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TanStack Table VS Apache Solr

Compare TanStack Table VS Apache Solr and see what are their differences

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TanStack Table logo TanStack Table

Headless UI for building powerful tables & datagrids with TS/JS, React, Solid, Svelte and Vue

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
  • TanStack Table Landing page
    Landing page //
    2023-09-03
  • Apache Solr Landing page
    Landing page //
    2023-04-28

TanStack Table features and specs

  • Performance
    TanStack Table is designed for high performance, capable of handling large datasets efficiently through features like virtualized scrolling, which only renders visible rows.
  • Customization
    Provides extensive customization options for UI and behavior, allowing developers to tailor the table to specific needs with hooks and plugins.
  • Lightweight
    The core library is minimal and can be extended with plugins, making it lightweight by default and allowing developers to include only the features they need.
  • Headless Design
    Being headless, TanStack Table focuses solely on offering functionality, leaving the implementation of styles and appearance completely to the developer, which provides flexibility.
  • Community and Documentation
    The library has an active community and comprehensive documentation, which helps developers quickly understand and implement features.

Possible disadvantages of TanStack Table

  • Complexity
    With its headless nature and high level of customization, there can be a steep learning curve for developers unfamiliar with its approach or those new to React.
  • Lack of Built-in Styles
    Since it does not include built-in styles or components, additional work is required to implement design aspects, which may be a drawback for projects that need a quick setup.
  • React Dependency
    It is specifically designed for React, which makes it unsuitable for projects built with other frameworks.
  • Fragmentation
    Due to its plugin-based architecture, essential features can sometimes depend on third-party solutions, leading to possible fragmentation or inconsistency in updates and support.

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.

TanStack Table videos

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Apache Solr videos

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

0-100% (relative to TanStack Table and Apache Solr)
Design Tools
100 100%
0% 0
Custom Search Engine
0 0%
100% 100
Data Grid
100 100%
0% 0
Custom Search
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 TanStack Table and Apache Solr

TanStack Table Reviews

Using AG Grid in React: Guide and alternatives
Implementing pagination can be a little trickier. But one of the benefits of TanStack Table is that we have complete control over the functionality. Let’s implement server-side pagination with TanStack Table and see how it works.
The Best React Data Grid/Table Libraries with Material Design in 2023 - MRT Blog
The main advantage of this project is that it is also built on top of TanStack Table v8 (formerly known as React Table) and TanStack Virtual v3 (formerly known as React Virtual), which are powerful headless UI libraries for efficiently rendering react table components with virtualization. This also means the the APIs to customize the behavior of the table are standardized...
Best Free and Open-Source JavaScript Data Grid Libraries and Widgets
The TanStack Table library is a modern and up-to-date library for creating powerful tables and data grids. This is actually a headless library, so it won't ship with components, markup, or styles.

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...
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, Apache Solr should be more popular than TanStack Table. It has been mentiond 19 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.

TanStack Table mentions (6)

  • Building a Google Sheets–Like Table Component with TanStack Table, Zod, and ShadCN/UI
    TanStack Table for the core table logic. - Source: dev.to / 4 months ago
  • What are headless UI libraries?
    UI libraries aside, the whole headless rave has spread to packages and libraries for standalone components, headless text editors like Tiptap and Platejs, headless table components like Tanstack table, and more out there to explore. - Source: dev.to / about 1 year ago
  • Task tracker application using NextJS and SurrealDB
    To create the task table I have used [@tanstack/react-table](https://tanstack.com/table/v8) as it has many features like searching, pagination, sorting, and filtering. As it is a Headless table library it handles most of the complex tasks on its own. - Source: dev.to / over 1 year ago
  • React Ecosystem in 2024
    If you're looking for information about tables in React, you can explore the TanStack Table documentation for version 8 at tanstack.com/table/v8. TanStack Table is a headless UI library that allows you to build powerful tables and datagrids in various frameworks like TS/JS, React, Vue, Solid, and Svelte while retaining control over markup and styles. The documentation will provide you with detailed information on... - Source: dev.to / over 1 year ago
  • ⚡ Best Open Source React framework and libraries for Building Enterprise B2B apps
    Refer to TanStack Table documentation. - Source: dev.to / over 1 year 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 / 10 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 / 10 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 / over 1 year 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 TanStack Table and Apache Solr, you can also consider the following products

AG Grid - The best HTML5 datagrid in the world

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

MUI X Data Grid - A fast and extensible React data table and React data grid, with filtering, sorting, aggregation, and more.

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.

Material React Table - Material React Table, a fully featured Material UI V5 implementation of TanStack React Table V8. Written from the ground up in TypeScript.

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