Amazon Kinesis Firehose vs Twister2

Overview

Amazon Kinesis Firehose

Stacks239

Followers185

Votes0

Twister2

Stacks0

Followers1

Votes0

GitHub Stars11

Forks1

Amazon Kinesis Firehose vs Twister2: What are the differences?

Developers describe Amazon Kinesis Firehose as "Simple and Scalable Data Ingestion". Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today. On the other hand, Twister2 is detailed as "Flexible, High performance data processing". It is a high-performance data processing framework with capabilities to handle streaming and batch data. It can leverage high-performance clusters as well we cloud services to efficiently process data.

Amazon Kinesis Firehose and Twister2 can be primarily classified as "Real-time Data Processing" tools.

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Detailed Comparison

Amazon Kinesis Firehose	Twister2
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS. It can capture and automatically load streaming data into Amazon S3 and Amazon Redshift, enabling near real-time analytics with existing business intelligence tools and dashboards you’re already using today.	It is a high-performance data processing framework with capabilities to handle streaming and batch data. It can leverage high-performance clusters as well we cloud services to efficiently process data.
Easy-to-Use;Integrated with AWS Data Stores;Automatic Elasticity;Near Real-time	Batch data processing; Streaming data processing
Statistics
GitHub Stars -	GitHub Stars 11
GitHub Forks -	GitHub Forks 1
Stacks 239	Stacks 0
Followers 185	Followers 1
Votes 0	Votes 0
Integrations
Amazon S3 Amazon Redshift	Python Apache Beam

What are some alternatives to Amazon Kinesis Firehose, Twister2?

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.

Amazon Kinesis

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.