially if the data contains confidential information.
  • Limited Advanced Features
    The tool does not offer advanced features such as JSON schema validation or linting capabilities that some developers might need.
  • Performance with Large Files
    The tool might experience lag or performance issues when working with very large JSON files.
  • No API Integration
    It lacks an API for programmatic access, which limits automated workflows and integration into development pipelines.

Apache Solr features and specs

  • Scalability
    Apache Solr is highly scalable, capable of handling large amounts of data and numerous queries per second. It supports distributed search and indexing, which allows for horizontal scaling by adding more nodes.
  • Flexibility
    Solr provides flexible schema management, allowing for dynamic field definitions and easy handling of various data types. It supports a variety of search query types and can be customized to meet specific search requirements.
  • Rich Feature Set
    Solr comes with a wealth of features out-of-the-box, including faceted search, result highlighting, multi-index search, and advanced filtering capabilities. It also offers robust analytics and joins support.
  • Community and Documentation
    Being an open-source project, Apache Solr has a strong community and comprehensive documentation, which ensures continuous improvements, updates, and extensive support resources for developers.
  • Integrations
    Solr integrates well with a variety of databases and data sources, and it provides REST-like APIs for ease of integration with other applications. It also has strong support for popular programming languages like Java, Python, and Ruby.
  • Performance
    Solr is built on top of Apache Lucene, which provides high performance for searching and indexing. It is optimized for speed and can handle rapid data ingestion and real-time indexing.

Possible disadvantages of Apache Solr

  • Complexity
    The initial setup and configuration of Apache Solr can be complex, particularly for those not already familiar with search engines and indexing concepts. Managing a distributed Solr installation also requires considerable expertise.
  • Resource Intensive
    Running Solr, especially for large datasets, can be resource-intensive in terms of both memory and CPU. It requires careful tuning and adequate hardware to maintain performance.
  • Learning Curve
    The learning curve for Apache Solr can be steep due to its extensive feature set and the complexity of its configuration options. New users may find it challenging to get up to speed quickly.
  • Consistency Issues
    In distributed setups, ensuring data consistency can be challenging, particularly for users unfamiliar with managing clustered environments. There may be delays or issues with synchronizing indexes across multiple nodes.
  • Maintenance
    Ongoing maintenance of a Solr instance, including monitoring, tuning, and scaling, can be labor-intensive. This requires dedicated effort to keep the system running efficiently over time.
  • Limited Real-time Capabilities
    Although Solr provides near real-time indexing, it may not be as effective as some specialized real-time search engines. For applications requiring truly real-time capabilities, additional solutions might be necessary.

Analysis of JSON Formatter & Validator

Overall verdict

  • Yes, JSON Formatter & Validator (jsonformatter.curiousconcept.com) is a good tool for handling JSON data. It is reliable, user-friendly, and accessible online without the need for any installations.

Why this product is good

  • JSON Formatter & Validator by Curious Concept is widely regarded as a useful tool for developers and data professionals who need to review, format, and validate JSON data. Its interface is straightforward, and it provides clear feedback on JSON syntax errors, making it a helpful resource for troubleshooting data issues. The tool also offers features like JSON prettification and minification, which are useful for making JSON data more readable or compact, depending on the user's needs.

Recommended for

    This tool is recommended for software developers, data analysts, and anyone working with JSON data. It's particularly useful for those who require a quick and easy way to validate or format JSON data online without using more complex software environments.

Analysis of Apache Solr

Overall verdict

  • Yes, Apache Solr is generally considered a good option for organizations seeking a reliable, scalable, and flexible search platform. It offers extensive features and is supported by a strong community, making it a solid choice for many use cases.

Why this product is good

  • Apache Solr is highly regarded for its robust full-text search capabilities, scalability, and ease of integration. As an open-source search platform, it is built on Apache Lucene and provides powerful distributed search and indexing, replication, load-balanced querying, and automated failover and recovery. Solr is designed to handle large volumes of data efficiently and supports various data formats with powerful data management features.

Recommended for

    Apache Solr is recommended for organizations that need to implement powerful search capabilities, especially those managing large, complex datasets. It is ideal for businesses that require full-text search features, e-commerce sites, content management systems, and big data applications that demand high query performance and scalability.

