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Tetrisly VS ElasticSearch

Compare Tetrisly VS ElasticSearch and see what are their differences

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Tetrisly logo Tetrisly

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

ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.
  • 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

  • ElasticSearch Landing page
    Landing page //
    2023-10-10

Tetrisly

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

ElasticSearch

Website
elastic.co
Pricing URL
Official ElasticSearch Pricing
$ 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.

ElasticSearch features and specs

  • Scalability
    ElasticSearch is highly scalable, allowing you to handle large volumes of data and distribute indexing and search tasks across multiple nodes.
  • Real-Time Data
    It provides real-time indexing and searching capabilities, making it suitable for applications that require up-to-the-minute data retrieval and analysis.
  • Full-Text Search
    ElasticSearch is well-known for its powerful full-text search capabilities, enabling complex search queries and supporting a wide range of search options.
  • Complex Query Support
    It offers a rich query language allowing for complex and nested searching with filters, aggregations, and more.
  • Distributed Architecture
    ElasticSearch is designed to be distributed by nature, making it resilient to node failures and allowing data and search requests to be distributed across a cluster.
  • Open Source
    ElasticSearch is open-source, offering flexibility and a large community of developers that contribute to its continuous improvement and support.
  • Analytics
    Besides search, it also supports powerful analytics and visualization tools, especially when integrated with Kibana, its visualization dashboard.
  • Integrations
    ElasticSearch can easily integrate with various data sources and frameworks, enhancing its usability across different applications.

Possible disadvantages of ElasticSearch

  • Complexity
    Operating ElasticSearch can be complex, particularly when dealing with large-scale deployments, requiring specialized knowledge and expertise.
  • Resource Intensive
    ElasticSearch can be resource-intensive, requiring significant amounts of RAM and CPU, which can be costly for large-scale operations.
  • Consistency
    As a distributed system, ElasticSearch can sometimes face consistency issues, especially in scenarios involving partitions or network failures.
  • Security
    Though security features are available, they often require additional configurations and are more robust in the paid versions, which can be a concern for open-source users.
  • Cost
    While the core ElasticSearch software is open-source, scaling and additional features (like security, monitoring, and machine learning) are part of the paid Elastic Stack offerings.
  • Learning Curve
    There is a steep learning curve associated with mastering ElasticSearch and its query DSL (Domain Specific Language), which can be a barrier for new users.
  • Maintenance
    Properly maintaining an ElasticSearch cluster requires ongoing management, monitoring, and tuning to ensure optimal performance.
  • Backup and Restore
    Managing backups and restores can be cumbersome and is not as straightforward as in some other databases or data storage solutions.

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 ElasticSearch

Overall verdict

  • Yes, Elasticsearch is widely regarded as a top-tier solution for search and analytics applications. Its balance of speed, scalability, and adaptability to various data sets and systems makes it a popular choice across industries. However, it can be complex to set up and manage at scale, so some expertise is beneficial.

Why this product is good

  • Elasticsearch, developed by Elastic.co, is considered a powerful and flexible search and analytics engine. It's renowned for its scalability, speed, and support for complex search functionalities. Officially integrated into the Elastic Stack, it offers robust indexing and real-time search capabilities, making it an ideal choice for large-scale data search and analysis. It has a vibrant community and extensive documentation, which add to its appeal. Users appreciate its ability to handle a vast amount of data efficiently and its seamless integration with other tools like Kibana and Logstash.

Recommended for

  • Organizations needing a reliable, scalable search engine for large datasets
  • Developers building applications with complex search queries and analytics
  • Businesses wanting to perform real-time data analysis and visualization
  • Companies looking for a component within a larger log or event data management solution
  • Engineering and IT teams seeking to integrate search capabilities into existing systems

Tetrisly videos

+ Add

Tetrisly for Figma

More videos:

  • Review - Tetrisly for Sketch

ElasticSearch videos

+ Add

What is Elasticsearch?

