Software Alternatives, Accelerators & Startups

OpenSearch VS Read Something Great

Compare OpenSearch VS Read Something Great and see what are their differences

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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.

Read Something Great logo Read Something Great

A fun tool to help fix your information diet.
  • OpenSearch Landing page
    Landing page //
    2023-08-18
  • Read Something Great Landing page
    Landing page //
    2022-03-14

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.

Read Something Great features and specs

  • Curated Content
    The platform offers a selection of thoughtfully curated content, ensuring high-quality reading material for users.
  • Diverse Topics
    Read Something Great covers a wide range of subjects, making it suitable for a variety of interests and preferences.
  • User-Friendly Interface
    The website is designed with a clean and intuitive interface, making it easy for users to navigate and find content.
  • Inspiration and Discovery
    Users can discover new ideas and gain inspiration through the handpicked articles and essays available on the platform.

Possible disadvantages of Read Something Great

  • Limited Content
    The platform may not have as extensive a collection as larger, more established reading services, potentially limiting the variety of available articles.
  • No Customization Options
    There are limited or no options for users to customize their content preferences, which might not cater to specific or niche interests.
  • Subscription Requirement
    Access to full content may require a subscription or payment, which could be a deterrent for some users.
  • No Offline Access
    Users might not have the option to download or access content offline, which could be inconvenient for those who like to read without an internet connection.

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.

OpenSearch videos

OpenSearch - What the Fork is it?

Read Something Great videos

No Read Something Great videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to OpenSearch and Read Something Great)
Custom Search Engine
100 100%
0% 0
Productivity
0 0%
100% 100
Search Engine
100 100%
0% 0
Tech
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, OpenSearch seems to be a lot more popular than Read Something Great. While we know about 26 links to OpenSearch, we've tracked only 1 mention of Read Something Great. 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.

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
View more

Read Something Great mentions (1)

  • I made a website that'll help you discover timeless articles from the belly of the internet.
    It's (unimaginatively) called Read Something Great, and serves up 5 timeless articles a day, each in a different category. Source: about 3 years ago

What are some alternatives?

When comparing OpenSearch and Read Something Great, you can also consider the following products

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

Search Later - Save interesting article keywords to Google them later 🤓

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

Silicon.news - A must-read weekly briefing on Silicon Valley funding news.

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.

Relayable - Interesting articles published by the feeds you follow.