Qlik vs Tableau vs Power BI: A Complete Guide to Choosing the Right Tool

Qlik vs Tableau vs Power BI: A Complete Guide to Choosing the Right Tool

By Stiliyan Neychev

August 17, 2022

Nowadays, the data we’re constantly surrounded by could potentially fill an ocean. Luckily, there are a lot of options on the market for business intelligence (BI) tools. But how do you make the right call on which one’s ideal for your business?

Well, with lots of research, of course! So, with the intention of saving you time in googling, reading, and cross-checking, we decided to make an article that encapsulates the platforms’ essence.

We’ll be comparing the top leading BI platforms according to Gartner’s Magic Quadrant for Analytics and Business Intelligence Platforms – Microsoft Power BI vs Qlik Sense vs Tableau. These leaders do more than just visualize data into pretty images; they help their users explore all sides of their data in a scalable and controlled manner. So, before we dive into the comparisons, let’s get a brief overview of the current market leaders.

Platform Overview

Generally speaking, all three of these platforms are business intelligence solutions offering interactive data visualizations and the tools to aggregate, analyze and share users’ data. But what makes them unique?

Microsoft Power BI

Well, Power BI started off as an add-on to Microsoft’s very popular Excel software but quickly became its own separate product. Microsoft’s acquisition of Datazen actually helped set the foundations and propel the Power BI software, and since then, the platform has been steadily growing.

A big part of its adoption came from the seamless integration with the Office 365 suite it provided, which most companies were already using. So, with the gradual expansion of the Office 365 software lineup, Power BI’s widespread use became more and more prevalent as time went on.

Qlik Sense

Qlik’s product lineup initially began with QlikView, which had at its core the Qlik Associative Engine – technology that allowed for fast handling of large amounts of users and data. Later Qlik came up with a new product for their arsenal – Qlik Sense – which also ran on the same engine. It was intended to replace QlikView by offering a more intuitive and user-friendly interface.

Qlik Sense went on to become the main focus of Qlik’s updates; because of its web-based nature, Qlik could easily support both the cloud-based and client-managed versions to keep up with the current trends.

Salesforce Tableau

Tableau as a platform gained noticeable popularity through its large demo library, which featured its prime objective – creating simple and user-friendly visualizations. Tableau made the process of populating and sharing a dashboard quick and easy through its VizQL engine – which introduced a drag-and-drop interface that anyone could use without any coding skills.

Since the Salesforce acquisition in 2019, Tableau’s business intelligence features have only improved and continued to marketize its easy-to-use nature, boasting impressive-looking dashboards done in minutes.

General Comparison

In-Depth Comparison


We begin with Microsoft’s cloud infrastructure deployment flexibility of Power BI … or more like their lack of flexibility. You see, Power BI runs only in Azure – Microsoft’s public cloud computing platform. And even though Azure itself maintains multiple geographies, thus ensuring that customers across the world have low-latency access to their infrastructure, it still doesn’t excuse this total lack of flexibility. For that reason, we’ll be giving Power BI a 2/5 for their Deployment options.

Moving on to Qlik Sense now, we see a drastic change in deployment flexibility where customers can utilize any major cloud provider, deploy on-premises, or even take advantage of a combination of these two approaches.

This is really refreshing to see since having total freedom and control over your own data is key when you want to make the most out of it. By allowing their customers to deploy Qlik Sense without requiring a change in their cloud analytics strategy or locking their data in one specific platform, Qlik will be receiving a 5/5 from us.

And last but not least, the flexibility that Salesforce offers with Tableau is very similar to what we see from Qlik. Tableau wants to fit into your current setup and not try to dictate what or where your architecture should be deployed in.

Salesforce tries to cover all of their clients’ needs with the help of either Tableau Server or Tableau Cloud, or even both, if necessary. And once again, for providing their customers a variety of choices for their deployment needs, we’ll give Salesforce Tableau a 5/5.

Data Connectivity

As Microsoft is a huge and popular company, it’s only natural that they implement data connections to various types of sales, marketing, project management, payment processing, and productivity platforms. Naturally, the list of supported connections expands periodically, and with such a big community behind Power BI, all the ones that are currently unavailable have established workarounds.

Power BI customers can expect to import the data from popular sources like SAP, ODBC, Snowflake, Apache Hive, etc. They can also take advantage of Direct Queries, which request the information from the source but never import it. All these reasons combined mean that Power BI will be scoring a solid 5/5 on the data connectivity scale.

