Amazon Kinesis聽vs聽Amazon Kinesis Firehose

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Amazon Kinesis

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the current state of your data, from inventory levels to stock trade frequencies, rather than having to wait for an out-of-date report.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

Decisions about Amazon Kinesis and Amazon Kinesis Firehose
Ryan Wans

Because we're getting continuous data from a variety of mediums and sources, we need a way to ingest data, process it, analyze it, and store it in a robust manner. AWS' tools provide just that. They make it easy to set up a data ingestion pipeline for handling gigabytes of data per second. GraphQL makes it easy for the front end to just query an API and get results in an efficient fashion, getting only the data we need. SwaggerHub makes it easy to make standardized OpenAPI's with consistent and predictable behavior.

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Roel van den Brand
Lead Developer at Di-Vision Consultion | 3 upvotes 路 8K views

Use case for ingressing a lot of data and post-process the data and forward it to multiple endpoints.

Kinesis can ingress a lot of data easier without have to manage scaling in DynamoDB (ondemand would be too expensive) We looked at DynamoDB Streams to hook up with Lambda, but Kinesis provides the same, and a backup incoming data to S3 with Firehose instead of using the TTL in DynamoDB.

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Pros of Amazon Kinesis
Pros of Amazon Kinesis Firehose
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    Cons of Amazon Kinesis
    Cons of Amazon Kinesis Firehose
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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鈥檙e already using today.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Amazon Kinesis?
      What companies use Amazon Kinesis Firehose?
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      What tools integrate with Amazon Kinesis?
      What tools integrate with Amazon Kinesis Firehose?

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      Blog Posts

      Jul 2 2019 at 9:34PM

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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.
      Firehose.io
      Firehose is both a Rack application and JavaScript library that makes building real-time web applications possible.
      Apache Storm
      Apache Storm is a free and open source distributed realtime computation system. Storm makes it easy to reliably process unbounded streams of data, doing for realtime processing what Hadoop did for batch processing. Storm has many use cases: realtime analytics, online machine learning, continuous computation, distributed RPC, ETL, and more. Storm is fast: a benchmark clocked it at over a million tuples processed per second per node. It is scalable, fault-tolerant, guarantees your data will be processed, and is easy to set up and operate.
      See all alternatives
      How developers use Amazon Kinesis and Amazon Kinesis Firehose
      Luca Bianchi uses
      Amazon Kinesis

      Fast data stream maanagement hiding complexity

      KASA FIK s.r.o. uses
      Amazon Kinesis

      Event streaming