JSON Formatter & Validator videos

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Apache Solr videos

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Solr Index - Learn about Inverted Indexes and Apache Solr Indexing

More videos:

  • Review - Solr Web Crawl - Crawl Websites and Search in Apache Solr

Category Popularity

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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 JSON Formatter & Validator and Apache Solr

JSON Formatter & Validator Reviews

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Apache Solr Reviews

Top 10 Site Search Software Tools & Plugins for 2022
Apache Solr is optimized to handle high-volume traffic and is easy to scale up or down depending on your changing needs. The near real-time indexing capabilities ensure that your content remains fresh and search results are always relevant and updated. For more advanced customization, Apache Solr boasts extensible plug-in architecture so you can easily plug in index and...
Source: influencermarketinghub.com
5 Open-Source Search Engines For your Website
Apache Solr is the popular, blazing-fast, open-source enterprise search platform built on Apache Lucene. Solr is a standalone search server with a REST-like API. You can put documents in it (called "indexing") via JSON, XML, CSV, or binary over HTTP. You query it via HTTP GET and receive JSON, XML, CSV, or binary results.
Source: vishnuch.tech
Elasticsearch vs. Solr vs. Sphinx: Best Open Source Search Platform Comparison
Solr is not as quick as Elasticsearch and works best for static data (that does not require frequent changing). The reason is due to caches. In Solr, the caches are global, which means that, when even the slightest change happens in the cache, all indexing demands a refresh. This is usually a time-consuming process. In Elastic, on the other hand, the refreshing is made by...
Source: greenice.net
Algolia Review – A Hosted Search API Reviewed
If you’re not 100% satisfied with Algolia, there are always alternative methods to accomplish similar results, such as Solr (open-source & self-hosted) or ElasticSearch (open-source or hosted). Both of these are built on Apache Lucene, and their search syntax is very similar. Amazon Elasticsearch Service provides a fully managed Elasticsearch service which makes it easy to...
Source: getstream.io

Social recommendations and mentions

Based on our record, JSON Formatter & Validator should be more popular than Apache Solr. It has been mentiond 36 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.

JSON Formatter & Validator mentions (36)

  • Postman Tutorial: A Beginner's Step-by-Step Guide!
    **Note:* Online Post request should have the correct format to ensure that requested data will be created. It is a good practice to use Get first to check the JSON format of the request. You can use tools like https://jsonformatter.curiousconcept.com/. - Source: dev.to / 3 months ago
  • Rest API Testing: How to test Rest APIs properly!
    This can look like this, for example. Postman shows you errors in the JSON structure directly. However, you can test it more precisely with this JSON validator. - Source: dev.to / 12 months ago
  • Homebridge failed to load Config.schema.json
    Did you already validate your json with: JSON VALIDATOR? Source: about 2 years ago
  • 5 useful JSON tools to improve your productivity
    As we've seen in this article, there are many different tools available to help us work with JSON data. From visualizing and exploring data with JSON Crack, formatting it with JSON Formatter & Validator, converting it to other formats like CSV with Konklone.io, and validating it against a schema with JSON Schema — these tools can help make working with JSON data much easier and more efficient. - Source: dev.to / about 2 years ago
  • Beginner's Thread / Easy Questions [February 2023]
    Is there a library to parse json and make an interactive windows something like https://jsonformatter.curiousconcept.com. Source: over 2 years ago
View more

Apache Solr mentions (19)

  • List of 45 databases in the world
    Solr — Open-source search platform built on Apache Lucene. - Source: dev.to / 11 months ago
  • Considerations for Unicode and Searching
    I want to spend the brunt of this article talking about how to do this in Postgres, partly because it's a little more difficult there. But let me start in Apache Solr, which is where I first worked on these issues. - Source: dev.to / 11 months ago
  • 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 / almost 2 years ago
  • Looking for software
    Apache Solr can be used to index and search text-based documents. It supports a wide range of file formats including PDFs, Microsoft Office documents, and plain text files. https://solr.apache.org/. Source: about 2 years ago
  • 'google-like' search engine for files on my NAS
    If so, then https://solr.apache.org/ can be a solution, though there's a bit of setup involved. Oh yea, you get to write your own "search interface" too which would end up calling solr's api to find stuff. Source: over 2 years ago
View more

What are some alternatives?

When comparing JSON Formatter & Validator and Apache Solr, you can also consider the following products

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

ElasticSearch - Elasticsearch is an open source, distributed, RESTful search engine.

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

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

JSON Editor Online - View, edit and format JSON online

Typesense - Typo tolerant, delightfully simple, open source search 🔍

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