5 Most Popular Business Intelligence (BI) Tools in 2021

Lewis Chou
Towards Data Science
10 min readOct 29, 2019

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As business intelligence(BI) tools play a more critical role in enterprises, the technology is poised for an oversized effect in the coming year. BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as chance. Therefore, it is common for IT departments and managers to search for the BI tool best suited for their needs.

In this article, I compared the top 5 BI tools of 2021 from three aspects that users most care about in the BI software, including overall ease-of-use, BI features, and the price. In the end, after comparison, you will see which software is best suited for the needs of you and your company.

Before start, let’s clarify some definitions of Business Intelligence Tools.

What is Business Intelligence?

Business Intelligence provides rapid data analysis techniques and methods for enterprises, including data collection, management, and analysis. It transforms the data into valuable information, helps enterprises make data-driven decisions, reduces the blindness of decision-making. So the management and operation of the enterprise can be more rational.

From Google

What are Business Intelligence Tools?

Business intelligence tool refers to the software with data visualization and analysis technology. Also, it has particular data connection and processing ability. Users can quickly produce various types of data reports, graphs, and charts through the visual interface. So different roles in the enterprise can query, analyze and explore data on different terminals such as PC, mobile terminal, large screens in a secure environment.

What are the Types of Business Intelligence Tools?

According to different functional models, Business intelligence tools can be divided into three categories: reporting BI, traditional BI, and self-service BI.

Reporting BI:

Reporting BI is mainly for IT departments. It is suitable for all kinds of fixed-format report design, which is usually used to present the business indicator system, and the supported data volume is not high.

Reporting BI mainly adopts the Excel-like design mode. Although this type of BI targets releasing IT’s hard work in building reporting systems, business people can also quickly learn to produce basic reports and dashboards within the established data range.

Traditional BI:

Traditional BI is also geared toward IT personnel but focuses on OLAP, AD Hoc analysis, and data visualization analysis. Cognos from IBM and BO from SAPTraditional BI typify traditional BI. Its advantages are high performance and stability when dealing with big data. But its disadvantages are also obvious — poor ability and flexibility of data analysis. According to Forrester’s report, the traditional BI cannot meet more than 83% of the data analysis needs of enterprises. It indicates that many enterprises have built BI systems that are almost ineffective. In addition, high cost, long implementation cycle, high risk, and high technical requirements for users are also not conducive to the promotion and popularization of traditional BI.

Self-service BI:

Self-service BI is also called agile BI. The advent of self-service BI solves the problem that traditional BI cannot meet the analytical needs of the business department.

Self-service BI is oriented to business personnel and pursues efficient cooperation between business departments and IT departments. Via an intuitive data analysis interface, business personnel can efficiently conduct self-service analysis based on business understanding, explore the value of data, and develop data-driven business.

I hope you have a more in-depth understanding of business intelligence tools from above. If so, let’s get down to business and start the review of bi tools.

Business Intelligence Tools Comparison Criteria

I’ve compiled some common features of BI tools in the Top 10 Key Features of BI Tools in 2020. Based on this, I select three aspects that users most care about in the BI software:

  • Overall ease-of-use: How well designed is the user interface? Is it intuitive? How hard is it to get started with the tool? Do they have the training, tooltips, or videos to help you learn what you’re doing?
  • BI Features: What pros and cons you should pay attention to?
  • Price: How much does it cost?

BI Tools List

1. Tableau

Category: Self-service BI tool

From Google

1.1 Overall ease-of-use

The tool’s intuitive manner of creating graphics and user-friendly interface enables lay users to utilize the basic app’s functionality to the fullest. When designing a dashboard, you need to create a worksheet and then drag it to the container. For first-time users, it takes time to get used to it.

However, in general, non-technical users can enjoy the stats parsing capabilities without in-depth training. For more profound knowledge to get into the solution’s capabilities, the Tableau community is an excellent place to go since Tableau’s fans invest their expertise and skills into the community, and they are willing to help settle any user issues and to share their experience.

