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  5. AWS Data Pipeline vs Amazon Kinesis vs Dyn

AWS Data Pipeline vs Amazon Kinesis vs Dyn

OverviewComparisonAlternatives

Overview

Dyn
Dyn
Stacks1.7K
Followers109
Votes24
AWS Data Pipeline
AWS Data Pipeline
Stacks94
Followers398
Votes1
Amazon Kinesis
Amazon Kinesis
Stacks797
Followers604
Votes9

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Detailed Comparison

Dyn
Dyn
AWS Data Pipeline
AWS Data Pipeline
Amazon Kinesis
Amazon Kinesis

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.

AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.

Amazon Kinesis can collect and process hundreds of gigabytes of data per second from hundreds of thousands of sources, allowing you to easily write applications that process information in real-time, from sources such as web site click-streams, marketing and financial information, manufacturing instrumentation and social media, and operational logs and metering data.

Resource Records- 75 records;Domains/Zones- 1 Zone (yourdomain.com);DNS Queries per Month- 600,000;Record Types- A, AAAA, CNAME, MX, TXT, SRV, NS, LOC, PTR;Access, Security, and Reporting- Single username and password for entire account. No reports for usage or status available.;API- Dynamic DNS Update API;Customer Service Access- Email & Phone Support Monday-Friday 9am-5pm U.S. Eastern
You can find (and use) a variety of popular AWS Data Pipeline tasks in the AWS Management Console’s template section.;Hourly analysis of Amazon S3‐based log data;Daily replication of AmazonDynamoDB data to Amazon S3;Periodic replication of on-premise JDBC database tables into RDS
Real-time Processing- Amazon Kinesis enables you to collect and analyze information in real-time, allowing you to answer questions about the current state of your data, from inventory levels to stock trade frequencies, rather than having to wait for an out-of-date report;Easy to use- You can create a new stream, set the throughput requirements, and start streaming data quickly and easily. Amazon Kinesis automatically provisions and manages the storage required to reliably and durably collect your data stream;High throughput. Elastic.- Amazon Kinesis seamlessly scales to match the data throughput rate and volume of your data, from megabytes to terabytes per hour. Amazon Kinesis will scale up or down based on your needs;Integrate with Amazon S3, Amazon Redshift, and Amazon DynamoDB- With Amazon Kinesis, you can reliably collect, process, and transform all of your data in real-time before delivering it to data stores of your choice, where it can be used by existing or new applications. Connectors enable integration with Amazon S3, Amazon Redshift, and Amazon DynamoDB;Build Kinesis Applications- Amazon Kinesis provides developers with client libraries that enable the design and operation of real-time data processing applications. Just add the Amazon Kinesis Client Library to your Java application and it will be notified when new data is available for processing;Low Cost- Amazon Kinesis is cost-efficient for workloads of any scale. You can pay as you go, and you’ll only pay for the resources you use. You can get started by provisioning low throughput streams, and only pay a low hourly rate for the throughput you need
Statistics
Stacks
1.7K
Stacks
94
Stacks
797
Followers
109
Followers
398
Followers
604
Votes
24
Votes
1
Votes
9
Pros & Cons
Pros
  • 6
    API
  • 5
    Web interface
  • 5
    Managed DNS
  • 4
    Security
  • 3
    Customer Service Access
Pros
  • 1
    Easy to create DAG and execute it
Pros
  • 9
    Scalable
Cons
  • 3
    Cost

What are some alternatives to Dyn, AWS Data Pipeline, Amazon Kinesis?

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.

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.

Google Cloud Dataflow

Google Cloud Dataflow

Google Cloud Dataflow is a unified programming model and a managed service for developing and executing a wide range of data processing patterns including ETL, batch computation, and continuous computation. Cloud Dataflow frees you from operational tasks like resource management and performance optimization.

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®.

Oneprofile

Oneprofile

Oneprofile syncs customer profiles and events across all the tools a company uses. Instead of each system having its own version of a customer, Oneprofile keeps everything in sync automatically — CRMs, analytics, support, marketing. When customer data changes anywhere, it’s reflected everywhere, instantly. No manual pipelines, no broken integrations — just the right data in the right place.

AWS Snowball Edge

AWS Snowball Edge

AWS Snowball Edge is a 100TB data transfer device with on-board storage and compute capabilities. You can use Snowball Edge to move large amounts of data into and out of AWS, as a temporary storage tier for large local datasets, or to support local workloads in remote or offline locations.

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