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  5. Insights vs Power BI

Insights vs Power BI

OverviewDecisionsComparisonAlternatives

Overview

Power BI
Power BI
Stacks993
Followers946
Votes29
Insights
Insights
Stacks5
Followers13
Votes0
GitHub Stars1.1K
Forks74

Insights vs Power BI: What are the differences?

Introduction

Insights and Power BI are both powerful data visualization tools used for analyzing and presenting data. However, there are key differences between the two.

  1. Data Sources: Insights primarily connects with a wide range of databases, including popular ones like MySQL, PostgreSQL, Oracle, and more. On the other hand, Power BI supports connectivity to various data sources, including cloud services like Azure, SharePoint, and on-premises data sources like SQL Server, Excel, and CSV files.

  2. Data Preparation: Insights provides a streamlined and simplified approach to data preparation, allowing users to transform and clean data with an intuitive interface. In Power BI, users can perform data preparation tasks using Power Query, a powerful data transformation tool that offers a more robust and flexible approach to data preparation.

  3. Visualization Capabilities: Power BI offers a vast array of visualization options, including various charts, graphs, maps, and custom visualizations created by the Power BI community. Insights, on the other hand, provides a more limited set of visualization options, focusing more on automatic insights and narrative storytelling.

  4. Collaboration and Sharing: Power BI offers extensive collaboration and sharing capabilities, allowing users to collaborate on reports and dashboards, share them with others, and publish them to the Power BI service for broader access. Insights, on the other hand, primarily focuses on generating insights and reports for individual users, with limited collaboration and sharing capabilities.

  5. Natural Language Query: Power BI integrates natural language capabilities, allowing users to ask questions in plain English and the tool will generate relevant visualizations based on the query. Insights, on the other hand, does not have robust natural language query capabilities.

  6. Advanced Analytics: Power BI offers advanced analytics features like predictive analytics, clustering, and anomaly detection through integration with Azure Machine Learning. Insights does not have built-in advanced analytics capabilities.

In Summary, Insights and Power BI differ in terms of supported data sources, data preparation options, visualization capabilities, collaboration features, natural language query capabilities, and advanced analytics integration.

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Advice on Power BI, Insights

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

Power BI
Power BI
Insights
Insights

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.

Insights is a self-hosted "SQL-not-required" data analytics and business intelligence tool. Featuring linkable URLs, easy data exploration, automatic joins, graphs, exports, facets (pivots), pretty colors and a ridiculously permissive license (MIT).

Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data
-
Statistics
GitHub Stars
-
GitHub Stars
1.1K
GitHub Forks
-
GitHub Forks
74
Stacks
993
Stacks
5
Followers
946
Followers
13
Votes
29
Votes
0
Pros & Cons
Pros
  • 18
    Cross-filtering
  • 4
    Database visualisation
  • 2
    Powerful Calculation Engine
  • 2
    Intuitive and complete internal ETL
  • 2
    Access from anywhere
No community feedback yet
Integrations
Microsoft Excel
Microsoft Excel
Rails
Rails
Ruby
Ruby
SQLite
SQLite

What are some alternatives to Power BI, Insights?

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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