Software Alternatives & Reviews

Schema.org VS Amazon Athena

Compare Schema.org VS Amazon Athena and see what are their differences

Schema.org logo Schema.org

Schema.org provides schemas for structured data on the Internet, on web pages, in email messages, and beyond.

Amazon Athena logo Amazon Athena

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
  • Schema.org Landing page
    Landing page //
    2023-07-12
  • Amazon Athena Landing page
    Landing page //
    2023-03-17

Schema.org videos

Review Schema - Get Review Stars in Google With Schema.org Markup

More videos:

  • Tutorial - How to Use Schema.org to Create and Add Structured Data to Your Website

Amazon Athena videos

AWS Big Data: What is Amazon Athena?

More videos:

  • Review - Deep Dive on Amazon Athena - AWS Online Tech Talks
  • Review - Deep Dive on Amazon Athena - AWS Online Tech Talks

Category Popularity

0-100% (relative to Schema.org and Amazon Athena)
SEO
100 100%
0% 0
Databases
0 0%
100% 100
SEO Tools
100 100%
0% 0
Database Management
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 Schema.org and Amazon Athena

Schema.org Reviews

73 Best SEO tools 2021 – The Most Epic List You Shouldn’t Miss
The good thing here is that the best SEO tools 2020 like Schema creator to quickly help them build and stay up to date with schema.org requirements.

Amazon Athena Reviews

We have no reviews of Amazon Athena yet.
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Social recommendations and mentions

Based on our record, Schema.org should be more popular than Amazon Athena. It has been mentiond 145 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.

Schema.org mentions (145)

  • Make your resume SEO friendly using JSON Resume with microdata
    Itemscope itemtype="https://schema.org/Person"> itemprop="name">Scott Nath Work History itemprop="alumniOf" itemscope itemtype="https://schema.org/Organization"> itemprop="name">Company ABC itemprop="description">...company description... itemprop="employee" itemscope itemtype="https://schema.org/EmployeeRole"> itemprop="roleName">Software developer ... - Source: dev.to / 5 days ago
  • How to Boost SEO by Enhancing HTML with Microdata
    I've been re-writing the HTML of my site and added structured data, in the form of microdata attributes, following the Schema.org vocabulary set. Structured data can be understood by search engines and other machines, giving your content structure and context. - Source: dev.to / 7 days ago
  • The Future of Documentation is Personalized
    Implementing Structured Data Markup annotation system, which can provide additional context about the content to search engines. Structured data markup such as Schema.org can be used to aid search engines to understand the content relevance and significance. This approach can help improve search results by improved ranking and visibility of the content. - Source: dev.to / 26 days ago
  • Next.js App Router SEO overview
    Export default async function Page({ params }) { const product = await getProduct(params.id); const jsonLd = { "@context": "https://schema.org", "@type": "Product", name: product.name, image: product.image, description: product.description, }; return ( {/* Add JSON-LD to your page */} - Source: dev.to / 27 days ago
  • How to Add JSON-LD Structured Data to a Next.js Website
    Const Article = () => { // Dummy article data const article = { title: 'Sample Article Title', description: 'This is a sample article description.', datePublished: '2024-03-23', author: { "@type": "Person", "name": "John Doe" }, image: "https://via.placeholder.com/800x400", publisher: { "@type": "Organization", "name": "Sample News", "logo": { ... - Source: dev.to / about 2 months ago
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Amazon Athena mentions (20)

  • Spatial Search of Amazon S3 Express One Zone Data with Amazon Athena and Visualized It in QGIS
    Prepare GIS data for use with Amazon Athena. This time, we created four types of sample data in QGIS in advance. - Source: dev.to / 5 months ago
  • Enhancing AWS Athena Efficiency - Building a Python Athena Client
    If you have not heard about AWS Athena, I encourage you to take a look at this service. You can read more about it here. - Source: dev.to / 6 months ago
  • Best architecture to provide real time data analytics to users?
    Probably S3 Select or Athena? https://aws.amazon.com/athena/ Both can query S3 directly. Source: about 1 year ago
  • How to browse an RDS snapshot that has been exported to S3
    You can use athena to query data out of parquet files in S3. Source: about 1 year ago
  • AWS Beginner's Key Terminologies
    Amazon Athena (analytics) Amazon Athena is an interactive query service that you can use to analyze data in Amazon S3 using ANSI SQL. Athena is serverless, so there's no infrastructure to manage. Athena scales automatically and is simple to use, so you can start analyzing your datasets within seconds. Https://aws.amazon.com/athena/. - Source: dev.to / over 1 year ago
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What are some alternatives?

When comparing Schema.org and Amazon Athena, you can also consider the following products

Ping-O-Matic - Service to update different search engines that your blog has updated.

phpMyAdmin - phpMyAdmin is a tool written in PHP intended to handle the administration of MySQL over the Web.

TotalPing! - Promote your blog with TotalPing!

SQLyog - Webyog develops MySQL database client tools. Monyog MySQL monitor and SQLyog MySQL GUI & admin are trusted by 2.5 million users across the globe.

WooRank - Woorank is a Digital Marketing tool providing Instant Website Reviews & Personalized Tips for driving Traffic, Leads & Sales. Woorank covers: SEO, Mobile rendering, Social Media data, SERP ranking, backlinks, usability & servers optimization.

Sequel Pro - MySQL database management for Mac OS X