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Amazon Kinesis
Amazon Kinesis

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Amazon Kinesis vs AWS Step Functions: What are the differences?

Developers describe Amazon Kinesis as "Store and process terabytes of data each hour from hundreds of thousands of sources". 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. On the other hand, AWS Step Functions is detailed as "Build Distributed Applications Using Visual Workflows". AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.

Amazon Kinesis can be classified as a tool in the "Real-time Data Processing" category, while AWS Step Functions is grouped under "Cloud Task Management".

Instacart, Lyft, and Zillow are some of the popular companies that use Amazon Kinesis, whereas AWS Step Functions is used by Clever, Froothaus, and MessageMedia. Amazon Kinesis has a broader approval, being mentioned in 130 company stacks & 24 developers stacks; compared to AWS Step Functions, which is listed in 19 company stacks and 7 developer stacks.

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What is 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.

What is AWS Step Functions?

AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.
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            What are some alternatives to Amazon Kinesis and AWS Step Functions?
            Kafka
            Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
            Apache Spark
            Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
            Amazon SQS
            Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.
            Firehose.io
            Firehose is both a Rack application and JavaScript library that makes building real-time web applications possible.
            Amazon Kinesis Firehose
            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.
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            Decisions about Amazon Kinesis and AWS Step Functions
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            How developers use Amazon Kinesis and AWS Step Functions
            Avatar of Luca Bianchi
            Luca Bianchi uses Amazon KinesisAmazon Kinesis

            Fast data stream maanagement hiding complexity

            Avatar of KASA FIK s.r.o.
            KASA FIK s.r.o. uses Amazon KinesisAmazon Kinesis

            Event streaming

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