Comparison Between Business Intelligence (BI) Tools
BI Tools Power BI Superset Metabase Grafana Tableau Microstrategy
Particulars
Meaning Power BI is a business analytics service provided by Microsoft that can analyze and visualize data, extract insights, and share it across various departments within your organization Apache Superset is a modern, open-source data exploration & visualization platform designed to support all data personas in an organization Metabase is an open-source business intelligence (BI) tool that allows users to create and share interactive data visualizations and dashboards easily. Grafana is an open source analytics and interactive visualisation web application that runs on multiple platforms. Its mainly used as Monitory visualization tool Tableau is a powerful Business Intelligence tool that manages the data flow and turns data into actionable information MicroStrategy is a data analytics platform that delivers actionable intelligence to organizations of all sizes. It allows users to customize data visualizations and build personalized real-time
Products Power BI Desktop, Power Bi Service, Power BI Mobile Apps, Power BI Gateway, Power BI Embeded and Power BI Report Server Open Source , Install it in Docker or Ubuntu, Linux , Host it on webserver Open Source , Starter, Pro, Enterprise , Embeded Open Source, Grafana Cloud , Grafana Enterprise Tableau Desktop, Tableau Server, Tableau Online, Tableau Vizable, Tableau Public, Tableau Mobile and Tableau Reader. Microstrategy Web, Microstrategy Developer, Microstrategy Intelligence Server, Microstrategy Library, Microstrategy Mobile, Microstrategy Workstation, Microstrategy Mobile
Cost "Cost Effective
Power BI Desktop Free
Power BI Pro – Starts at $14 per month
Power Bi Premium :
– Per User: $24/user/month
Power BI Embeded - Variable
Fabric Capacity - Variable starts at $5000
https://powerbi.microsoft.com/en-us/pricing/" No Cost for Superset. Cost of setting of server to host Superset so that it can be shared in the organization "Open Source Comunity edition Free
Starter -- $85/month plus $5/month per user
First 5 users included
Pro -- $500/month first 10 user included plus $10/ month per user
Enterprise -- Variable Starts at 15000$/ month" "Cost effective
Open source - Free
Cloud Pro - $29 per month
Advanced Cloud - Custom pricing
Enterprise - Custom pricing
https://grafana.com/pricing/" "Costly
Tableau Public Free
Tableau Creator – $70 per user/month
Tableau Explorer $35 user/month
Tableau Viewer is priced at $12/month
https://www.tableau.com/pricing/teams-orgs" "Costly
Microstrategy Worstation Free
Microstrategy Architect 5000$/User
Web and Mobile are priced at $600 per named user or $300,000 per CPU core, while Server is $1,200 per named user or $600,000 per CPU core.
CPU core license can support 500 to 1,000 users."
Data Handling & Performance Power BI is easy to use. It is faster and performs better when the volume of data is limited. Power BI tends to drag slowly while handling bulk data. To process large datasets we can it sends queries to your database, and your database performs the heavy lifting of data processing Scalable and high-performance data handling through Apache Druid Metabase's approach to data handling and performance is rooted in its architecture as a visualization layer that sits on top of your existing data infrastructure. Metabase does not store or process large datasets itself; instead, it sends queries to your database, and your database performs the heavy lifting of data processing Scalable and high-performance data handling through Grafana's built-in caching Tableau can handle large volumes of data quickly. It is faster and provides extensive features for visualizing the data. Tableau doesn't limit the number of data points in visualization or enforce row or size limitations, giving you a 360-degree view of your data. Advanced data handling and performance features, such as intelligent cubes and in-memory analytics
User Interface The user interface of Power BI is intuitive, and it can easily be integrated with other Microsoft products. Power BI interface is easy to learn and understand. It is user friendly and allows you to operate better. Power BI Desktop provides three views that you can select on the left side of the canvas - the report view, the data view, and the model view. User-friendly and intuitive interface with customizable dashboards Metabase is renowned for its clean, intuitive, and user-friendly interface, designed to make data analysis accessible to a wide audience, including those without a technical background. Its UI is centered around the concept of self-service analytics, empowering users to find answers to their own questions User-friendly and intuitive interface with customizable dashboards Tableau has an intelligent interface that enables you to create and customize the dashboards according to your requirements. It has an inviting workspace area that encourages you to experiment with data and get smart results. The workspace area has different cards and shelves, toolbar, sidebar, data source page, status bar, and sheet tabs Advanced and complex interface with a steeper learning curve
Data Visualization Power BI provides an easy to use drag and drop functionality. It provides features that make data visually appealing. Power BI offers a wide range of detailed and attractive visualizations to create reports and dashboards. Using Power BI service, you can ask questions about your data, and it will give you meaningful insights. Apache Superset is a powerful means to achieve intuitive visualizations of gigantic datasets. Superset enables users to explore data and build visualizations using a no-code visualization builder and SQL editor. Metabase provides a range of visualization options, including various charts, tables, and maps, all driven by a simple point-and-click interface. Interactive features like dashboard filters and drill-through functionality allow users to explore data dynamically and in-depth. Visualizations can be refined and customized through simple settings to ensure clear and effective data presentation Grafana is multi-platform, open-source analytics and interactive visualization web application. Grafana has primarily been used for monitoring and logging dashboards, related to infrastructure and applications also known as Observability dashboards. Tableau also allows its users to customize dashboards specifically for a device. It delivers interactive visuals that support insights on the fly. It can translate queries to visualizations and makes you ask questions, spot trends, and identify opportunities. You don't require any prior knowledge to work on Tableau since it provides in-built table calculations to build reports and dashboards. Deploy data visualizations through branded, interactive user experiences, with customizable, user-friendly dossiers and dashboards, data discovery and personalized reports. Quickly build meaningful dashboards through prebuilt grids, graphs, charts and map templates combined with advanced user controls and third-party integrations.
