Software Alternatives, Accelerators & Startups

Albert VS ElasticSearch

Compare Albert VS ElasticSearch and see what are their differences

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Albert logo Albert

Omnilauncher for Linux to help you quickly find and run apps and do other useful things.

ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.
  • Albert Landing page
    Landing page //
    2023-08-05
  • ElasticSearch Landing page
    Landing page //
    2023-10-10

Albert features and specs

  • Fast and Lightweight
    Albert is designed to be quick and efficient, consuming minimal system resources while delivering fast search results.
  • Highly Customizable
    Users can personalize their Albert experience through various configuration options and extensions to suit their specific needs.
  • Extensible with Multiple Plugins
    Albert supports numerous plugins, allowing for extended functionality such as calculator, file search, and system commands.
  • Open Source
    Albert is an open-source project, allowing users to inspect, modify, and contribute to the codebase, ensuring transparency and community-driven development.
  • Multi-Platform Support
    Albert is available for multiple operating systems, including Linux distributions, making it accessible to a broad user base.
  • Keyboard-centric Navigation
    Albert promotes efficient workflows by enabling users to perform a wide range of tasks without leaving the keyboard, enhancing productivity.

Possible disadvantages of Albert

  • Learning Curve
    Due to its extensive customization options and plugin systems, new users might find it overwhelming to configure and use Albert effectively.
  • Limited GUI for Configuration
    Albert's configuration mainly relies on text-based settings, which might be less intuitive for users who prefer graphical user interfaces.
  • Dependency on Plugins
    While plugins add functionality, users might experience inconsistent behavior or compatibility issues depending on the plugins they use.
  • Lesser Known
    Compared to more popular launchers, Albert has a smaller user and support community, which may result in limited online resources and troubleshooting help.

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 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

Albert videos

Albert App Review - Legit? Save INSANE Money? Worth it?

More videos:

  • Review - 'Albert' Budgeting App Review

ElasticSearch videos

What is Elasticsearch?

More videos:

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

Category Popularity

0-100% (relative to Albert and ElasticSearch)
Automation
100 100%
0% 0
Custom Search Engine
0 0%
100% 100
Productivity
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 Albert and ElasticSearch

Albert Reviews

We have no reviews of Albert yet.
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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.
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...
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.
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

ElasticSearch might be a bit more popular than Albert. We know about 17 links to it since March 2021 and only 17 links to Albert. 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.

Albert mentions (17)

  • Wayland Application Launchers: Stick with Rofi
    Albert: Powerful, but a bit involved. I am looking for something simpler. - Source: dev.to / 28 days ago
  • Ubuntu for a Mac user (SWE)
    And, albert https://albertlauncher.github.io/ would be the default spotlight alternative, but in my experience it's not that snappy and doesn't behave exactly as you'd expect. Imo the default gnome search function is fine. Source: about 2 years ago
  • Albert launcher update!
    It took quite some time, but after years of overhaul, testing, and patching I'd like to introduce Albert. New features (since 0.18) include an abstract plugin system, custom triggers, an API which got more developer friendly and of course feature rich for both C++ and Python plugins, plugins come with more features, search is even faster, UI is nicer, Qt6, C++20… Give it a try and let me know what you think. Source: about 2 years ago
  • Ask HN: Why is on-device search terrible?
    Https://albertlauncher.github.io/ The demonstrations there confirm searching, and way more than I can do justice here. - Source: Hacker News / over 2 years ago
  • Announcing Findex v0.6.0
    Check out albert. They do it prefectly. https://albertlauncher.github.io/. Source: almost 3 years ago
View more

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
View more

What are some alternatives?

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

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

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.

Pulover’s Macro Creator - Pulover’s Macro Creator is a Free Automation Tool and Script Generator.

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

Keyboard Maestro - Keyboard Maestro is the leading software for macOS automation. It will increase business productivity by using macros(or short cuts) with simple keystrokes. Keyboard Maestro WikiThis wiki aims to help new users get started, and then provide .

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