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  5. Amazon EC2 vs Amazon EMR

Amazon EC2 vs Amazon EMR

OverviewDecisionsComparisonAlternatives

Overview

Amazon EC2
Amazon EC2
Stacks48.6K
Followers36.0K
Votes2.5K
Amazon EMR
Amazon EMR
Stacks542
Followers682
Votes54

Amazon EC2 vs Amazon EMR: What are the differences?

Amazon EC2 (Elastic Compute Cloud) and Amazon EMR (Elastic MapReduce) are two popular services offered by Amazon Web Services (AWS) that provide computing capabilities. While both services offer scalable and cloud-based computing resources, there are key differences between them.

  1. Use Case: Amazon EC2 is primarily designed for general-purpose computing tasks and allows users to create and manage virtual machines in the cloud. On the other hand, Amazon EMR is specifically tailored for big data processing and analytics, providing a managed Hadoop framework along with other popular big data processing tools.

  2. Managed Services: Amazon EC2 provides virtual servers that users have full control over, allowing them to install and configure any software and services they need. Amazon EMR, however, is a managed service that abstracts away the underlying infrastructure, automatically provisioning and configuring the required resources for big data processing tasks.

  3. Scalability and Auto-scaling: Amazon EC2 offers manual scaling, where users can manually increase or decrease the number of instances based on their needs. In contrast, Amazon EMR supports both manual scaling and auto-scaling, enabling the cluster to automatically add or remove instances based on the workload.

  4. Instance Types: Amazon EC2 provides a wide range of instance types optimized for different use cases, such as compute-intensive, memory-intensive, or GPU-intensive workloads. Amazon EMR also offers a variety of instance types but focuses more on providing instances optimized for big data processing, such as instances with high-capacity storage or instances with powerful compute capabilities.

  5. Data Processing Tools: While Amazon EC2 provides the flexibility to install and use any data processing tools, Amazon EMR comes prepackaged with popular big data processing tools like Apache Hadoop, Spark, Hive, and Impala. This makes it easier for users to get started with big data processing without the need for manual installations and configurations.

  6. Pricing: Amazon EC2 pricing is based on the instance types, storage, data transfer, and other resources used. Amazon EMR pricing includes both EC2 instances and the additional cost for the EMR service itself. Additionally, Amazon EMR offers the option to use Spot Instances, providing significant cost savings for workloads that can tolerate interruptions.

In summary, while both Amazon EC2 and Amazon EMR are cloud-based computing services offered by AWS, they have distinct differences in terms of their use cases, managed services, scalability, instance types, data processing tools, and pricing models. Understanding these differences is crucial in choosing the right service for specific computing or big data processing needs.

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Advice on Amazon EC2, Amazon EMR

Craig
Craig

Principal Consultant at Rootwork InfoTech LLC

Jul 16, 2020

Decided

We first selected Google Cloud Platform about five years ago, because HIPAA compliance was significantly cheaper and easier on Google compared to AWS. We have stayed with Google Cloud because it provides an excellent command line tool for managing resources, and every resource has a well-designed, well-documented API. SDKs for most of these APIs are available for many popular languages. I have never worked with a cloud platform that's so amenable to automation. Google is also ahead of its competitors in Kubernetes support.

200k views200k
Comments
Jerome/Zen
Jerome/Zen

Software Engineer

Aug 2, 2020

Needs advice

DigitalOcean was where I began; its USD5/month is extremely competitive and the overall experience as highly user-friendly.

However, their offerings were lacking and integrating with other resources I had on AWS was getting more costly (due to transfer costs on AWS). Eventually I moved the entire project off DO's Droplets and onto AWS's EC2.

One may initially find the cost (w/o free tier) and interface of AWS daunting however with good planning you can achieve highly cost-efficient systems with savings plans, spot instances, etcetera.

Do not dive into AWS head-first! Seriously, don't. Stand back and read pricing documentation thoroughly. You can, not to the fault of AWS, easily go way overbudget. Your first action upon getting your AWS account should be to set up billing alarms for estimated and current bill totals.

264k views264k
Comments
Abigail
Abigail

Dec 10, 2019

Decided

Most bioinformatics shops nowadays are hosting on AWS or Azure, since they have HIPAA tiers and offer enterprise SLA contracts. Meanwhile Heroku hasn't historically supported HIPAA. Rackspace and Google Cloud would be other hosting providers we would consider, but we just don't get requests for them. So, we mostly focus on AWS and Azure support.