Deployment "Power BI has both on-premises and cloud versions, it is limited to Azure in the cloud. This limits the level of flexibility that Power BI can offer
– On Cloud
– On-premise
– Windows" On-premise or cloud-based deployment options Metabase deployment offers both self-hosted and cloud-hosted options, with production deployments requiring an external database for application data persistence. For enterprise-grade scalability and high availability, it can be deployed using containerization technologies like Docker and Kubernetes On-premise or cloud-based deployment options "Tableau comes first when considering deployment flexibility as it has more cloud-based and on-premises options. When huge data is stored in the cloud, Tableau works well.
– On Cloud
– On-premise
– On Linux
– On Mac
– On Windows" On-premise or cloud-based deployment options
Data Sources "Import from various Data sources like Relational databases, Cloud based, Flat files, Big Data, NoSQL, Web Services & Other
Some of the examples are Microsoft Excel, Text/CSV, Folders, MS SQL Server, Access DB, Oracle Database, IBM DB2, MySQL database, PostgreSQL database, Databricks etc.
Various data sources in detail:- https://learn.microsoft.com/en-us/power-bi/connect-data/desktop-data-sources" Superset can query data from any SQL-speaking datastore or data engine (Presto, Trino, Athena,PostgresSQL, MYSql, SQL, Hive, Teradata and more) that has a Python DB-API driver and a SQLAlchemy dialect. "Metabase can connect to a wide array of data sources, primarily databases and data warehouses, to perform querying and visualization. It also provides built-in options for uploading smaller, file-based data sources like CSVs and Google Sheets for ad-hoc analysis.
Some Examples are Relational databases PostgreSQL, MySQL, MariaDB, Microsoft SQL Server
Oracle, SQLite , Cloud data warehouses and analytics engines ,Amazon Redshift
Amazon Athena, Google BigQuery, Snowflake, Databricks, ClickHouse, Starburst
Presto, SparkSQL , NoSQL and real-time databases, MongoDB, Druid " "Monitoring apps, Google Sheets,JSON, Kubernetes, Azure Monitor, AWS X-Ray, Redis, Databases MongoDB, InfluxDB, Oracle, MySQL, Postgres, GitHub, Snowflake, Jira
" "Tableau can Import from various Data sources like Relational databases, Cloud based, Flat files, Big Data, NoSQL, Web Services & Other
Examples - Excel, Text File, PDF, JSON, statistical file, Amazon Redshift, Cloudera Hadoop, Google Analytics, dropbox, google sheets, google drive and others.
https://help.tableau.com/current/pro/desktop/en-us/basicconnectoverview.htm" "MicroStrategy provides support for a large number of data sources like Relational databases, Cloud based, Flat files, Big Data, NoSQL, Web Services & Other
Example :- BI tools, Big Data, Cloud Data, and various RDBMS systems such as Oracle, MySQL, Snowflake and SQL Server and various other data sources.
"
ETL , Data Preparation & Tranformation "Power Query feature in Power BI helps to Import data from various data sources and broad range of transformations ranging from simple ones like column elimination, row filtering, first row as a table header, or advanced ones like merge, append, group by, pivot, unpivot and lot more transformation features.
