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Amazon EKS VS Data Miner

Compare Amazon EKS VS Data Miner and see what are their differences

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Amazon EKS logo Amazon EKS

Amazon EKS makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.

Data Miner logo Data Miner

Data Miner is a Google Chrome extension that helps you scrape data from web pages and into a CSV file or Excel spreadsheet.
  • Amazon EKS Landing page
    Landing page //
    2022-01-30
  • Data Miner Landing page
    Landing page //
    2021-10-14

Amazon EKS features and specs

  • Managed Service
    Amazon EKS is a managed Kubernetes service, which means AWS handles the control plane, saving time and operational overhead.
  • Scalability
    EKS integrates with AWS's scaling tools such as Auto Scaling groups, allowing for seamless scaling of applications.
  • Security
    Offers integration with AWS IAM for authentication and supports network policies and encryption for securing applications.
  • AWS Ecosystem Integration
    Deeply integrated with other AWS services like VPC, IAM, CloudWatch, and more, providing a streamlined experience.
  • Community and Ecosystem Support
    Being a Kubernetes service, it benefits from the extensive Kubernetes ecosystem and community support for tools and extensions.

Possible disadvantages of Amazon EKS

  • Cost
    While EKS simplifies management, it comes with additional costs over using self-managed Kubernetes clusters.
  • Complexity
    EKS, like Kubernetes itself, can be complex to manage and configure, needing skilled personnel to handle deployments.
  • Vendor Lock-In
    Reliance on AWS services can make it hard to migrate to another cloud provider or an on-premises solution if needed.
  • Steeper Learning Curve
    Organizations new to Kubernetes might find the learning curve steep when adopting EKS, requiring significant training and adjustment.
  • Regional Availability
    EKS might not be available in all AWS regions, limiting deployment flexibility for global applications.

Data Miner features and specs

  • User-Friendly Interface
    Data Miner offers a clean and intuitive user interface that allows users to easily navigate and set up web scraping tasks without requiring extensive technical knowledge.
  • Browser Extension
    Being available as a browser extension for both Chrome and Edge makes it easy to install and use directly within the browser, without needing separate software installations.
  • Pre-built Recipes
    Data Miner provides a library of pre-built recipes for common web scraping tasks, enabling users to quickly deploy scrapers without starting from scratch.
  • Custom Recipes
    Users have the option to create custom recipes, offering flexibility and the ability to tailor scraping tasks to specific needs.
  • Cloud Storage
    Offers cloud storage options that allow users to save and manage their scraped data directly on the platform for easy access and organization.
  • Export Options
    Supports multiple export formats like CSV, XLS, and Google Sheets, making it easy for users to integrate scraped data with other tools and workflows.
  • Scheduling
    Allows users to schedule scraping tasks, automating the data collection process at specified intervals.

Possible disadvantages of Data Miner

  • Limited Free Tier
    The free version of Data Miner is limited in terms of the number of rows and pages that can be scraped, which may not be sufficient for more extensive data collection needs.
  • Learning Curve
    While the interface is user-friendly, there can still be a learning curve for users unfamiliar with web scraping concepts and the tool itself.
  • Browser Dependence
    As Data Miner is a browser extension, its functionality is limited to the browser environment, which might not be ideal for more complex or large-scale web scraping tasks.
  • Potential Website Restrictions
    Some websites actively prevent scraping activities, which could limit the effectiveness of Data Miner on certain web pages.
  • Subscription Cost
    Advanced features and higher usage requirements necessitate a subscription plan, which may be costly for individual users or small businesses.
  • Reliance on Internet Stability
    As an online tool, its performance can be hindered by poor internet connectivity, potentially disrupting the scraping process.

Analysis of Data Miner

Overall verdict

  • Data Miner is generally considered a good tool for individuals and businesses that need to quickly and easily extract large amounts of data from websites without the need for advanced technical skills. It is appreciated for its ease of use and effectiveness in various scenarios.

Why this product is good

  • Data Miner (dataminer.io) is a web scraping tool that allows users to extract data from websites into various formats such as CSV or Excel. It is known for its user-friendly interface and does not require any programming skills, making it accessible to many users. Additionally, it offers a number of ready-made scraping recipes and the ability to create custom ones, adding flexibility to its use.

