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  5. Blazer vs Power BI

Blazer vs Power BI

OverviewDecisionsComparisonAlternatives

Overview

Blazer
Blazer
Stacks23
Followers24
Votes0
GitHub Stars4.7K
Forks486
Power BI
Power BI
Stacks991
Followers946
Votes29

Blazer vs Power BI: What are the differences?

# Introduction

Power BI and Blazer are both popular tools used for data visualization, but they have key differences that set them apart in terms of functionality and capabilities.

1. **Development Environment**: Blazer is designed to work primarily with the .NET framework, allowing developers to build interactive web applications using C# and Razor syntax. On the other hand, Power BI is a cloud-based business analytics service that caters to a broader audience by providing user-friendly drag-and-drop tools for data visualization.

2. **Data Source Connectivity**: Power BI offers a wide range of data source connectors, including Microsoft products like Excel, SQL Server, and Dynamics 365, as well as third-party sources such as Salesforce and Google Analytics. Blazer, on the other hand, requires custom coding to connect to external data sources, making it more suitable for developers with advanced programming skills.

3. **Scalability**: Power BI is well-suited for handling large volumes of data and can handle complex analytics tasks with ease. In contrast, Blazer may struggle with scalability, especially when dealing with extensive datasets or high concurrency scenarios, due to its reliance on server-side processing.

4. **Cost**: Blazer is an open-source project that is free to use, making it an attractive option for small businesses and individual developers with limited budgets. Power BI, on the other hand, follows a subscription-based pricing model, which may be more costly for organizations that require multiple user licenses or advanced features.

5. **Customization and Extensibility**: Blazer provides more flexibility for customization and extensibility through its support for JavaScript libraries and frameworks, allowing developers to create highly tailored solutions. Power BI, while offering some customization options, is more focused on providing out-of-the-box visualizations and functionality that cater to a broader audience.

6. **Real-time Data Processing**: Power BI offers real-time data streaming capabilities, allowing users to visualize and analyze live data as it comes in. Blazer, on the other hand, lacks native support for real-time data processing, requiring developers to implement custom solutions to achieve similar functionality.

In Summary, Power BI excels in user-friendly data visualization and broad data connectivity, while Blazer offers more customization for developers but may lack scalability and advanced features compared to Power BI. 

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Advice on Blazer, Power BI

Vojtech
Vojtech

Head of Data at Mews

Nov 24, 2019

Decided

Power BI is really easy to start with. If you have just several Excel sheets or CSV files, or you build your first automated pipeline, it is actually quite intuitive to build your first reports.

And as we have kept growing, all the additional features and tools were just there within the Azure platform and/or Office 365.

Since we started building Mews, we have already passed several milestones in becoming start up, later also a scale up company and now getting ready to grow even further, and during all these phases Power BI was just the right tool for us.

353k views353k
Comments

Detailed Comparison

Blazer
Blazer
Power BI
Power BI

Share data effortlessly with your team

It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

Secure - works with your authentication system;Variables - run the same queries with different values;Linked Columns - link to other pages in your apps or around the web;Smart Columns - get the data you want without all the joins;Smart Variables - no need to remember ids;Charts - visualize the data;Audits - all queries are tracked
Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
Statistics
GitHub Stars
4.7K
GitHub Stars
-
GitHub Forks
486
GitHub Forks
-
Stacks
23
Stacks
991
Followers
24
Followers
946
Votes
0
Votes
29
Pros & Cons
No community feedback yet
Pros
  • 18
    Cross-filtering
  • 4
    Database visualisation
  • 2
    Powerful Calculation Engine
  • 2
    Intuitive and complete internal ETL
  • 2
    Access from anywhere
Integrations
PostgreSQL
PostgreSQL
MySQL
MySQL
Microsoft Excel
Microsoft Excel

What are some alternatives to Blazer, Power BI?

Metabase

Metabase

It is an easy way to generate charts and dashboards, ask simple ad hoc queries without using SQL, and see detailed information about rows in your Database. You can set it up in under 5 minutes, and then give yourself and others a place to ask simple questions and understand the data your application is generating.

Superset

Superset

Superset's main goal is to make it easy to slice, dice and visualize data. It empowers users to perform analytics at the speed of thought.

Cube

Cube

Cube: the universal semantic layer that makes it easy to connect BI silos, embed analytics, and power your data apps and AI with context.

Mode

Mode

Created by analysts, for analysts, Mode is a SQL-based analytics tool that connects directly to your database. Mode is designed to alleviate the bottlenecks in today's analytical workflow and drive collaboration around data projects.

Google Datastudio

Google Datastudio

It lets you create reports and data visualizations. Data Sources are reusable components that connect a report to your data, such as Google Analytics, Google Sheets, Google AdWords and so forth. You can unlock the power of your data with interactive dashboards and engaging reports that inspire smarter business decisions.

AskNed

AskNed

AskNed is an analytics platform where enterprise users can get answers from their data by simply typing questions in plain English.

Shiny

Shiny

It is an open source R package that provides an elegant and powerful web framework for building web applications using R. It helps you turn your analyses into interactive web applications without requiring HTML, CSS, or JavaScript knowledge.

Redash

Redash

Redash helps you make sense of your data. Connect and query your data sources, build dashboards to visualize data and share them with your company.

Azure Synapse

Azure Synapse

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

Periscope

Periscope

Periscope is a data analysis tool that uses pre-emptive in-memory caching and statistical sampling to run data analyses really, really fast.

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