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Amazon Kinesis Firehose VS Microsoft Power BI

Compare Amazon Kinesis Firehose VS Microsoft Power BI 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.

Microsoft Power BI logo Microsoft Power BI

BI visualization and reporting for desktop, web or mobile
  • Amazon Kinesis Firehose Landing page
    Landing page //
    2023-04-12
  • Microsoft Power BI Landing page
    Landing page //
    2023-06-14

Amazon Kinesis Firehose videos

Introduction to Amazon Kinesis Firehose

More videos:

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

Microsoft Power BI videos

No Microsoft Power BI 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 Microsoft Power BI)
Data Dashboard
4 4%
96% 96
Data Management
100 100%
0% 0
Data Visualization
0 0%
100% 100
Data Warehousing
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Amazon Kinesis Firehose and Microsoft Power BI

Amazon Kinesis Firehose Reviews

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Microsoft Power BI Reviews

Embedded analytics in B2B SaaS: A comparison
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our criteria (based on the evaluation matrix).
Source: medium.com
Best 8 Redash Alternatives in 2023 [In Depth Guide]
Users can also sign up for Power BI and Power BI Desktop for free to receive data, insights, and visual analytics. However, the premium versions offer more advanced features like AI, data management, and greater capacity and users.
Source: www.datapad.io
8 Alternatives to Apache Superset That’ll Empower Start-ups and Small Businesses with BI
PowerBI is one of the leading BI solutions in the market. It’s a highly scalable BI tool owned by the Microsoft team. It can be cloud-hosted or downloaded on-premise. It’s self-service and fosters enterprise-level answers to ad hoc queries. Trevor.io, Metabase and Looker can also work as Power BI alternatives.
Source: trevor.io
Top 10 Data Analysis Tools in 2022
Power BI Power BI is owned by Microsoft and, as such, has excellent compatibility with Microsoft Excel, which is a highly popular tool for data analysis. Power BI Premium costs $27.5 per month for each user. Power BI is a powerful tool produced by Microsoft and has proven itself as a powerful data analysis tool. However, its best features are seen within the Microsoft...
Best Google Data Studio Alternatives (Self-Service BI)
For personal use, Power BI can be downloaded on your local machine for free. However, if you want to use more Power BI services, you will need to pay $9.99/user/month for a cloud solution or $4,995/month for a dedicated server (cloud compute and storage resource)

Social recommendations and mentions

Based on our record, Microsoft Power BI should be more popular than Amazon Kinesis Firehose. It has been mentiond 17 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 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 / over 1 year 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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Microsoft Power BI mentions (17)

  • Unified Analytics Platform: Microsoft Fabric
    Microsoft Fabric is currently in preview and provides data integration, engineering, data warehousing, data science, real-time analytics, applied observability, and business intelligence under a single architecture by integrating services such as Azure Data Factory, Azure Synapse Analytics, Data Activator, and Power BI. In addition, it comes with a SaaS, multi-cloud data lake called "OneLake" that is built-in and... Source: 12 months ago
  • NSS Data Analytics Program Question
    I'd suggest spending some time learning the material before you invest thousands in tuition only to find that you don't like it or aren't good at it. Download Tableau Public or Power BI and force yourself to use them for a few months. That's how I taught myself R. Source: about 1 year ago
  • Why Is Data Analytics Important?
    Discover why business analytics is crucial for your business and how to utilise data analytics and PowerBI to make informed and data-backed decisions! Source: about 1 year ago
  • Cloud dB reporting tool?
    Power BI is popular... But for table reports with Excel/PDF export you can use Pebble Reports. Source: about 1 year ago
  • Asking for guidance on migrating to a database from Excel
    Yes, MySQL can do the job. You can use Airforms to do data entry. No need to learn MySQL syntax. You will also need a reporting tool, such as Power BI. Source: over 1 year ago
View more

What are some alternatives?

When comparing Amazon Kinesis Firehose and Microsoft Power BI, 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.

Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.

Alteryx - Alteryx provides an indispensable and easy-to-use analytics platform for enterprise companies making critical decisions that drive their business strategy and growth.

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.

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

Qlik - Qlik offers an Active Intelligence platform, delivering end-to-end, real-time data integration and analytics cloud solutions to close the gaps between data, insights, and action.