1.2 BI Features: pros & cons

  • Pro: Support Multiple Data Sources

Relational database

NoSQL database

Multi-dimensional database

Big Data Platform

File data sources (Execl,csv, txt, Json, pdf, mdb, Tableau)

  • Pro: Stunning Data Visualization

Unparalleled capabilities of visualizing information are on top of the list of Tableau software benefits. Using unique visualization technology, we can quickly analyze data by expressing the analysis results using colors, shapes, and sizes. The development team is working on investigating what types of charts users prefer so that Tableau can display the best graphs for the data. The only disadvantage in this part is the meter, 3D graph, and heat map cannot be made.

  • Con: Poor BI Capabilities

Tableau lacks the functionality required for a comprehensive business intelligence tool, such as large-scale reporting, the building of data tables, and static layouts. Also, the formats of exporting and printing are limited, which is inconvenient for result sharing.

  • Con: Customized Issues

Tableau is almost closed that it is hard to customized or embedded into companies’ IT landscape.

1.3 Price

The price is based on the number of users. Considering that the cost of a license is quite high for most small to medium companies, Tableau is primary the choice of large enterprises.

2. FineReport

Category: Reporting BI tool

From Google

2.1 Overall ease-of-use

With the Excel-like interface and drag-and-drop elements, FineReport is easy for newbies to start. Anyone who used Excel before can be a fast learner of FineReport. The official website provides detailed teaching documents and videos for users.

2.2 BI Features: Pros and Cons

  • Pro: Smart Data entry

Data entry is a distinct feature of FineReport. It provides rich controls that make it easy to input massive data via forms directly into databases, with thoughtful functions such as data validation and temporary storage. Besides, it supports the import of excel data online and in batches.

  • Pro: Easy to make complex reports

The capacity for dealing with complex reports is impressive. Free splicing together aggregation blocks, eliminating the trouble of frequently merging and splitting cells in Excel. Each aggregation block is independent; you can drag&drop and put them together freely to create irregular reports.

  • Con: Inconvenient Multi-dimensional analysis

You can set up multiple drill-downs and ups for one cell data, but you need to create a report for each dimension.

  • Con: No recommend charts feature

Although FineReport provides a wealth of visual effects, charts, maps, 3D effects, it does not recommend charts according to the data. You should choose the charts by yourself.

2.3 Price

FineReport is free for personal use, no time or feature limits. For enterprises, it charges according to the function module and concurrent users. The price is between Tableau and PowerBI’s.

3. PowerBI

Category: Self-service BI tool

From Google

3.1 Overall ease-of-use

Since it is a BI tool developed by Microsoft, it basically brings Excel PivotTable and Excel’s data visualization tools to a higher level. The UI of PowerBI is similar to Excel, and it allows for a short learning curve. It also provides detailed learning videos and documents for further learning.

3.2 BI Features: pros &cons

  • Pro: Excel Integration

PowerBI can seamlessly connect to any Ms office. Also, with PowerBI, you can put the data in Excel where you can easily see the raw data behind the visualization.

  • Pro: R script visualization

PowerBI is the only one among the top 5 BI tools that support R, which uses the rich analytics and visualization power of R to present advanced data shaping and analytics such as forecasting.

  • Con: Authority management issues

It is not enterprise-class control, so it does not support multi-level permission allocation, and it cannot control the permission granularity of column-level viewed by users, and there is no corresponding complete control strategy for group permission control.

  • Con: Poor data handling capacity for free versions

The free version has a limit on the amount of data it can deal with. Once the data amount hits 2GB, you have to upgrade to the paid version to reduce the processing time.

3.3 Price

If you have a small budget and you are looking for an affordable option,Power BI is the product you will be ending up with. The Pro version is available at $9.99/user/month, which is lower than similar products in its niche.

