Power BI vs SplashBI

Overview

Power BI

Stacks991

Followers946

Votes29

SplashBI

Stacks1

Followers6

Votes0

Power BI vs SplashBI: What are the differences?

Introduction

Power BI and SplashBI are two popular business intelligence tools that help organizations analyze and visualize data to make more informed decisions. While both tools serve the same purpose, there are several key differences between Power BI and SplashBI that set them apart.

Integration with Data Sources: Power BI offers seamless integration with several data sources, including Microsoft Excel, SQL Server, SharePoint, and more. It also provides a wide range of native connectors for popular cloud services such as Azure, Dynamics 365, and Salesforce. On the other hand, SplashBI supports integration with a variety of databases, including Oracle, SQL Server, and MySQL, but may lack the same breadth of native connectors for cloud services.
Data Transformation and ETL Capabilities: Power BI provides robust data transformation and ETL (Extract, Transform, Load) capabilities through its Power Query feature. Users can easily clean, shape, and transform data from multiple sources before visualizing it. SplashBI also offers data transformation capabilities but with a more limited range of features compared to Power BI, making it less suitable for complex data transformation tasks.
Data Visualization Options: Power BI offers a rich set of visualization options, including charts, tables, matrices, maps, and more, which can be customized in various ways. It also supports the creation of interactive reports and dashboards with drill-through capabilities. SplashBI, on the other hand, provides a decent set of visualization options but may have relatively fewer customization capabilities compared to Power BI.
Collaboration and Sharing Features: With Power BI, users can collaborate on reports and dashboards, share them with others, and control access permissions. It provides seamless integration with Office 365, making it easy to collaborate and share content within the organization. SplashBI also offers collaboration and sharing features, but its capabilities may not be as extensive as Power BI, especially in terms of integration with other collaboration tools.
Advanced Analytics and AI Capabilities: Power BI offers advanced analytics features, such as predictive modeling, natural language processing, and machine learning integration through its Power BI Premium and Power BI Pro licenses. These capabilities allow users to gain deeper insights and perform advanced analysis on their data. SplashBI may have limited advanced analytics and AI capabilities compared to Power BI, depending on the specific version and licensing.
Pricing and Licensing Models: Power BI has a tiered pricing model, including a free version for individual users and several paid licenses for different levels of functionality and collaboration. It offers both cloud-based and on-premises deployment options. SplashBI also offers various pricing options, but its licensing model may differ from Power BI. Organizations need to evaluate their specific requirements and compare pricing models to determine the most cost-effective choice.

In summary, Power BI and SplashBI are both powerful business intelligence tools with unique features and capabilities. Power BI excels in its integration options, data transformation capabilities, visualization options, collaboration features, advanced analytics, and flexible licensing. On the other hand, SplashBI offers decent integration, data transformation, and visualization capabilities, but may lack the same level of extensiveness and flexibility as Power BI in certain areas. Organizations should carefully consider their specific needs and evaluate these differences to choose the tool that best aligns with their requirements.

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Advice on Power BI, SplashBI

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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Detailed Comparison

Power BI	SplashBI
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.	It empowers organizations to understand the full story behind their data through our business analytics platform. We help organizations in making data-driven decisions by providing them with the necessary actionable intelligence – Anywhere or Anytime.
Get self-service analytics at enterprise scale; Use smart tools for strong results; Help protect your analytics data	Data Integration – Combine Data with Ease; Redefine ad hoc reporting – Generate powerful reports; Data Visualizations and dashboards; Get Actionable Intelligence Anytime, anywhere; Pre-built dashboards & reporting to get started quickly; It is offered on both on-cloud and on-premise
Statistics
Stacks 991	Stacks 1
Followers 946	Followers 6
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

What are some alternatives to Power BI, SplashBI?

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

Power BI vs SplashBI: What are the differences?

Introduction

Integration with Data Sources: Power BI offers seamless integration with several data sources, including Microsoft Excel, SQL Server, SharePoint, and more. It also provides a wide range of native connectors for popular cloud services such as Azure, Dynamics 365, and Salesforce. On the other hand, SplashBI supports integration with a variety of databases, including Oracle, SQL Server, and MySQL, but may lack the same breadth of native connectors for cloud services.
Data Transformation and ETL Capabilities: Power BI provides robust data transformation and ETL (Extract, Transform, Load) capabilities through its Power Query feature. Users can easily clean, shape, and transform data from multiple sources before visualizing it. SplashBI also offers data transformation capabilities but with a more limited range of features compared to Power BI, making it less suitable for complex data transformation tasks.
Data Visualization Options: Power BI offers a rich set of visualization options, including charts, tables, matrices, maps, and more, which can be customized in various ways. It also supports the creation of interactive reports and dashboards with drill-through capabilities. SplashBI, on the other hand, provides a decent set of visualization options but may have relatively fewer customization capabilities compared to Power BI.
Collaboration and Sharing Features: With Power BI, users can collaborate on reports and dashboards, share them with others, and control access permissions. It provides seamless integration with Office 365, making it easy to collaborate and share content within the organization. SplashBI also offers collaboration and sharing features, but its capabilities may not be as extensive as Power BI, especially in terms of integration with other collaboration tools.
Advanced Analytics and AI Capabilities: Power BI offers advanced analytics features, such as predictive modeling, natural language processing, and machine learning integration through its Power BI Premium and Power BI Pro licenses. These capabilities allow users to gain deeper insights and perform advanced analysis on their data. SplashBI may have limited advanced analytics and AI capabilities compared to Power BI, depending on the specific version and licensing.
Pricing and Licensing Models: Power BI has a tiered pricing model, including a free version for individual users and several paid licenses for different levels of functionality and collaboration. It offers both cloud-based and on-premises deployment options. SplashBI also offers various pricing options, but its licensing model may differ from Power BI. Organizations need to evaluate their specific requirements and compare pricing models to determine the most cost-effective choice.

Power BI vs SplashBI

Overview