MySQL BI tools are designed to link MySQL databases to a BI application fast so that advanced analytics features can be accessed. Most recent MySQL analytics products are available to non-technical users thanks to a robust self-service approach. Managing data and creating reports is a crucial responsibility for corporate success, regardless of the size of the organization. Companies struggle to extract the maximum value from the massive amounts of data produced every day. This is where contemporary MySQL business intelligence solutions come in handy. Businesses that invest in these BI solutions can streamline the entire analysis process, from data integration to visualization and analysis, to get a clear and accurate picture of their performance, identify untapped improvement opportunities, and empower everyone in the organization to make decisions based on data.

In the present big data ecosystem, MySQL is one of the most well-known technologies. Anyone dealing with company data or general IT should at least aim for a basic acquaintance with MySQL, which is sometimes referred to as the most popular database and is currently enjoying widespread, effective use regardless of industry. Even those who are unfamiliar with relational systems can create quick, powerful, and secure data storage systems with MySQL. The programmatic syntax and interfaces of MySQL are also excellent entry points into the worlds of other popular query languages and structured data stores.

Best 5 MySQL BI tools:

  1. Holistics – Best for both data team and end-users to access data themselves.
  2. Looker – Best for an enterprise-level company
  3. Power BI – Best forrunning reports and surface insights based on a company’s data. 
  4. Sisense – Best for consolidating information from multiple sources.
  5. Tableau – Best for data analysis and business intelligences

1. Holistics – Best for both data team and end-users to access data themselves.

Pricing:

  • A 14-day free trial is available
  • Entry: $120/month
  • Standard: $300/month
  • Professional: $600/month
  • Enterprise: Contact Holistics Software for further pricing details.

Holistics is a self-service BI solution that allows data analysts and engineers to model and configure centralized metric definitions in MySQL and a variety of other SQL data warehouses. Then, non-technical users can study data and generate their own charts without requiring assistance from the technical team.

Holistics is most recognized for its self-service and modeling capabilities, which enable analysts and engineers to construct a single source of truth where business logic can be applied to data and the data is accurate, maintainable, and reusable.

Key Features:

  • Data Connectors
  • Data Discovery
  • Query Builder
  • Data Visualization
  • ETL
  • Key Performance In
  • Reporting
  • Self Service Data Preparation

Reason to buy:

  • Allow queries against the MySQL database
  • Automated report and dashboard scheduling
  • Advanced SQL Editor with drop-and-drag functionality
  • Git Version Control for monitoring each change

Reason to avoid:

  • Holistics is a relatively recent market tool.
  • Git integration and version control are not supported by Holistics.
  • Dashboards are not as engaging as those offered by rivals
  • Only drill-down, drill-through to another dashboard, and cross-filtering are supported by Holistics.

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2. Looker – Best for an enterprise-level company

Pricing:

  • Generally $300-$500/user/month, up to 10 people
  • $50/month/user after 10 user

Looker’s price is based on your company’s size, the number of users, and more.

Looker is a large data analytics and business intelligence tool that uses SQL to build strong data analytics. Looker helps organizations obtain value from their data and delivers a 360 perspective of their consumers.

Additionally, it lets marketing managers identify trends in customer behavior by enabling cross-channel attribution analysis; allows A/B testing of campaigns by analyzing how the business’ variations influence critical user behavior based on statistically significant results; and provides a holistic view of users’ experience– from every click to conversion. Looker lets organizations identify where new leads and customers are coming from and analyzes and optimizes conversion rates by channel, content, and audiences.

Key Features:

  • Data visualization
  • Reports & dashboards
  • Data security
  • Data modeling language
  • Embedded Analytics

Reason to buy:

  • Looker works with the data in your database.
  • Reporting automation
  • Looker integrates with GitHub.
  • Looker is purely browser-based.

Reason to avoid:

  • The technical team is required to construct dashboards.
  • Lack of flexibility
  • Limited advance chatting

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3. Power BI– Best forrunning reports and surface insights based on a company’s data. 

Pricing:

  • Power BI is available in three price editions, ranging from $9.99 to $4,995.
  • Power BI is also available for free. 
  • Power BI Pro costs $9.99 per month per user.
  • Power BI Premium costs $20.00 per user per month.
  • Power BI Premium costs $4,995.00 per user per month

Power BI is well-known in the business intelligence industry, especially among companies that use Microsoft products. It supports a huge number of data sources, so companies can put all their data in one place. Power BI is a set of tools for analyzing business data and sharing insights through visually appealing charts and graphs. Dashboards, which can be customized or come ready-made, combine important metrics into a single view and show real-time updates on every device.

PowerBI has an easy-to-use interface and great ways to display data, from simple dashboards that look at eCommerce metrics to highly detailed maps.

Key Features:

  • Content Creation
  • Data visualizations
  • Author reports
  • Visual Analytics
  • Activity Dashboard

Reason to buy:

  • Support a lot of different data sources
  • Powerful data visualization capabilities
  • Changes and updates that happen often

Reason to avoid:

  • Limited data delivery capability.
  • PowerBI has a difficult learning curve.
  • It’s expensive

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4. Sisense – Best for consolidating information from multiple sources.

Pricing:

Sisense has a different price for each client, so there is no fixed number that can be found online. Based on online forums, it looks like a self-hosted solution costs $10,000 per year, while a cloud-based solution starts at $21,000 (for 5 users) and can cost as much as $60,000 per year for 12 full users and unlimited viewers.

Sisense is a business analytics tool that helps you clean up your data, offers you with interactive visual analytics, and gives you insights. Sisense offers personalized dashboards crafted specifically for your sector of business. The system has the capability to collect data from a variety of sources, offer some degree of analysis to assist you in making crucial decisions, and lastly produce the visual analytics via dashboards that your reporting needs.

Key Features:

  • Personalized dashboards
  • Data Mash Up
  • Data unification
  • Integrates with web portals

Reason to buy:

  • The dashboards created by Sisense are attractive.
  • Support for the client
  • There are no limits to what may be done using JavaScript scripts on the web.
  • Having a lot of experience with huge datasets

Reason to avoid:

  • In comparison to the desktop version, the mobile system is less functional and optimized.
  • Managing permissions may be a hassle at times, as only the folder and dashboard owner has the ability to post changes.

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5. Tableau– Best for data analysis and business intelligence

Pricing:

  • Tableau Creator: $70 per user/month
  • Tableau Explorer: $42 per user/month
  • Tableau Viewer: $15 per user/month
  • A free trial is also available

Key Features:

  • Simple sharing
  • Mobile accessibility
  • Data Sources
  • Advanced Visualizations
  • Text editor
  • Revision history

Reason to buy:

  • Excellent visuals
  • Tableau’s accessible interface helps data analysts of all skill levels to easily produce attractive and relevant analyses and visualizations.

Reason to avoid:

  • Large datasets are too much for Tableau to manage.
  • Inadequacy in business intelligence
  • There are no basic data cleansing and preparation features in Tableau Desktop.

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References and links:

  • https://www.prepostseo.com/plagiarism-checker
  • https://www.looker.com/compare/business-intelligence-tools/
  • https://www.holistics.io/blog/top-mysql-bi-reporting-tools/
  • https://www.softwareadvice.com/bi/looker-profile/
  • https://softwareconnect.com/bi-tools/looker/
  • https://powerbi.microsoft.com/en-us/what-is-power-b
  • https://www.epcgroup.net/power-bi-cost/
  • https://www.getapp.com/business-intelligence-analytics-software/a/microsoft-power-bi/
  • https://www.tableau.com/products/new-features