4. QlikView

Category: Self-service BI tool

From Google

4.1 Overall ease-of-use

QlikView is a self-service BI tool that operates with its own “association technology” and in-memory technology. It has an intuitive interface that can be used intuitively and has a smart search function. It does not require cube construction and is more suitable for ad hoc analysis than routine analysis.

4.2 BI features: pros and cons

  • Pro: In-Memory Technology

QlikView calculates the data while the data is being transferred from backend to frontend, thanks to its in-memory technology. Because no pre-aggregated or pre-calculated data is to stored beforehand, the memory of the system can be saved, and the speed in data delivery is fast.

  • Pro: Direct & Indirect Data Searched

In QlikView, you can search for both direct and indirect data. In a direct search, you can input that data and get your information. While in indirect search, you can input something related to your desired data and get all the related data.

  • Con: Not user-friendly for non-technical users.

Data management should be more user-friendly. Right now, it is in the script editor. Someone with good knowledge of Relational Database can easily handle this, but programmer knowledge is a must. End users or non-technical people may be timid to start with QlikView as they will find it hard to start with.

  • Con: Not support map charts

Creating geographic mapping charts is pretty complex unless third-party add-ons are purchased.

4.3 Price

Each private user on QlikView is $1,350, and concurrent users are $15,000. A server license is $35,000. Other services are available at an additional cost.

5. Sisense

Category: Self-service BI tool

From Google

5.1 Overall ease-of-use

Like other market leaders of BI tools, the interface is intuitive that users can operate via drag-and-drop. Sisense also has an online community. Although users of Sisense’s community are less active than Tableau’s, the resources in that community are enough for newbies for deep learning.

5.2 BI features: pros & cons

  • Pro: Fast speed

With the software’s in-Chip engine, you can ask any question and get answers immediately without needing to go back to the drawing board for new queries.

  • Pro: Flexible integration

Sisense can smoothly integrate with popular third-party applications, including Google Adwords, Excel, Zendesk, and Salesforce.

  • Con: Limited charts

Charts are limited. Also, out-of-the-box visualizations and reporting features are a bit too basic compared to the market leaders.

  • Con: Inconvenient for team cooperation

Admins currently cannot edit each others’ dashboards. Only the owner of folders and dashboards can publish any changes.

5.3 Price

Provide the free trial, the full version price is quote-based, and need to contact vendors.

Which BI Software Best Meets My Needs?

So you’ve gone through the benefits and checked the negatives. When you look at these top 5 BI tools, which comes out the best? You can see that this BI software all has positives and negatives. If you still aren’t sure which software is better suited for the needs of you and your company, this may give you some advice on your decision.

Look at Tableau if you:

  • Need for software that provides excellent data visualization.
  • Have an adequate budget.
  • Want to do some business analysis by yourself with a drag-and-drop interface

Look at FineReport if you:

  • Need for reducing time in building complex reports in batches
  • Have requirements for flexible deployment and integration of BI tool
  • Want to display your dashboards on TV screens or large screens

Look at PowerBI if you:

  • Are using MS Office and be familiar with Excel
  • Have a small budget, and you are looking for an affordable option
  • Value teamwork and the collaboration feature of the software

Look at QlikView if you:

  • Focus on ad-hoc analysis.
  • Deal with vast sets of data and have a high demand for data delivery speed
  • Master some basic knowledge of relational database and programming knowledge

Look at Sisense if you:

  • Have to deal with big and disparate datasets
  • Have a high requirement for data processing speed
  • Are looking for software that covers the full range of business analytics

You might also be interested in…

9 Data Visualization Tools That You Cannot Miss in 2019

Top 6 Data Analytics Tools in 2019

What is Data Visualization for Large Screen and How to Implement It?

6 Key Skills That Data Analysts Need to Master

A Beginner’s Guide to Business Dashboards

How Can Beginners Design Cool Data Visualizations?

Top 10 Map Types in Data Visualization

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Passionate about leveraging BI solutions for success. Sharing insights on data science through blogs. Let's connect on LinkedIn for more updates!