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  1. Stackups
  2. Application & Data
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  4. Application Streaming
  5. Amazon AppStream vs rdkafka

Amazon AppStream vs rdkafka

OverviewComparisonAlternatives

Overview

Amazon AppStream
Amazon AppStream
Stacks56
Followers64
Votes7
rdkafka
rdkafka
Stacks34
Followers14
Votes0

Amazon AppStream vs rdkafka: What are the differences?

Amazon AppStream: Stream resource intensive applications and games from the cloud. AppStream deploys and renders your application on AWS infrastructure and streams the output to mass-market devices, such as personal computers, tablets, and mobile phones. Because your application is running in the cloud, it can scale to handle vast computational and storage needs, regardless of the devices your customers are using. You can choose to stream either all or parts of your application from the cloud. Amazon AppStream enables use cases for games and applications that wouldn’t be possible running natively on mass-market devices. Using Amazon AppStream, your games and applications are no longer constrained by the hardware in your customer’s hands; rdkafka: Modern and performant Kafka client library for Ruby. This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.

Amazon AppStream and rdkafka can be categorized as "Application Streaming" tools.

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Detailed Comparison

Amazon AppStream
Amazon AppStream
rdkafka
rdkafka

AppStream deploys and renders your application on AWS infrastructure and streams the output to mass-market devices, such as personal computers, tablets, and mobile phones. Because your application is running in the cloud, it can scale to handle vast computational and storage needs, regardless of the devices your customers are using. You can choose to stream either all or parts of your application from the cloud. Amazon AppStream enables use cases for games and applications that wouldn’t be possible running natively on mass-market devices. Using Amazon AppStream, your games and applications are no longer constrained by the hardware in your customer’s hands.

This gem is a modern Kafka client library for Ruby based on librdkafka. It wraps the production-ready C client using the ffi gem and targets Kafka 1.0+ and Ruby 2.3+.

Amazon AppStream includes a SDK that currently supports streaming applications from Microsoft Windows Server 2008 R2 to devices running FireOS, Android, iOS, and Microsoft Windows.  A Mac OS X SDK is planned for 2014.;Remove Device Constraints- You can leverage the compute power of AWS to deliver experiences that wouldn’t normally be possible due to the GPU, CPU, memory or physical storage constraints of local devices.;Multi Platform Support- You can write your application once and stream it to multiple device platforms. To support a new device, just write a small client to connect to your application.;Easy Updates- Because your application is centrally managed by Amazon AppStream, updating your application is as simple as providing a new version of your application to Amazon AppStream. That's all you need to do to immediately upgrade all of your customers without any action on their part.;Instant On- Streaming your application with AppStream lets your customers start using your application or game immediately, without the delays associated with large file downloads and time-consuming installations.;Improved Security- Unlike traditional boxed software and digital downloads, where your application is available for theft or reverse engineering, Amazon AppStream stores your application binary securely in AWS datacenters.;Automatic Scaling- You can use Amazon AppStream to specify capacity needs, and then the service automatically scales your streamed application and connects customers’ devices to it.
Open source
Statistics
Stacks
56
Stacks
34
Followers
64
Followers
14
Votes
7
Votes
0
Pros & Cons
Pros
  • 5
    Customization
  • 2
    Pricing
No community feedback yet
Integrations
No integrations available
Ruby
Ruby
Kafka
Kafka

What are some alternatives to Amazon AppStream, rdkafka?

Kafka Manager

Kafka Manager

This interface makes it easier to identify topics which are unevenly distributed across the cluster or have partition leaders unevenly distributed across the cluster. It supports management of multiple clusters, preferred replica election, replica re-assignment, and topic creation. It is also great for getting a quick bird’s eye view of the cluster.

Kafka REST

Kafka REST

It provides a RESTful interface to a Kafka cluster. It makes it easy to produce and consume messages, view the state of the cluster, and perform administrative actions without using the native Kafka protocol or clients. Examples of use cases include reporting data to Kafka from any frontend app built in any language, ingesting messages into a stream processing framework that doesn't yet support Kafka, and scripting administrative actions.

Wine

Wine

It is a free and open-source compatibility layer that aims to allow computer programs developed for Microsoft Windows to run on Unix-like operating systems. Wine also provides a software library, known as Winelib, against which developers can compile Windows applications to help port them to Unix-like systems.

Kafka UI

Kafka UI

It is a simple tool that makes your data flows observable, helps find and troubleshoot issues faster and deliver optimal performance. Its lightweight dashboard makes it easy to track key metrics of your Kafka clusters - Brokers, Topics, Partitions, Production, and Consumption.

Kafdrop

Kafdrop

It is a web UI for viewing Kafka topics and browsing consumer groups. The tool displays information such as brokers, topics, partitions, consumers, and lets you view messages.

Kowl

Kowl

It is a web application that helps you to explore messages in your Apache Kafka cluster and get better insights on what is actually happening in your Kafka cluster in the most comfortable way.

KafkaHQ

KafkaHQ

It is a Kafka GUI for topics, topics data, consumers group, schema registry, connect and more. It works with modern Kafka cluster.

Lenses

Lenses

It is a simple and secure self service DataOps platform, to operate with confidence on Apache Kafka & Kubernetes.

KafkaCenter

KafkaCenter

It is a unified one-stop platform for Kafka cluster management and maintenance, producer / consumer monitoring, and use of ecological components.

DoctorKafka

DoctorKafka

DoctorKafka can automatically detect broker failure and reassign the workload on the failed nodes to other nodes. DoctorKafka can also perform load balancing based on topic partitions's network usage, and makes sure that broker network usage does not exceed the defined settings.

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