Amazon Kinesis vs Amazon Kinesis Firehose

Amazon Kinesis
Amazon Kinesis

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Amazon Kinesis Firehose
Amazon Kinesis Firehose

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Amazon Kinesis vs Amazon Kinesis Firehose: What are the differences?

What is Amazon Kinesis? 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.

What is Amazon Kinesis Firehose? 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.

Amazon Kinesis and Amazon Kinesis Firehose belong to "Real-time Data Processing" category of the tech stack.

Some of the features offered by Amazon Kinesis are:

  • 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the current state of your data, from inventory levels to stock trade frequencies, rather than having to wait for an out-of-date report.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.

On the other hand, Amazon Kinesis Firehose provides the following key features:

  • Easy-to-Use
  • Integrated with AWS Data Stores
  • Automatic Elasticity

According to the StackShare community, Amazon Kinesis has a broader approval, being mentioned in 130 company stacks & 24 developers stacks; compared to Amazon Kinesis Firehose, which is listed in 32 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 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.

Want advice about which of these to choose?Ask the StackShare community!

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          What companies use Amazon Kinesis?
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          What are some alternatives to Amazon Kinesis and Amazon Kinesis Firehose?
          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.
          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.
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          What tools integrate with Amazon Kinesis?
          What tools integrate with Amazon Kinesis Firehose?
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            How developers use Amazon Kinesis and Amazon Kinesis Firehose
            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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            How much does Amazon Kinesis Firehose cost?
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