156k views156k
Comments

Detailed Comparison

Amazon EC2
Amazon EC2
Amazon EMR
Amazon EMR

It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.

It is used in a variety of applications, including log analysis, data warehousing, machine learning, financial analysis, scientific simulation, and bioinformatics.

Elastic – Amazon EC2 enables you to increase or decrease capacity within minutes, not hours or days. You can commission one, hundreds or even thousands of server instances simultaneously.;Completely Controlled – You have complete control of your instances. You have root access to each one, and you can interact with them as you would any machine.;Flexible – You have the choice of multiple instance types, operating systems, and software packages. Amazon EC2 allows you to select a configuration of memory, CPU, instance storage, and the boot partition size that is optimal for your choice of operating system and application.;Designed for use with other Amazon Web Services – Amazon EC2 works in conjunction with Amazon Simple Storage Service (Amazon S3), Amazon Relational Database Service (Amazon RDS), Amazon SimpleDB and Amazon Simple Queue Service (Amazon SQS) to provide a complete solution for computing, query processing and storage across a wide range of applications.;Reliable – Amazon EC2 offers a highly reliable environment where replacement instances can be rapidly and predictably commissioned. The Amazon EC2 Service Level Agreement commitment is 99.95% availability for each Amazon EC2 Region.;Secure – Amazon EC2 works in conjunction with Amazon VPC to provide security and robust networking functionality for your compute resources.;Inexpensive – Amazon EC2 passes on to you the financial benefits of Amazon’s scale. You pay a very low rate for the compute capacity you actually consume.;Easy to Start – Quickly get started with Amazon EC2 by visiting AWS Marketplace to choose preconfigured software on Amazon Machine Images (AMIs). You can quickly deploy this software to EC2 via 1-Click launch or with the EC2 console.
Elastic- Amazon EMR enables you to quickly and easily provision as much capacity as you need and add or remove capacity at any time. Deploy multiple clusters or resize a running cluster;Low Cost- Amazon EMR is designed to reduce the cost of processing large amounts of data. Some of the features that make it low cost include low hourly pricing, Amazon EC2 Spot integration, Amazon EC2 Reserved Instance integration, elasticity, and Amazon S3 integration.;Flexible Data Stores- With Amazon EMR, you can leverage multiple data stores, including Amazon S3, the Hadoop Distributed File System (HDFS), and Amazon DynamoDB.;Hadoop Tools- EMR supports powerful and proven Hadoop tools such as Hive, Pig, and HBase.
Statistics
Stacks
48.6K
Stacks
542
Followers
36.0K
Followers
682
Votes
2.5K
Votes
54
Pros & Cons
Pros
  • 647
    Quick and reliable cloud servers
  • 515
    Scalability
  • 393
    Easy management
  • 277
    Low cost
  • 271
    Auto-scaling
Cons
  • 14
    Ui could use a lot of work
  • 6
    High learning curve when compared to PaaS
  • 3
    Extremely poor CPU performance
Pros
  • 15
    On demand processing power
  • 12
    Don't need to maintain Hadoop Cluster yourself
  • 7
    Hadoop Tools
  • 6
    Elastic
  • 4
    Backed by Amazon

What are some alternatives to Amazon EC2, Amazon EMR?

DigitalOcean

DigitalOcean

We take the complexities out of cloud hosting by offering blazing fast, on-demand SSD cloud servers, straightforward pricing, a simple API, and an easy-to-use control panel.

Microsoft Azure

Microsoft Azure

Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.

Google Compute Engine

Google Compute Engine

Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.

Linode

Linode

Get a server running in minutes with your choice of Linux distro, resources, and node location.

Scaleway

Scaleway

European cloud computing company proposing a complete & simple public cloud ecosystem, bare-metal servers & private datacenter infrastructures.

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Amazon Redshift

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Rackspace Cloud Servers

Rackspace Cloud Servers

Cloud Servers is based on OpenStack, the open and scalable operating system for building public and private clouds. With the open cloud, you get reliable cloud hosting, without locking your data into one proprietary platform.

Qubole

Qubole

Qubole is a cloud based service that makes big data easy for analysts and data engineers.

Altiscale

Altiscale

we run Apache Hadoop for you. We not only deploy Hadoop, we monitor, manage, fix, and update it for you. Then we take it a step further: We monitor your jobs, notify you when something’s wrong with them, and can help with tuning.

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