DAX - Helps in Data modeling and writing formulas to derive insigths on the fly for visualizations
For Reference : - https://blog.skyvia.com/etl-in-power-bi/" "SQL Lab is a powerful SQL IDE inside Superset. It works with any database that has a SQLAlchemy Python connector. It is great for data exploration. It can query any data sources in the Superset, including the metadata database.
It is a solid playground from which we can slice and dice the dataset in many ways to arrive at a form that needs to be visualized to solve the analytical question that the chart was created to answer." "Metabase is a BI tool, not an ETL tool
Metabase is designed for visualization and self-service analytics, not for data extraction or loading.
It connects to and queries data that already exists in a database or data warehouse. The raw data must be delivered and prepared by an external ETL/ELT process
Metabase offers internal data preparation features
Models: Data engineers and analysts can create ""Models"" from SQL or the query builder. These are curated, derived datasets that provide a clean starting point for others.
Native SQL: For advanced transformations, experienced users can write custom SQL directly in Metabase. These queries can be saved as questions for reuse.
Visual query builder: Less technical users can perform basic transformations like filtering, joining, and summarizing data using Metabase's graphical interface, without writing any code.
Metadata enrichment: Within Metabase, you can enhance metadata for tables and models by adding descriptions, defining field types, and improving formatting to make the data more user-friendly." Need to use third party ETL tools for Data transformation "Tableau Prep a separate application is the new ETL tool that allows users to extract data from a variety of sources, transform that data and output it, saving time and reducing the challenges of some tasks, such as joins, unions and aggregations. It can be integrated with other Tableau products.
For Reference:- https://www.xpand-it.com/blog/welcome-tableau-prep/" "As compared to Power BI and Tableau there are less features of data transformation options in Microstrateg.
Wrangle and parse data in a process that automatically recommends, profiles and transforms data without needing to export it to a spreadsheet. Save data transformations for repeatable data preparation workflows."
Usability Small, medium, and large enterprises Small, medium, and large enterprises Small, medium, and large enterprises Small, medium, and large enterprises Medium & Large enterprises Medium & Large enterprises
Security "Row-level security and role restriction.
Privacy Levels in Power Query
Row Level Security (RLS) in Power BI
Office 365 Sensitivity Labels
Power BI Workspace Security" Security in Superset is handled by Flask AppBuilder (FAB), an application development framework built on top of Flask. FAB provides authentication, user management, permissions and roles Provides basic security features such as user authentication and access control Offers row-level security and set up filters. MicroStrategy offers comprehensive security features such as LDAP integration, data masking, and dynamic security filters.
Learning Curve "Power BI can be utilized by both experts and beginners. " Relatively low learning curve, with a simple and intuitive interface that can be mastered quickly by most users Relatively low learning curve, with a simple and intuitive interface that can be mastered quickly by most users Tableau is best suited for seasoned data analysts. MicroStrategy has a steeper learning curve due to its advanced features and more complex interface, and may require more training and expertise to use effectively.
Underlying Language Power BI uses DAX (Data Analysis Expression) for calculated columns and measures. It affects speed and reporting capabilities. M language for Power Query for Data Transformation Uses Python as its underlying language for data processing and visualization Uses JavaScript as its underlying language for data processing and visualization Tableau employs MDX (Multidimensional Expressions). for dimensions and measures. Uses a proprietary data modeling language called MicroStrategy Object Model (MOM)
Supported Language R language-based and Python visualizations are supported. Python can be used to create custom visualization in superset The Go programming language integration enables the Grafana Agent to send metrics to Grafana Cloud. The integration also creates a useful default dashboard for visualization of golang metrics within Grafana Cloud Fully integrated support for R and Python is provided. Tableau Software Development Kit can be implemented using any of the four programming languages - C, C++, Java, and Python. By connecting to these programming languages, you can build even more powerful visualizations. MicroStrategy supports the integration and deployment of analytics from the R statistical environment. Python can be used with microstrategy
Embed With the Embed option in Power BI for its reports, you can easily and securely embed reports in internal web portals Superset can be embeded in applications and web page Grafana Dashboard can be embeded into web page adn applications Embedding report is a real-time challenge in Tableau Allows embedding of reports and dashboards into other applications
Licensing "Power BI has stringent licensing and SaaS infrastructure.
Free license, a Pro license, or a Premium per-user license" Open source and free to use Open source as well as Paid Licesnes "Open source and free to use - Free version.
