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

Amazon Kinesis

597
476
+ 1
10
Firehose.io

2
12
+ 1
7
Add tool

Amazon Kinesis vs Firehose.io: 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 Firehose.io? Build realtime Ruby web applications. Firehose is both a Rack application and JavaScript library that makes building real-time web applications possible.

Amazon Kinesis can be classified as a tool in the "Real-time Data Processing" category, while Firehose.io is grouped under "Realtime Backend / API".

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the current state of your data, from inventory levels to stock trade frequencies, rather than having to wait for an out-of-date report.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, Firehose.io provides the following key features:

  • Firehose embraces RESTful design prinicpals and consequently works great with any library that speaks HTTP
  • Integrates with Backbone.js and Ember.js
  • Hook it into an ORM, like ActiveRecord
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Amazon Kinesis
Pros of Firehose.io
  • 6
    Scalable
  • 4
    Cons
  • 2
    RESTful
  • 2
    Rails gem
  • 2
    Works with ActiveRecord
  • 1
    Clean way to build real-time web applications

Sign up to add or upvote prosMake informed product decisions

Cons of Amazon Kinesis
Cons of Firehose.io
  • 2
    Cost
    Be the first to leave a con

    Sign up to add or upvote consMake informed product decisions

    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 Firehose.io?

    Firehose is both a Rack application and JavaScript library that makes building real-time web applications possible.

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

    What companies use Amazon Kinesis?
    What companies use Firehose.io?
    See which teams inside your own company are using Amazon Kinesis or Firehose.io.
    Sign up for Private StackShareLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Amazon Kinesis?
    What tools integrate with Firehose.io?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    Blog Posts

    Jul 2 2019 at 9:34PM

    Segment

    +25
    10
    5532
    +47
    46
    68576
    +23
    12
    6319
    +44
    109
    49840
    What are some alternatives to Amazon Kinesis and Firehose.io?
    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.
    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.
    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 Firehose.io
    Luca Bianchi uses
    Amazon Kinesis

    Fast data stream maanagement hiding complexity

    KASA FIK s.r.o. uses
    Amazon Kinesis

    Event streaming