Software Alternatives, Accelerators & Startups

Tablesome VS OpenSearch

Compare Tablesome VS OpenSearch and see what are their differences

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Tablesome logo Tablesome

Tablesome is a table plugin for WordPress that enables you to build responsive tables for your project and deal with a large number of rows and columns easily.

OpenSearch logo OpenSearch

OpenSearch is a community-driven, open source search and analytics suite derived from Apache 2.0 licensed Elasticsearch 7.10.2 & Kibana 7.10.2. It consists of a search engine daemon, and a visualization and user interface, OpenSearch Dashboards.
  • Tablesome Landing page
    Landing page //
    2022-05-21
  • OpenSearch Landing page
    Landing page //
    2023-08-18

Tablesome features and specs

  • User-Friendly Interface
    Tablesome offers a straightforward and intuitive user interface that makes it easy for users with varying levels of technical expertise to create and manage tables.
  • Responsive Design
    The tables created with Tablesome are responsive, meaning they adjust well to different screen sizes, which is crucial for maintaining usability on mobile devices.
  • Customizability
    Tablesome allows users to customize the appearance and functionality of tables to match their website's design and purpose.
  • Integration Capabilities
    The plugin integrates well with other WordPress features and third-party plugins, enhancing its functionality and versatility.
  • Shortcode Support
    Tablesome supports shortcodes, enabling users to easily insert tables into posts, pages, or widgets.

Possible disadvantages of Tablesome

  • Limited Advanced Features
    While sufficient for basic use, Tablesome may lack some advanced features and functionalities that power users might look for in a WordPress table plugin.
  • Learning Curve
    Although user-friendly, new users may still need to spend some time familiarizing themselves with all the available features and settings.
  • Performance Impact
    As with many plugins, there is potential for Tablesome to slow down website performance if not optimized or if used in conjunction with other heavy plugins.
  • Premium Features
    Some useful features might be locked behind a premium version, which could be a downside for users looking for completely free solutions.
  • Support Limitations
    Users relying on free support might find it slow or lack comprehensive help, which can be a hassle if urgent issues arise.

OpenSearch features and specs

  • Open Source
    OpenSearch is released under the Apache 2.0 License, allowing users to freely use, modify, and distribute the software without licensing fees.
  • Elasticsearch Compatibility
    OpenSearch maintains compatibility with popular Elasticsearch features and APIs, allowing for seamless integration for those familiar with Elasticsearch.
  • Community Driven Development
    As an open-source project, it encourages community contributions and feedback, leading to rapid innovation and a diverse set of features.
  • Enhanced Security Features
    OpenSearch includes built-in security features like authentication, encryption, and role-based access control out of the box.
  • Comprehensive Visualization Tools
    The OpenSearch Dashboards offer extensive data visualization tools that are comparable to and compatible with Kibana, making it easier to explore and visualize data.

Possible disadvantages of OpenSearch

  • Relatively New Project
    Being a newer project compared to Elasticsearch, OpenSearch might have less maturity in certain advanced features or optimizations.
  • Smaller Community
    While growing, the OpenSearch community is smaller compared to Elasticsearch, potentially offering less community support or fewer third-party plugins.
  • Potential Steeper Learning Curve
    For users switching from proprietary systems or Elasticsearch itself, there might be a learning curve as they adapt to any differences or nuances.
  • Forking Concerns
    As a fork of Elasticsearch and Kibana, some users may have concerns about long-term feature parity or divergence from the systems they are used to.

Analysis of OpenSearch

Overall verdict

  • Overall, OpenSearch is considered a good option for organizations looking for a flexible, scalable, and customizable search and analytics solution. Its open-source model provides transparency and cost-effectiveness, while the community and developmental backing ensure continual improvement and support.

Why this product is good

  • OpenSearch is a powerful and versatile open-source search and analytics suite. It offers a comprehensive set of features, including full-text search, hit highlighting, faceted search, an analytics dashboard, and support for both RESTful and SQL query. One of its key advantages is its open-source nature, which allows for extensive customization and community-supported development. Additionally, it has good compatibility and scalability, making it a suitable choice for businesses of varying sizes and needs.

Recommended for

    OpenSearch is recommended for businesses and developers who require robust search and analytics capabilities. It is particularly suitable for those interested in open-source solutions, organizations with substantial data analysis needs, or companies that may benefit from its integration capabilities. It is also ideal for developers looking for a platform that supports extensive customizations and complex data structures.

Tablesome videos

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OpenSearch videos

OpenSearch - What the Fork is it?

Category Popularity

0-100% (relative to Tablesome and OpenSearch)
JavaScript Tools
100 100%
0% 0
Custom Search Engine
0 0%
100% 100
Development
100 100%
0% 0
Search Engine
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, OpenSearch seems to be more popular. It has been mentiond 26 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.

Tablesome mentions (0)

We have not tracked any mentions of Tablesome yet. Tracking of Tablesome recommendations started around Aug 2021.

OpenSearch mentions (26)

  • Why You Shouldn’t Invest In Vector Databases?
    In fact, even in the absence of these commercial databases, users can effortlessly install PostgreSQL and leverage its built-in pgvector functionality for vector search. PostgreSQL stands as the benchmark in the realm of open-source databases, offering comprehensive support across various domains of database management. It excels in transaction processing (e.g., CockroachDB), online analytics (e.g., DuckDB),... - Source: dev.to / about 1 month ago
  • 🦿🛴Smarcity garbage reporting automation w/ ollama
    Consume data into third party software (then let Open Search or Apache Spark or Apache Pinot) for analysis/datascience, GIS systems (so you can put reports on a map) or any ticket management system. - Source: dev.to / over 1 year ago
  • Tutorial: Modifying Grafana's Source Code
    As you can see the visualisation performs rather well with InfluxDB except for one button which appears to be disabled:** Logs for this span**. This button is automatically disabled when our trace data source (in this case, Jaeger with InfluxDB 3.0 acting as the gRPC storage engine) has not been configured with a log data source. A log data source within Grafana is usually represented by default using the log... - Source: dev.to / almost 2 years ago
  • WebArena: A Realistic Web Environment for Building Autonomous Agents
    Interesting work with the representation of the Content through the URL, to allow the agent/actor to discover the information through different path. ↓ [...] - CSS(--variable) - DOM(attributes=value) - FORM(input[name]) - URL(path?param#resource) - HTTP(?params{body}) - SCRIPT(--attribute) - DB(model?filters) - FS(folder/filer/{content}) [...] ↑ - https://www.w3.org/OWL/ maybe to harmonize the... - Source: Hacker News / almost 2 years ago
  • Ingesting Data into OpenSearch using Apache Kafka and Go
    Scalable data ingestion is a key aspect for a large-scale distributed search and analytics engine like OpenSearch. One of the ways to build a real-time data ingestion pipeline is to use Apache Kafka. It's an open-source event streaming platform used to handle high data volume (and velocity) and integrates with a variety of sources including relational and NoSQL databases. For example, one of the canonical use... - Source: dev.to / almost 2 years ago
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What are some alternatives?

When comparing Tablesome and OpenSearch, you can also consider the following products

FooTable - A responsive table plugin built on jQuery and made for Bootstrap.

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

GraphUp – jQuery Plugin - GraphUp is a minimalistic jQuery Plugin that allows you to beautify your data tables.

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

Kidd Sticky Table - Kidd Sticky Table is a handy plugin built using jQuery to make it easy to edit a table with fixed left columns and header elements.

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.