Software Alternatives, Accelerators & Startups

Amazon Kinesis Firehose VS DataPreparator

Compare Amazon Kinesis Firehose VS DataPreparator and see what are their differences

Amazon Kinesis Firehose logo Amazon Kinesis Firehose

Amazon Kinesis Firehose can capture, transform, and load streaming data into AWS.

DataPreparator logo DataPreparator

DataPreparator is a free software tool designed to assist with tasks of data preparation in data analysis and data mining. 
  • Amazon Kinesis Firehose Landing page
    Landing page //
    2023-04-12
  • DataPreparator Landing page
    Landing page //
    2023-03-17

Amazon Kinesis Firehose features and specs

  • Managed Service
    Amazon Kinesis Firehose is a fully managed service, which means it eliminates the operational overhead of managing and scaling infrastructure.
  • Real-time Processing
    It provides real-time data streaming capabilities, allowing for near-instantaneous processing and analysis of incoming data.
  • Seamless Integration
    Firehose integrates seamlessly with other AWS services like S3, Redshift, and Elasticsearch, making it easy to store and analyze data.
  • Automatic Scaling
    The service automatically scales to match the throughput of your data streams, ensuring consistent performance without manual intervention.
  • Data Transformation
    It provides built-in data transformation capabilities using AWS Lambda, allowing you to transform or enrich data before delivery.

Possible disadvantages of Amazon Kinesis Firehose

  • Cost
    While convenient, using Firehose can become expensive, especially with larger volumes of data or complex transformations.
  • Latency
    There might be slight latency involved in the data delivery process, which could be a concern for applications requiring ultra-low latency.
  • Dependency on AWS Ecosystem
    Firehose is tightly integrated with the AWS ecosystem, which could be a limitation if your architecture involves services outside of AWS.
  • Limited Customization
    As a managed service, users have limited control over the underlying infrastructure, which might be restrictive for those needing highly customized solutions.
  • Learning Curve
    New users might face a learning curve when getting started, especially if unfamiliar with AWS and its specific terminologies and best practices.

DataPreparator features and specs

No features have been listed yet.

Amazon Kinesis Firehose videos

Introduction to Amazon Kinesis Firehose

More videos:

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

DataPreparator videos

No DataPreparator videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Amazon Kinesis Firehose and DataPreparator)
Data Dashboard
66 66%
34% 34
Data Management
62 62%
38% 38
Data Warehousing
61 61%
39% 39
ETL
67 67%
33% 33

User comments

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Social recommendations and mentions

Based on our record, Amazon Kinesis Firehose seems to be more popular. It has been mentiond 6 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.

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 / about 2 years 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 2 years 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 3 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 3 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 3 years ago
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DataPreparator mentions (0)

We have not tracked any mentions of DataPreparator yet. Tracking of DataPreparator recommendations started around Mar 2021.

What are some alternatives?

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

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.

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.

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

Lavastorm Analytics - Lavastorm is the agile data management and analytics solution.

Wealthport - Wealthport provides solutions to automatically clean, integrate and segment the data using artificial intelligence.

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.