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LibreOffice - Base VS ElasticSearch

Compare LibreOffice - Base VS ElasticSearch and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

LibreOffice - Base logo LibreOffice - Base

Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC

ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.
  • LibreOffice - Base Landing page
    Landing page //
    2021-10-15
  • ElasticSearch Landing page
    Landing page //
    2023-10-10

LibreOffice - Base features and specs

  • Cost
    LibreOffice Base is free and open-source, which makes it a cost-effective alternative to other database management systems.
  • Compatibility
    It is compatible with a wide range of databases including MySQL, PostgreSQL, and Microsoft Access files, which enhances flexibility.
  • Cross-Platform
    LibreOffice Base runs on multiple platforms including Windows, macOS, and Linux, offering flexibility to users on different systems.
  • Open Standards
    It supports open standards for file formats, promoting interoperability and long-term data management.
  • User Community
    Being part of the LibreOffice suite, it has a strong user community and extensive documentation, providing ample support resources.

Possible disadvantages of LibreOffice - Base

  • Performance
    Compared to proprietary database management systems, LibreOffice Base may have slower performance and lower efficiency for large datasets.
  • Complexity
    The interface and functionalities may be challenging for new users who are not familiar with database management concepts.
  • Limited Advanced Features
    It lacks some advanced features found in other enterprise-level database solutions, making it less suitable for very complex database applications.
  • Infrequent Updates
    Updates and new features tend to be less frequent compared to commercial software, potentially leading to longer periods with unresolved bugs or missing features.
  • Technical Support
    While there is a strong community, there is no official professional technical support, which can be a drawback for businesses requiring reliable and immediate assistance.

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 LibreOffice - Base

Overall verdict

  • LibreOffice Base is a solid choice for users who need a free, open-source database management solution. While it may not offer all the advanced features found in some proprietary software, it is more than adequate for basic to intermediate tasks and is especially well-suited for users already engaged with the LibreOffice ecosystem. Its ease of use and wide range of functionalities make it a good option for many users.

Why this product is good

  • LibreOffice Base is a robust open-source database management tool that comes as part of the LibreOffice suite. It supports a wide range of databases including MySQL, PostgreSQL, and Firebird, and is compatible with many formats, making it versatile for various needs. It also integrates well with other LibreOffice applications like Calc and Writer, providing a cohesive experience for users who are already utilizing the LibreOffice suite. Furthermore, being an open-source tool, it allows for customization and is free to use, which is ideal for users looking for budget-friendly solutions without compromising functionality.

Recommended for

    LibreOffice Base is recommended for small businesses, educators, students, and hobbyists who need a straightforward database solution without the need for high-end features. It's also suitable for individuals and organizations already using other LibreOffice applications and those who prefer open-source software. Additionally, it can be beneficial for anyone looking to reduce software costs while maintaining necessary functionalities for database management.

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

LibreOffice - Base videos

+ Add

LibreOffice Base (01) Create a Database, Create a Table

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 LibreOffice - Base and ElasticSearch)

LibreOffice - Base

ElasticSearch

Databases
100 100%
Databases
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using LibreOffice - Base 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 LibreOffice - Base and ElasticSearch

LibreOffice - Base Reviews

TOP best Microsoft Access replacement software for databases
LibreOffice Base has a host of handy features, including cross-database support for multi-user databases such as MySQL, Adabas D, Microsoft Access, and PostgreSQL. LibreOffice Base is probably an almost direct copy of Microsoft Access. Both are front-end database management tools.
Source: tipsmake.com

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.

LibreOffice - Base mentions (0)

We have not tracked any mentions of LibreOffice - Base yet. Tracking of LibreOffice - Base 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 LibreOffice - Base and ElasticSearch, you can also consider the following products

Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.

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.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

My Visual Database - Using My Visual Database, you can create databases for invoicing, inventory, CRM, or any specific purpose.

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

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