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JSON Generator VS Amazon Kinesis Firehose

Compare JSON Generator VS Amazon Kinesis Firehose and see what are their differences

JSON Generator logo JSON Generator

Create mock and sample JSON using a powerful template syntax

Amazon Kinesis Firehose logo Amazon Kinesis Firehose

Amazon Kinesis Firehose can capture, transform, and load streaming data into AWS.
  • JSON Generator Landing page
    Landing page //
    2022-04-10
  • Amazon Kinesis Firehose Landing page
    Landing page //
    2023-04-12

JSON Generator videos

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Amazon Kinesis Firehose videos

Introduction to Amazon Kinesis Firehose

More videos:

  • Review - Stream Data Analytics with Amazon Kinesis Firehose and Redshift

Category Popularity

0-100% (relative to JSON Generator and Amazon Kinesis Firehose)
Productivity
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Data Dashboard
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100% 100
Web App
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Data Management
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100% 100

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Social recommendations and mentions

Based on our record, JSON Generator should be more popular than Amazon Kinesis Firehose. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

JSON Generator mentions (9)

  • How to code faster - VS Code edition
    JSON Generator: also generates mock data, but for JSON specifically. It's a bit more complex, but it allows for tailor-made results. - Source: dev.to / 7 months ago
  • Show HN: Generate JSON mock data for testing/initial app development
    Is there a generator for all the JSON generators out there? https://json-generator.com/. - Source: Hacker News / 8 months ago
  • Object-oriented JSON in Go
    So I generated a random JSON file and tried parsing it. It doesn’t error, but whenever I do a println(root.Object().Value().String()), I get a panic: wrong type. If I do a println(root.Object().Present()), it prints false. So seems like it would be better if you returned an error for this happening at the .Parse() call. But either way, not sure what’s happening. The JSON is indeed valid, as it was generated from... Source: about 1 year ago
  • How to Create a Table with Inline CRUD with Angular 14+
    Next, we’ll seed some demo data into the table. To generate some demo data, you can checkout JSON Generator. Once you’ve opened the window, replace the code in the left tab with the following code and hit generate. - Source: dev.to / over 1 year ago
  • How to Mock a Live Stream Chat
    Hey, I would try to do it using pre-comps for each message, getting the data like username, text, emoji… the from a json. This way you could generate the json manually with something like this to setup the blank json (just one way of doing that) or with some other kind of script. Then change the expression generated by mamoworldjson to link it to the comps name. The only thing i’m not sure is how to insert the... Source: over 1 year ago
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Amazon Kinesis Firehose mentions (6)

  • What is an event-driven architecture and why storing events is important ?
    First, you may not know the Kinesis Data Firehose service. Here's the AWS definition: Amazon Kinesis Data Firehose is an Extract, Transform, and Load (ETL) service that captures, transforms, and reliably delivers streaming data to data lakes, data stores, and analytics services. (https://aws.amazon.com/kinesis/data-firehose/). - Source: dev.to / over 1 year ago
  • Serverless Event Driven AI as a Service
    As you can see in the diagram, we are feeding all events from Event Bus via a catch-all rule into Kinesis Data Firehose. Firehose is a fully managed service that streams into specific destinations like Data Warehouses or Data Lakes. Unlike it's bigger brother of using Kinesis Data Streams directly, there are no setting up of shards and it's mostly configuration free. We are only defining a buffer interval which is... - Source: dev.to / over 1 year ago
  • Logging EventBridge events to S3 with Firehose
    When using EventBridge I always log all events to an S3 bucket for auditing, analytics and debugging purposes. A super easy method to do this is to create a Kinesis Data Firehose stream and create a rule that captures all events that points to the Firehose stream. The Firehose stream can then flush the events on S3 in an interval/size of choice based on configuration. - Source: dev.to / almost 2 years ago
  • S3 Isn't Getting Cheaper
    Have you looked at Kinesis Firehose? It was pretty much build for this use case although you will still need to see if you can define a partitioning scheme probably in combination with an S3 Select query to meet your query requirements. https://aws.amazon.com/kinesis/data-firehose/?nc=sn&loc=0. - Source: Hacker News / almost 2 years ago
  • Advice on S3 Application
    Is continuous backup important ? e.g. If the stuff fails for one day and you lose that day's upload is that ok? Do you want it to push updates more frequently than once a day? If you want to continuously push updates then Kinesis Firehose might be worth looking into. Source: over 2 years ago
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What are some alternatives?

When comparing JSON Generator and Amazon Kinesis Firehose, you can also consider the following products

Dummi - The smart way to generate random data for your projects.

Analytics Canvas - Analytics Canvas is a data management platform with a specific focus on Google data tools, enabling self-serve data preparation and automation for those working with Analytics, Ads, Search Console, Sheets, BigQuery, Data Studio and more.

Dadroit JSON Viewer - Open a 1GB JSON file in a blink 💣

Data Scientist Workbench - A web-based notebook that enables interactive data analytics.

Jayson - Powerful JSON viewer for iPhone and iPad

Talend Data Preparation - Talend Data Preparation combines intuitive self-service data preparation and data curation tools with data integration to accelerate data usage across the organization.