Software Alternatives & Reviews

Amazon EKS VS BigML

Compare Amazon EKS VS BigML and see what are their differences

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.

BigML logo BigML

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
  • Amazon EKS Landing page
    Landing page //
    2022-01-30
  • BigML Landing page
    Landing page //
    2022-10-08

Amazon EKS videos

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

BigML videos

BigML is Machine Learning for Everyone

More videos:

  • Review - BigML Spring 2016 Webinar - WhizzML!

Category Popularity

0-100% (relative to Amazon EKS and BigML)
Cloud Computing
100 100%
0% 0
Data Science And Machine Learning
Developer Tools
100 100%
0% 0
Data Science Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Amazon EKS seems to be a lot more popular than BigML. While we know about 55 links to Amazon EKS, we've tracked only 2 mentions of BigML. 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 (55)

  • Multi-region YugabyteDB deployment on AWS EKS with Istio
    AWS EKS provides a managed Kubernetes service, simplifying cluster management and deployment. Istio, an open-source service mesh, enables traffic management, security, and observability across microservices. - Source: dev.to / 5 days ago
  • The 2024 Web Hosting Report
    Docker swarm still exists, it still works, and some of these other container orchestrators are still hanging on, but for the most part, you’re using Kubernetes if you’re doing this stuff at work. Generally it's well-understood that kubernetes is hard to get right, and so most people use it via a managed provider like Elastic Kubernetes Service from AWS, Azure Kubernetes Service from MSFT, or Google Kubernetes... - Source: dev.to / 3 months ago
  • 15 Options To Build A Kubernetes Playground (with Pros and Cons)
    AWS Elastic Kubernetes Service (EKS) AWS Elastic Kubernetes Service (EKS) is a managed Kubernetes service provided by Amazon Web Services (AWS). It simplifies the process of deploying, managing, and scaling containerized applications using Kubernetes on AWS. EKS integrates with other AWS services, such as Elastic Load Balancing, Amazon RDS, and Amazon S3, providing a seamless experience for running containerized... - Source: dev.to / 3 months ago
  • Best Practices for Seamless EKS Cluster Upgrades with Fargate: A Hands-On Guide
    As cloud-native architectures evolve, managing Kubernetes clusters becomes pivotal for maintaining optimal performance and security. Amazon EKS, combined with Fargate for serverless pod execution, offers a powerful solution. In this guide, we'll delve into best practices for EKS cluster upgrades with Fargate, providing a hands-on approach to ensure a seamless transition. Let's embark on the journey of mastering... - Source: dev.to / 4 months ago
  • Programmatically retrieving secrets from Parameter Store and Secrets Manager
    Although I'll use Lambda functions in the examples, we can transfer the concepts to other compute resources, like EC2 instances, and ECS or EKS containers. - Source: dev.to / 9 months ago
View more

BigML mentions (2)

  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Bigml.com — Hosted machine learning algorithms. Unlimited free tasks for development, limit of 16 MB data/task. - Source: dev.to / almost 3 years ago
  • Theory: The price action was intentionally manipulated to prevent any AI from being able to predict it. First time this model shows as flat. Forever.
    They know the website is bigml.com it's possible they have many magnitudes better algorithms to predict this shit. And it's also possible they paid some quants to come up with price action that just completely fucks with BigML's algorithm entirely to make it look flat. Source: about 3 years ago

What are some alternatives?

When comparing Amazon EKS and BigML, 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.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

AWS Fargate - AWS Fargate is a compute engine for Amazon ECS and EKS that allows you to run containers without having to manage servers or clusters.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Amazon ECS - Amazon EC2 Container Service is a highly scalable, high-performance​ container management service that supports Docker containers.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.