More videos:

  • Review - Real world Elasticsearch Compose/Stack File Review
  • Demo - Elastic Search

Category Popularity

0-100% (relative to Tetrisly and ElasticSearch)

Tetrisly

ElasticSearch

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 ElasticSearch. 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 ElasticSearch

Tetrisly Reviews

  1. Guest
  2. Guest

ElasticSearch Reviews

Log analysis: Elasticsearch vs Apache Doris
Benchmark tests with ES Rally, the official testing tool for Elasticsearch, showed that Apache Doris was around 5 times as fast as Elasticsearch in data writing, 2.3 times as fast in queries, and it consumed only 1/5 of the storage space that Elasticsearch used. On the test dataset of HTTP logs, it achieved a writing speed of 550 MB/s and a compression ratio of 10:1.
Source: doris.apache.org
4 Leading Enterprise Search Software to Look For in 2022
“ We’ve built some big data search and mobile desktop applications that help our customers experience fast natural language search. Some applications require this, where I need to find data, I don’t want to build some complex query, I just need to ask the system “help me search for this information, narrow my results” and I don't want to wait several seconds. We’ve built a...
Source: ascendixtech.com
Top 10 Site Search Software Tools & Plugins for 2022
Elasticsearch is built for human users, which means that it’s equipped to handle mistakes that humans often make such as typos. This helps to improve search relevance and enhance the overall search experience. It offers real-time crawling, which automatically detects changes in content and ensures that search results are fresh and relevant.
Source: influencermarketinghub.com
Best Elasticsearch alternatives for search
However, when it comes to dealing with synonyms (i.e. ‘smart phone’ for ‘Samsung Galaxy’), slang (i.e. ‘kicks’ for ‘Nike Air Jordans’) and context (i.e. ‘car park’ is different to ‘dog park’) – you have to set up a bunch of manual rules/definitions with Elasticsearch and co.
Source: relevance.ai
5 Open-Source Search Engines For your Website
Elasticsearch provides key features like Advanced Full-Text Search Capabilities like Data indexing, Search capabilities including phrases, wildcards, auto suggestions, filters & facets, etc... Elasticsearch can also be used for other use-cases like
Source: vishnuch.tech

Social recommendations and mentions

Based on our record, ElasticSearch seems to be more popular. It has been mentiond 17 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.

ElasticSearch mentions (17)

  • ElasticSearch from the Azure store or from Elastic.co?
    What surprised me is that on the Azure store, the only option I see is (Pay as you go), whereas on elastic.co there are the standard platinum and enterprise tiers followed by a where to deploy page and a pricing overview. Source: almost 2 years ago
  • Hunspell on elastic.co cloud
    Can anyone help me how to upload custom hunspell stemmer files to elastic cloud (elastic.co)? According to elastic docs it should go under elasticsearch/config/hunspell, but according to cloud docs I should upload it via features/extension tab. So I tried zipping the hunspell folder and uploading it. I also figured out that it should be in the dictionaries folder, but after uploading it still doesn't work. Source: about 2 years ago
  • Creating a modern, SaaS website.. what am I missing?
    I can't figure out where I have to go to get more or less of a custom, premium website. I should mention that I look up to websites like elastic.co for example, would be very happy with something like that. I could really use some guidance! Source: over 2 years ago
  • Ask HN: Who is hiring? (October 2022)
    Elastic | Multiple software engineering roles | REMOTE (EMEA) | Full-time | https://elastic.co Elastic offers solutions for security and observability that are built on a single, open technology stack that can be deployed anywhere. Elastic Security enables security teams to prevent, detect, and respond to attacks with a solution built atop the speed and reliable of the Elastic stack. The Security External... - Source: Hacker News / over 2 years ago
  • Seeking clarification about which part of ElasticSearch to use for our website
    I have been trying to digest the elastic.co website to try to understand how we can use elastic search, but I've come to a point where I'm not sure which part of elastic, (if any) makes sense for us. In fact I am royally confused. I wonder if anyone here can help clarify? Source: almost 3 years ago
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What are some alternatives?

When comparing Tetrisly and ElasticSearch, you can also consider the following products

Root UI Kit - Wireframe & design starter kit 🛠️

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

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

React Rainbow Components - Build your web application in a snap.

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

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