Amazon EC2

Amazon EC2

Amazon
Amazon EMR

Amazon EMR

Amazon
+
+

Related Products

  • Servers.com by Nexcess
    15 Ratings
    Visit Website
  • Google Compute Engine
    1,167 Ratings
    Visit Website
  • OpenMetal
    40 Ratings
    Visit Website
  • Nexcess Digital Cloud
    205 Ratings
    Visit Website
  • Nexcess Managed Cloud
    210 Ratings
    Visit Website
  • Runpod
    230 Ratings
    Visit Website
  • Google Cloud Platform
    61,023 Ratings
    Visit Website
  • Dragonfly
    16 Ratings
    Visit Website
  • InMotion Hosting
    3,077 Ratings
    Visit Website
  • sellerboard
    169 Ratings
    Visit Website

About

Amazon Elastic Compute Cloud (Amazon EC2) is a web service that provides secure, resizable compute capacity in the cloud. It is designed to make web-scale cloud computing easier for developers. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 delivers the broadest choice of compute, networking (up to 400 Gbps), and storage services purpose-built to optimize price performance for ML projects. Build, test, and sign on-demand macOS workloads. Access environments in minutes, dynamically scale capacity as needed, and benefit from AWS’s pay-as-you-go pricing. Access the on-demand infrastructure and capacity you need to run HPC applications faster and cost-effectively. Amazon EC2 delivers secure, reliable, high-performance, and cost-effective compute infrastructure to meet demanding business needs.

About

Amazon EMR is the industry-leading cloud big data platform for processing vast amounts of data using open-source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi, and Presto. With EMR you can run Petabyte-scale analysis at less than half of the cost of traditional on-premises solutions and over 3x faster than standard Apache Spark. For short-running jobs, you can spin up and spin down clusters and pay per second for the instances used. For long-running workloads, you can create highly available clusters that automatically scale to meet demand. If you have existing on-premises deployments of open-source tools such as Apache Spark and Apache Hive, you can also run EMR clusters on AWS Outposts. Analyze data using open-source ML frameworks such as Apache Spark MLlib, TensorFlow, and Apache MXNet. Connect to Amazon SageMaker Studio for large-scale model training, analysis, and reporting.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

All types of businesses and organizations seeking a tool providing secure and resizable compute capacity for virtually any workload

Audience

Companies that want to easily run and scale Apache Spark, Hive, Presto, and other big data frameworks

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

There are five ways to pay for Amazon EC2 instances: On-Demand, Savings Plans, Reserved Instances, and Spot Instances. You can also pay for Dedicated Hosts which provide you with EC2 instance capacity on physical servers dedicated for your use.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.5 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • High availability. Seamless integration with other AWS services. GPU instances available for graphically-intensive tasks. Lots of customizable options. Included in the free tier of AWS. Pay as you use pricing model. Better pricing than competitors (like Azure).
  • Easy to setup & use. Various categories of hardware with multiple pricing options. Highly scalable with Auto Scaling Groups. Large number of pre-built machine images (AMIs). Ability to create custom images. Secure & high availability.

Cons

  • It may take time for new users to set it up as there are lot of options and no 'wizard' setup guide.
  • Although there has been a recent overhaul of the interface, there could be more improvements to make various options and features easier to understand and use.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/ec2/

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com/emr/

Alternatives

Alternatives

AWS Glue

AWS Glue

Amazon
E-MapReduce

E-MapReduce

Alibaba
Apache Spark

Apache Spark

Apache Software Foundation

Categories

Categories

Infrastructure-as-a-Service (IaaS) Features

Analytics / Reporting
Configuration Management
Data Migration
Data Security
Load Balancing
Log Access
Network Monitoring
Performance Monitoring
SLA Monitoring

Integrations

AWS App Mesh
AWS Data Pipeline
Amazon S3 Express One Zone
Apache Spark
CopperEgg
EC2 Spot
MetricFire
New Relic
Protegrity
Veza
AWS Directory Service
Amazon Inspector
Competera
OpCon
Pelanor
QuoteWerks
iText
pdfRest API Toolkit Self-Hosted

Integrations

AWS App Mesh
AWS Data Pipeline
Amazon S3 Express One Zone
Apache Spark
CopperEgg
EC2 Spot
MetricFire
New Relic
Protegrity
Veza
AWS Directory Service
Amazon Inspector
Competera
OpCon
Pelanor
QuoteWerks
iText
pdfRest API Toolkit Self-Hosted
Claim Amazon EC2 and update features and information
Claim Amazon EC2 and update features and information
Claim Amazon EMR and update features and information
Claim Amazon EMR and update features and information