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Tetrisly VS Apache Solr

Compare Tetrisly VS Apache Solr and see what are their differences

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Tetrisly logo Tetrisly

Starter kit for design systems and wireframes builder (Sketch/Figma)

Apache Solr logo Apache Solr

Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...
  • Tetrisly Landing page
    Landing page //
    2023-08-22

Tetrisly is a new approach to organizing libraries in Figma and Sketch. 2500+ components help you create wireframes faster or create a library for a design system. It’s a perfectly crafted, named, organized Component Library based on recent Figma and Sketch features.

• 2500+ Resizable components
• Organized nested Symbols and Overrides
• Organized Layer and Text Styles
• Auto / Smart Layout
• Components are grouped by their function instead of by their complexity
• Ready to work at scale
• Components ID system
• Easily customizable styles
• Example Wireframes and Process Files
• Components are synced with foundations so every change is global

What are the benefits of Tetrisly?

UX Designers:
• Speed up the wireframing process
• All changes are global, you don’t have to change all elements locally again and again
• Collaborate with other UX designers on library development and expansion

UI Designers:
• Create one source of truth for your product
• Just start creating the component library with ideal file organization
• Build the right inheritance structure for design tokens and components based on your needs

Product teams:
• Reduce the entry threshold for new designers into the project
• A fully scalable file organization methodology gives you unlimited possibilities of product development
• Minimize the number of misunderstandings, mistakes and time-wasting thanks to good organization

  • Apache Solr Landing page
    Landing page //
    2023-04-28

Tetrisly

Website
tetrisly.com
$ Details
paid $59.0 / One-off
Platforms
Sketch Figma
Release Date
2019 November
Edit details

Apache Solr

Website
solr.apache.org
$ Details
Platforms
-
Release Date
-
Edit details

Tetrisly features and specs

  • Comprehensive Components Library
    Tetrisly offers a well-organized and extensive library of UI components that can be utilized by designers, making it easier to prototype and build user interfaces quickly.
  • Figma Integration
    The tool is designed to work seamlessly with Figma, a popular design tool, enabling designers to use Tetrisly components directly within their existing Figma projects.
  • Design Consistency
    Using pre-designed components from Tetrisly helps maintain design consistency across different screens and projects, improving the overall user experience.
  • Time-Efficient
    By providing ready-to-use components and templates, Tetrisly helps designers save a significant amount of time compared to designing UI elements from scratch.
  • Regular Updates
    Tetrisly receives regular updates, ensuring that users have access to the latest design trends and components.

Possible disadvantages of Tetrisly

  • Dependency on Figma
    Since Tetrisly is deeply integrated with Figma, users who prefer or are required to use other design tools might find it less useful.
  • Learning Curve
    Despite its ease of use, new users might take some time to familiarize themselves with the full range of components and how to best utilize them within their projects.
  • Cost
    Tetrisly offers a subscription-based pricing model, which might be a barrier for smaller teams or individual designers with limited budgets.
  • Limited Customization
    While the components are well-designed, some users may find the level of customization offered by Tetrisly to be limited, restricting their creative freedom.

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 Tetrisly

Overall verdict

  • Tetrisly is generally considered a good resource for designers who seek a structured, efficient way to create user interfaces with a high level of consistency. Its user-friendly design and extensive library make it a valuable tool for many design projects.

Why this product is good

  • Tetrisly is a design system that offers a comprehensive library of components and design patterns. It aims to streamline the process of creating user interfaces by providing pre-designed, customizable elements and templates. Users appreciate Tetrisly for its ability to save time and maintain consistency across design projects. The resources are useful for both new designers looking to learn and experienced designers wanting to improve their workflow.

Recommended for

    Tetrisly is recommended for UI/UX designers, product designers, and design teams who wish to streamline their design processes. It's also valuable for freelancers who want to enhance their productivity and achieve consistency in their projects.

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.

Tetrisly videos

+ Add

Tetrisly for Figma

More videos:

  • Review - Tetrisly for Sketch

Apache Solr videos

+ Add

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 Tetrisly and Apache Solr)

Tetrisly

Apache Solr

Design Tools
100 100%
Design Tools
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
User Experience
100 100%
User Experience
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using Tetrisly and Apache Solr. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Tetrisly and Apache Solr

Tetrisly Reviews

  1. Guest
  2. Guest

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, Apache Solr seems to be more popular. 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.

Tetrisly mentions (0)

We have not tracked any mentions of Tetrisly yet. Tracking of Tetrisly recommendations started around Mar 2021.

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 / 12 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 Tetrisly and Apache Solr, you can also consider the following products

Root UI Kit - Wireframe & design starter kit 🛠️

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

Nucleus UI - Free UI component library to create mockups in Figma quickly

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.

Figma Design System - Starter kit for your UI design projects in Figma

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

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