Power BI vs SQueaLy

Overview

Power BI

Stacks991

Followers946

Votes29

SQueaLy

Stacks0

Followers7

Votes0

GitHub Stars584

Forks47

Power BI vs SQueaLy: What are the differences?

Power BI: A business analytics service. 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; SQueaLy: Fast track analytics for business. SQueaLy is an open-source, self-deployable application for developers. It is a micro service for business intelligence and analytics which uses SQL queries to generate reporting APIs with fine-grained security.

Power BI and SQueaLy belong to "Business Intelligence" category of the tech stack.

SQueaLy is an open source tool with 567 GitHub stars and 45 GitHub forks. Here's a link to SQueaLy's open source repository on GitHub.

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CLI (Node.js)

Manual

Advice on Power BI, SQueaLy

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.

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Comments

Detailed Comparison

Power BI	SQueaLy
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.	SQueaLy is an open-source, self-deployable application for developers. It is a micro service for business intelligence and analytics which uses SQL queries to generate reporting APIs with fine-grained security.
Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data	-
Statistics
GitHub Stars -	GitHub Stars 584
GitHub Forks -	GitHub Forks 47
Stacks 991	Stacks 0
Followers 946	Followers 7
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	Heroku Amazon Athena Amazon Redshift MySQL PostgreSQL SQLite Swagger UI

What are some alternatives to Power BI, SQueaLy?

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

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

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

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 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

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

Related Comparisons

SQueaLy is an open source tool with 567 GitHub stars and 45 GitHub forks. Here's a link to SQueaLy's open source repository on GitHub.

Power BI vs SQueaLy