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Amazon Kinesis Firehose

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Stream

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Amazon Kinesis Firehose vs Stream: What are the differences?

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.

What is Stream? Build scalable feeds, activity streams & chat in a few hours instead of months. Stream allows you to build scalable feeds, activity streams, and chat. Stream’s simple, yet powerful API’s and SDKs are used by some of the largest and most popular applications for feeds and chat. SDKs available for most popular languages.

Amazon Kinesis Firehose and Stream are primarily classified as "Real-time Data Processing" and "Activity Feeds as a Service" tools respectively.

Some of the features offered by Amazon Kinesis Firehose are:

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

On the other hand, Stream provides the following key features:

  • Activity, Notification & Personalized Feeds
  • Real-Time Chat
  • Multi-Region Support

Hooroo, Survata, and Drivy are some of the popular companies that use Amazon Kinesis Firehose, whereas Stream is used by StackShare, Techstars, and Product Hunt. Amazon Kinesis Firehose has a broader approval, being mentioned in 32 company stacks & 7 developers stacks; compared to Stream, which is listed in 26 company stacks and 10 developer stacks.

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Pros of Amazon Kinesis Firehose
Pros of Stream
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      Integrates via easy-to-use REST API
    • 18
      Up and running in few minutes
    • 18
      It's easy to setup with the minimum coding

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    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.

    What is Stream?

    Stream allows you to build scalable feeds, activity streams, and chat. Stream’s simple, yet powerful API’s and SDKs are used by some of the largest and most popular applications for feeds and chat. SDKs available for most popular languages.

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

    What companies use Amazon Kinesis Firehose?
    What companies use Stream?
    See which teams inside your own company are using Amazon Kinesis Firehose or Stream.
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    What tools integrate with Amazon Kinesis Firehose?
    What tools integrate with Stream?

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    What are some alternatives to Amazon Kinesis Firehose and Stream?
    Kafka
    Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
    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.
    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.
    See all alternatives
    Reviews of Amazon Kinesis Firehose and Stream
    Review of
    Stream

    Got an email from stackshare talking about Stream and decided to give it a try. A little context on why I was interested. My company wanted to implement news feed on our MEAN stack site but our lead dev decided that mongoDB does not handle all the follower/following/followers of follower relationships that well and we would have to move to another backend stack Spring/Neo4J to handle the relationships well. Anyway one thing came up after another and we never had time to migrate to the new backend. I was really glad there was a feed API out there that can take the complexity away and easy to implement.

    This bring us back to stream. First experience I got to say from the tutorial everything seems easy to implement and just a few lines of code I was able to create activity/feed and follow someone. After the tutorial I thought it was going to take couple hours tops to implement this so I created a new branch of our site and started to do so. To my surprise I was hit with a lot of confusions because the documentations stream has is really confusing because the doc is mixing backend and frontend in a really weird way so I might have thought I could do something on the frontend but it was giving me permission denied error and hitting walls everywhere until I finally gave up.

    UTEL Universidad
    Review of
    Stream

    I've been using Stream as a core element of my app and it's practically fantastic. From the beginning in the Stream page they give you the tools to start creating with interactive examples of the things you can create coding by yourself step by step your first example in many languages. The API is incredibly simple to use but very powerful and every call is fast so no matter if you have thousands of users (like in my case) the final app feel nice, fast and fluid. I definitively will never stop using Stream because it saves me a lot of time in coding the solution and in the future I'll be able to save more time to worry about my business instead of worrying about maintenance. I widely recommend Stream, with this tool I can stay contacted with my clients at any time with a nice card-based feed.

    Founder/CTO at Kloudio
    Review of
    Stream

    If you are looking for a feed like functionality. Look no further or don't reinvent the wheel. Use Stream, its very easy to integrate into any stack. We were trying to build a feed in our app and it was going nowhere. And found Stream and it was like a magic, we had feeds in our app within couple of days!

    Review of
    Stream

    Stream is an amazing product, which is easy to use. It took us less than a day to build a prototype and use it for activity.

    We stream all our data and show it for the customers.

    Smooth integration with .Net, fast response time, lots of features!

    Review of
    Stream

    This is a great service. Allows you to get something that really works and integrates well with reasonable effort. Docs are well put together and support is responsive.

    How developers use Amazon Kinesis Firehose and Stream
    Coolfront Technologies uses
    Stream

    Used by Coolfront Mobile's "feed" implementation.