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  1. Stackups
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  4. Dns Management
  5. Amazon Route 53 vs Azure Machine Learning

Amazon Route 53 vs Azure Machine Learning

OverviewDecisionsComparisonAlternatives

Overview

Amazon Route 53
Amazon Route 53
Stacks14.5K
Followers9.4K
Votes678
Azure Machine Learning
Azure Machine Learning
Stacks241
Followers373
Votes0

Amazon Route 53 vs Azure Machine Learning: What are the differences?

What is Amazon Route 53? A highly available and scalable Domain Name System (DNS) web service. Amazon Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications by translating human readable names like www.example.com into the numeric IP addresses like 192.0.2.1 that computers use to connect to each other. Route 53 effectively connects user requests to infrastructure running in Amazon Web Services (AWS) – such as an Amazon Elastic Compute Cloud (Amazon EC2) instance, an Amazon Elastic Load Balancer, or an Amazon Simple Storage Service (Amazon S3) bucket – and can also be used to route users to infrastructure outside of AWS.

What is Azure Machine Learning? A fully-managed cloud service for predictive analytics. Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Amazon Route 53 and Azure Machine Learning are primarily classified as "DNS Management" and "Machine Learning as a Service" tools respectively.

Some of the features offered by Amazon Route 53 are:

  • Highly Available and Reliable – Route 53 is built using AWS’s highly available and reliable infrastructure. The distributed nature of our DNS servers helps ensure a consistent ability to route your end users to your application. Route 53 is designed to provide the level of dependability required by important applications. Amazon Route 53 is backed by the Amazon Route 53 Service Level Agreement.
  • Scalable – Route 53 is designed to automatically scale to handle very large query volumes without any intervention from you.
  • Designed for use with other Amazon Web Services – Route 53 is designed to work well with other AWS features and offerings. You can use Route 53 to map domain names to your Amazon EC2 instances, Amazon S3 buckets, Amazon CloudFront distributions, and other AWS resources. By using the AWS Identity and Access Management (IAM) service with Route 53, you get fine grained control over who can update your DNS data. You can use Route 53 to map your zone apex (example.com versus www.example.com) to your Elastic Load Balancing instance or Amazon S3 website bucket using a feature called Alias record.

On the other hand, Azure Machine Learning provides the following key features:

  • Designed for new and experienced users
  • Proven algorithms from MS Research, Xbox and Bing
  • First class support for the open source language R

According to the StackShare community, Amazon Route 53 has a broader approval, being mentioned in 1396 company stacks & 470 developers stacks; compared to Azure Machine Learning, which is listed in 12 company stacks and 8 developer stacks.

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Advice on Amazon Route 53, Azure Machine Learning

Eric
Eric

Service Engineer at Zix Corporation

Aug 5, 2020

Needs adviceonAmazon Route 53Amazon Route 53

We are looking for advice / best-practices / caveats about migrating off BIND on to Unbound https://nlnetlabs.nl/projects/unbound/about/ for internal & external (customer-facing) DNS. Is unbound suitable for this, or is it only recommended for caching? How easy or difficult is it to move 10000's of existing BIND DNS zone entries? We already use Amazon Route 53 for our AWS instances and Cloud DNS for our GCP ones, but would like to maintain internal DNS for cost, control, and latency reasons.

58.6k views58.6k
Comments

Detailed Comparison

Amazon Route 53
Amazon Route 53
Azure Machine Learning
Azure Machine Learning

Amazon Route 53 is designed to give developers and businesses an extremely reliable and cost effective way to route end users to Internet applications by translating human readable names like www.example.com into the numeric IP addresses like 192.0.2.1 that computers use to connect to each other. Route 53 effectively connects user requests to infrastructure running in Amazon Web Services (AWS) – such as an Amazon Elastic Compute Cloud (Amazon EC2) instance, an Amazon Elastic Load Balancer, or an Amazon Simple Storage Service (Amazon S3) bucket – and can also be used to route users to infrastructure outside of AWS.

Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Highly Available and Reliable – Route 53 is built using AWS’s highly available and reliable infrastructure. The distributed nature of our DNS servers helps ensure a consistent ability to route your end users to your application. Route 53 is designed to provide the level of dependability required by important applications. Amazon Route 53 is backed by the Amazon Route 53 Service Level Agreement.;Scalable – Route 53 is designed to automatically scale to handle very large query volumes without any intervention from you.;Designed for use with other Amazon Web Services – Route 53 is designed to work well with other AWS features and offerings. You can use Route 53 to map domain names to your Amazon EC2 instances, Amazon S3 buckets, Amazon CloudFront distributions, and other AWS resources. By using the AWS Identity and Access Management (IAM) service with Route 53, you get fine grained control over who can update your DNS data. You can use Route 53 to map your zone apex (example.com versus www.example.com) to your Elastic Load Balancing instance or Amazon S3 website bucket using a feature called Alias record.;Simple – With self-service sign-up, Route 53 can start to answer your DNS queries within minutes. You can configure your DNS settings with the AWS Management Console or our easy-to-use API. You can also programmatically integrate the Route 53 API into your overall web application. For instance, you can use Route 53’s API to create a new DNS record whenever you create a new EC2 instance.;Fast – Using a global anycast network of DNS servers around the world, Route 53 is designed to automatically route your users to the optimal location depending on network conditions. As a result, the service offers low query latency for your end users, as well as low update latency for your DNS record management needs.;Cost-Effective – Route 53 passes on the benefits of AWS’s scale to you. You pay only for managing domains through the service and the number of queries that the service answers for each of your domains, at a low cost and without minimum usage commitments or any up-front fees.;Secure – By integrating Route 53 with AWS Identity and Access Management (IAM), you can grant unique credentials and manage permissions for every user within your AWS account and specify who has access to which parts of the Route 53 service.;Flexible – Route 53 offers Weighted Round-Robin (WRR), also known as DNS load balancing. This lets you assign weights to your DNS records that specify what portion of your traffic is routed to various endpoints.
Designed for new and experienced users;Proven algorithms from MS Research, Xbox and Bing;First class support for the open source language R;Seamless connection to HDInsight for big data solutions;Deploy models to production in minutes;Pay only for what you use. No hardware or software to buy
Statistics
Stacks
14.5K
Stacks
241
Followers
9.4K
Followers
373
Votes
678
Votes
0
Pros & Cons
Pros
  • 185
    High-availability
  • 148
    Simple
  • 103
    Backed by amazon
  • 76
    Fast
  • 54
    Auhtoritive dns servers are spread over different tlds
Cons
  • 2
    Geo-based routing only works with AWS zones
  • 2
    SLOW
  • 1
    Restrictive rate limit
No community feedback yet
Integrations
No integrations available
Microsoft Azure
Microsoft Azure

What are some alternatives to Amazon Route 53, Azure Machine Learning?

DNSimple

DNSimple

DNSimple provides the tools you need to manage your domains. We offer both a carefully crafted web interface for managing your domains and DNS records, as well as an HTTP API with various code libraries and tools. Buy, connect, operate!

Google Cloud DNS

Google Cloud DNS

Use Google's infrastructure for production quality, high volume DNS serving. Your users will have reliable, low-latency access to Google's infrastructure from anywhere in the world using our network of Anycast name servers.

Dyn

Dyn

An all-in-one Managed DNS service for your registered domain names. Dyn DNS is the perfect solution for your domain name’s DNS needs, whether it is for personal or business use. It gives you complete control over your DNS zone and its associated DNS records, complete with a simple DNS management web interface.

DNS Made Easy

DNS Made Easy

DNS Made Easy is a subsidiary of Tiggee LLC, and is a world leader in providing global IP Anycast enterprise DNS services. DNS Made Easy is currently ranked the fastest provider for 8 consecutive months and the most reliable provider.

NanoNets

NanoNets

Build a custom machine learning model without expertise or large amount of data. Just go to nanonets, upload images, wait for few minutes and integrate nanonets API to your application.

Inferrd

Inferrd

It is the easiest way to deploy Machine Learning models. Start deploying Tensorflow, Scikit, Keras and spaCy straight from your notebook with just one extra line.

NS1

NS1

NS1’s intelligent DNS & traffic management platform, with its data driven architecture and unique Filter Chain routing engine, is purpose-built for the most demanding, mission-critical applications on the Internet.

CoreDNS

CoreDNS

CoreDNS is a DNS server. It is written in Go. It can be used in a multitude of environments because of its flexibility

nextdns

nextdns

Cloud-based private DNS service that gives you full control over what is allowed and what is blocked on the Internet. Think of it as a combination of Cloudflare DNS and Pi-hole®.

GraphLab Create

GraphLab Create

Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful.

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