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  1. Stackups
  2. Application & Data
  3. Infrastructure as a Service
  4. Dns Management
  5. DNS Made Easy vs Kaggle

DNS Made Easy vs Kaggle

OverviewComparisonAlternatives

Overview

DNS Made Easy
DNS Made Easy
Stacks2.6K
Followers66
Votes20
Kaggle
Kaggle
Stacks11
Followers8
Votes0

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Detailed Comparison

DNS Made Easy
DNS Made Easy
Kaggle
Kaggle

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.

Machine learners share, stress test, and stay up-to-date on all the latest ML techniques and technologies. Discover a huge repository of community-published models, data & code for your next project.

100% Uptime Guaranteed;Fastest DNS Speeds;DNS Failover;GeoDNS;Load Balancing;Instant DNS Updates;
Find all the resources and knowledge needed for your next real-world ML project; High-quality public datasets. Everything from avocado prices to video game sales; Public notebooks and access to a powerful notebook environment with no cost GPUs & TPUs; Pre-trained, ready-to-deploy ML models; Build your ML skills in a supportive and helpful community
Statistics
Stacks
2.6K
Stacks
11
Followers
66
Followers
8
Votes
20
Votes
0
Pros & Cons
Pros
  • 10
    Speed
  • 5
    Anycast
  • 2
    Low Cost
  • 2
    Mature
  • 1
    Extremely Easy Interface
No community feedback yet
Integrations
No integrations available
Jupyter
Jupyter
Python
Python

What are some alternatives to DNS Made Easy, Kaggle?

Amazon Route 53

Amazon Route 53

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.

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.

Pandas

Pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.

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.

NumPy

NumPy

Besides its obvious scientific uses, NumPy can also be used as an efficient multi-dimensional container of generic data. Arbitrary data-types can be defined. This allows NumPy to seamlessly and speedily integrate with a wide variety of databases.

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.

PyXLL

PyXLL

Integrate Python into Microsoft Excel. Use Excel as your user-facing front-end with calculations, business logic and data access powered by Python. Works with all 3rd party and open source Python packages. No need to write any VBA!

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