Recommended for

  • Researchers
  • Marketers
  • Data Analysts
  • Business Professionals
  • Anyone needing to automate data extraction from websites

Amazon EKS videos

+ Add

Amazon EKS Architecture Introduction

More videos:

  • Review - AWS re:Invent 2018: [REPEAT 1] Deep Dive on Amazon EKS (CON361-R1)
  • Review - AWS re:Invent 2020: Looking at Amazon EKS through a networking lens
  • Review - Amazon EKS Roadmap - Nathan Taber
  • Review - AWS re:Invent 2023 - The future of Amazon EKS (CON203)
  • Review - Amazon Elastic Container Service for Kubernetes (Amazon EKS)

Data Miner videos

+ Add

Data Miner 4.0

Category Popularity

0-100% (relative to Amazon EKS and Data Miner)

Amazon EKS

Data Miner

Cloud Computing
100 100%
Cloud Computing
0% 0
Web Scraping
0 0%
Web Scraping
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Data Extraction
0 0%
Data Extraction
100% 100

User comments

Share your experience with using Amazon EKS and Data Miner. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Amazon EKS seems to be a lot more popular than Data Miner. While we know about 79 links to Amazon EKS, we've tracked only 7 mentions of Data Miner. 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.

Amazon EKS mentions (79)

  • Kubernetes kills your pod? Here's why
    On managed Kubernetes platforms like EKS, this has a second benefit: the cluster autoscaler pays attention to resource requests when deciding whether to add new nodes. - Source: dev.to / 3 months ago
  • Optimising GenAI/ML workloads in AWS EKS with Karpenter
    After returning from AWS Summit London 2026 I was doing some research on running AI/ML workload in AWS EKS with Karpenter. With some assistance from Gemini I turned some of my notes from various talks into this guide that will talk through the intricacies of deploying and scaling Generative AI (GenAI) workloads on AWS EKS, leveraging the power of Karpenter. - Source: dev.to / 4 months ago
  • LLM on EKS: Serving with vLLM
    This post is a small step in that direction: serving an LLM using vLLM, deployed on Amazon EKS, provisioned the infra using AWS CDK, and wrapped into a simple chatbot using Streamlit. - Source: dev.to / 4 months ago
  • Modern Java Observability in 2026 - Spring Boot 4 on Amazon EKS
    In this post, I'll walk you through setting up observability for Spring Boot applications on Amazon EKS - starting with the basics (logs and metrics), diving into distributed tracing, and finishing with Application Signals. Hopefully this saves you some time. - Source: dev.to / 8 months ago
  • HOW TO: Run Spark on Kubernetes with AWS EMR on EKS (2025)
    Running Apache Spark on Kubernetes with AWS EMR on EKS brings big benefits – you get the best of both worlds. AWS EMR's optimized Spark runtime and AWS EKS's container orchestration come together in one managed platform. Sure, you could run Spark on Kubernetes yourself, but it's a lot of manual work. You'd need to create a custom container image, set up networking, and handle a bunch of other configurations. But... - Source: dev.to / 10 months ago
View more

Data Miner mentions (7)

  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Data Miner - A browser extension (Google Chrome, MS Edge) for data extraction from web pages CSV or Excel. The free plan gives you 500 pages/month. - Source: dev.to / over 2 years ago
  • What's something you'd like to see implemented on AO3?
    The web app at https://dataminer.io/. If you open it on your Saved for Later page, it should show you a public "recipe" that I made to scrape the data. Possibly others as well. Source: almost 4 years ago
  • free-for.dev
    Data Miner - A browser extension (Google Chrome, MS Edge) for data extraction from web pages CSV or Excel. The free plan gives you 500 pages/month. - Source: dev.to / almost 4 years ago
  • Need help exporting references from CENTRAL
    Ungh, annoying. There are lots of free scraping tools you could play with like https://dataminer.io but I have no idea how practical that approach will be for you. Source: almost 4 years ago
  • Are cover letters super important in getting internships and jobs?
    Go on your states licensure website, look up the directory of licensed professionals and use a data mining tool (https://dataminer.io/) to scrape the website of all the emails or everyone who's licensed. Source: about 4 years ago
View more

What are some alternatives?

When comparing Amazon EKS and Data Miner, you can also consider the following products

Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

Apify - Apify is a web scraping and automation platform that can turn any website into an API.

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

import.io - Import. io helps its users find the internet data they need, organize and store it, and transform it into a format that provides them with the context they need.

Azure Container Service - Azure Container Service is a solution that optimizes the configuration of popular open-source tools and technologies specifically for Azure, it provides an open solution that offers portability for both users containers and users application configu…

Octoparse - Octoparse provides easy web scraping for anyone. Our advanced web crawler, allows users to turn web pages into structured spreadsheets within clicks.

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