Enterprise and Grafana Cloud Pro and Advanced are licensed" "Tableau has flexible licensing and n-tier client server architecture
Four types of role-based term licenses are available: Display, Viewer, Explorer, and Creator" MicroStrategy uses two main categories of licenses: Named User Licenses, in which the number of users with access to specific functionality are restricted. CPU Licenses, in which the number and speed of the CPUs used by MicroStrategy server products are restricted
Machine Learning Power BI enjoys the advantages of Microsoft business analytics that includes platforms such as Azure Machine learning, SQL Server based Analysis Services, data streaming in real-time, and many Azure databases offers. It helps to understand the data and analyze the trends and patterns in the data. Apache Superset plays many important roles in machine learning model development. Firstly, it enables the visualization of large datasets that conventional libraries like Pandas and Numpy could not do. This is a significant benefit as machine learning engineers (ML engineers) find data exploration an integral part of the Machine learning model lifecycle (ML model lifecycle or ML lifecycle). Offers machine learning capabilities through plugins and extensions Tableau has built-in machine learning capabilities which makes it suitable for doing ML operations on datasets. MicroStrategy offers AI and machine learning capabilities through its integration with popular platforms such as TensorFlow, Hadoop, and Spark, among others.
Community Support "Microsoft Power BI has good community support
https://community.powerbi.com/" "Superset has good comunity support
https://superset.apache.org/community/" "Grafana has good comunity support
https://community.grafana.com/" "Tableau has over 160,000 active users participating in over 500 global user groups and over 150,000 active customers participating in the Tableau online community.
https://www.community.tableau.com/s/" "Microstrategy has good comunity support
https://community.microstrategy.com/s/?language=en_US"
Ease Of Use Power BI has an edge because of its ease of use since it is based on a user interface that has its roots in Microsoft Office 365, which most end-users are already familiar with Tableau provides some essential advantages for exploring and visualizing data in detail. Tableau is also incorporating natural language capabilities into its software. This helps in finding solutions to complex problems by understanding the data better. Requires specialized training and technical knowledge for more advanced features and customization
Integration Easily integrates with all Microsoft services and Products Easily Integrates with Salesforce
Self Service BI Power BI is designed to be a self-service BI tool that allows users to create their own reports and dashboards with minimal IT support. Tableau allow users to carry out analyses on their own and to evaluate the relevant data flexibly, User can create their own reports and dashboard. MicroStrategy is more of an enterprise BI solution that is often implemented and maintained by IT teams
Sharing "Direct Share of Dashboards and Reports, Power BI Premium, Share PBIX desktop file, App Workspace, Embed, Apps, Publish to Web, Export to PowerPoint or Print, Export to Excel or CSV, B2B for Guest Users, On-Premises Report Server, Mobile app
" Superset if hosted on a server then by creating users reports can be shared, if standalone then by PDF or image. "Grafana enables you to share dashboards and panels with other users within an organization and in certain situations, publicly on the Web. You can share using:
A direct link ,A Snapshot, An embedded link (for panels only), An export link (for dashboards only)" "Sharing via Tableau Server/Public, Tableau Server/Tableau Online,Tableau Mobile, Tableau Desktop, Tableau Reader, Tableau Public
Sharing an image Dashboard Link, PDF, PPT, Crosstab (Excel or CSV Files)" "Share Dossiers, Reports via Microstrategy Library from microstrategy web.
Mobile app, Sharing as PDF, CSV, Excel, HTML"
Customers "Some top companies like Coca Cola, Bayer, Nokia, Air Astana, EY, PWC, Swiggy, Westinghouse, Novant Health, Souther New Hampshire University, Chevron, Vodafone.
https://powerbi.microsoft.com/en-us/customer-showcase/
https://customers.microsoft.com/en-us/search?sq=power%20bi&ff=story_product_categories%26%3EPower%20BI&p=2&so=story_publish_date%20desc" Some top companies like Airbnb, Hepsiburada, Corca's Tech Stack, Peak-AI, U.S. Bank, Veeva Systems, H3O Labs, Tesla, GSC Logistics, Blackfriarsgroup "Some top companies like Wells fargo, JP Morgan Chase, Cisco, Citi bank, Siemens, NOC telco, Dell
https://grafana.com/success/" "Some top companies like Verizon, Lenovo, Honeywell, Lufthansa, Providence St Joseph Health, Pemco Insurance, Red Hat, Nissan, Henkel.
https://www.tableau.com/why-tableau/our-customers" "Some top companies like Sainbury, NICE, FBI, Lawerence National Laboratory, Schwarz group, Sumitomo, Mass Mutual
https://www.microstrategy.com/en/solutions/customer-stories"
Formulas on the Fly calculation Dax Measures
https://embeddable.com/blog/metabase-vs-power-bi
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