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  5. Power BI Embedded vs Redash

Power BI Embedded vs Redash

OverviewComparisonAlternatives

Overview

Redash
Redash
Stacks338
Followers502
Votes12
Power BI Embedded
Power BI Embedded
Stacks65
Followers147
Votes0

Power BI Embedded vs Redash: What are the differences?

# Key Differences Between Power BI Embedded and Redash

Power BI Embedded and Redash are two popular business intelligence tools with distinct differences that organizations must consider when choosing the right solution. Below are the key differences between Power BI Embedded and Redash:

1. **Integration**:
   Power BI Embedded offers seamless integration with existing Microsoft products such as Azure, Office 365, and Dynamics 365, making it a preferred choice for organizations within the Microsoft ecosystem. On the other hand, Redash allows for integration with various data sources, including databases, cloud services, and REST APIs.
   
2. **Customization**:
   Power BI Embedded provides extensive customization options, allowing developers to tailor reports and dashboards to meet specific business requirements. In contrast, while Redash offers customization to a certain extent, the level of customization is not as comprehensive as that of Power BI Embedded.
   
3. **Pricing Model**:
   Power BI Embedded follows a usage-based pricing model, where organizations pay based on the number of report renders and data refreshes. Redash, on the other hand, typically follows a flat-rate pricing model, making it a more predictable cost option for organizations.
   
4. **Data Visualization**:
   Power BI Embedded is known for its robust data visualization capabilities, offering a wide range of charts, graphs, and interactive features to analyze data effectively. Redash also provides visualization options but may not offer the same level of sophistication and variety as Power BI Embedded.
   
5. **User Interface**:
   Power BI Embedded offers a user-friendly interface with intuitive navigation and design elements, making it easier for users to create and share reports. Redash, while user-friendly, may require more technical expertise to navigate and utilize some of its features efficiently.
   
6. **Scalability**:
   Power BI Embedded is highly scalable and can handle large volumes of data and users without compromising performance. Redash, while scalable to a certain extent, may face challenges when dealing with significant data loads or a large number of concurrent users.

In Summary, when selecting between Power BI Embedded and Redash, organizations should consider factors such as integration capabilities, customization options, pricing models, data visualization features, user interface, and scalability to choose the best fit for their business intelligence needs.

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Detailed Comparison

Redash
Redash
Power BI Embedded
Power BI Embedded

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.

Quickly and easily provide customer-facing reports, dashboards, and analytics in your own applications by using and branding it as your own. Reduce developer resources by automating the monitoring, management, and deployment of analytics, while getting full control of Power BI features and intelligent analytics.

Query Editor;Dashboards/Visualizations;Alerts;API;Support for querying multiple databases
API;SDK;Reports;Dashboards
Statistics
Stacks
338
Stacks
65
Followers
502
Followers
147
Votes
12
Votes
0
Pros & Cons
Pros
  • 9
    Open Source
  • 3
    SQL Friendly
Cons
  • 1
    All results are loaded into RAM before displaying
  • 1
    Memory Leaks
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
Cassandra
Cassandra
MongoDB
MongoDB
Amazon DynamoDB
Amazon DynamoDB
Amazon RDS
Amazon RDS
Amazon Athena
Amazon Athena
Jira
Jira
PagerDuty
PagerDuty
Prometheus
Prometheus
Slack
Slack
JavaScript
JavaScript
Microsoft SharePoint
Microsoft SharePoint

What are some alternatives to Redash, Power BI Embedded?

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.

Power BI

Power BI

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.

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.

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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