Qlik boasts full customization and flexibility options with their Qlik Sense product and by going through their available native connectors, we can see most of the popular sources any customer would need. Additionally, any sources that aren’t available out-of-the-box are likely to be available for download through the Qlik website. They are also adding new data connections with every new patch, so the list is constantly expanding.

From our search, we couldn’t find any support for eCommerce or payment processing platforms, which can impede the data analysis of some clients. So, at the end of the day, Qlik Sense will be receiving a 4/5 from us.

Tableau has the native benefit of connecting to plenty of popular and not-so-popular sources. However, comparing its list of connections to Qlik Sense’s or Power BI’s, it feels like Tableau is lacking in several fields. We see some of the more widely used data connectors like Amazon Redshift, Microsoft Excel, Google Analytics, SAP, Snowflake, and, of course, Salesforce. However, we couldn’t find any out-of-the-box connections to project management, payment processing, or eCommerce platforms.

Additionally, there don’t seem to be any workarounds to establish these missing connections, apart from finding third-party or partner integrations online. Because of this comparative lack of data connectivity options, we’ll be assigning Tableau a 3/5 in this category.

Ease of Use

Looking at Power BI’s interface, we can see a clean drag-and-drop look with all the tools you’d need sectioned off into tabs on the side. If a user has ever worked with any Microsoft Office product, they would likely feel right at home with Power BI’s interface. Beginners could quickly make some visualizations thanks to the pre-built templates that Microsoft offers for each chart.

power bi ease of use
Source: Power BI

Additionally, the builder is WYSIWYG, so users can freely place their charts and free-transform them as they’d like, or they could enable the grid view and snap them to precise measurements. Because of its familiar design and easy-to-use interface, which can predispose a new user to start creating appealing visualizations from the get-go, we’ll award Power BI a nice 5/5 here.

Moving on to Qlik Sense, we can observe a unique interface with everything clearly labeled so that new users can easily maneuver around. The dashboard builder is once again drag-and-drop with all the customization and data tuning options on one side and the charts and fields lists on the other.

qlik ease of use
Source: Qlik

There is no free-transform option when adjusting the size of the visualizations; everything snaps to the grid. Luckily, the grid itself can be made bigger or smaller to allow for more precise layouts. We once again see a WYSIWYG editor, which nicely represents the final look of your dashboard while you’re developing it. Overall, apart from Qlik Sense’s distinctive design, everything we experienced seems to match the set expectations, so Qlik Sense will be receiving a 5/5.

Tableau is even more unique than its competitors, which could be considered a plus if you don’t enjoy the layout of the previous two platforms. In order to create charts, you have to first populate the columns and rows section, and then Tableau will present you with the most suitable chart for the dimensions you’ve provided. The given visualization can be switched afterward, but only to charts that match the dimensions you’ve set.

tableau ease of use
Source: Tableau

Tableau’s dashboard builder is a bit different as well since you have to make all the charts you need first in separate sheets, and then when you build the dashboard, you can drag and drop those sheets and free transform them as you see fit. All these minor sidetracks accumulate to form a visually appealing but ultimately tedious and time-consuming process of chart creation and so Tableau will end up with a 4/5 from us.

Data Visualization

Microsoft’s Power BI has most of the popular and classic visualizations available out-of-the-box, as well as some generic customization options, which users can apply quickly through the use of templates. However, developers will have to resort to the custom visuals marketplace if they want to make something more unique for their dashboards.

Most of the charts you can find there are free and either beautify some existing classic charts or add new and interesting ones. If nothing fits their needs, they always have the option to use code to create their own custom design and package them for either organizational sharing or publishing in the marketplace.

So, at the end of the day, Microsoft offers their Power BI users flexibility and customization, but they would either have to be satisfied with the options on the marketplace or be prepared to learn to code on their own. For that reason, we give Power BI a 4/5 here.

types of data visualization
Source: Boostlabs

Qlik Sense also comes with most of the traditional charts and tables, and their customization levels are about what you’d expect – change colors, labels, and on some charts, even their presentation styles. Users can also use some emojis in their visualizations, provided they code them in.

And here’s the part which might deter some newcomers – you have to be able to code if you want to make your dashboard visually unique. Of course, there’s always the option to utilize extensions to achieve your vision; however, Qlik doesn’t make them as readily available and applicable as Power BI. Qlik Sense handles data visualization adequately, but the lack of easily accessible customization options hampers it, and therefore we’ll be giving it a 3/5.

Tableau is praised for its data visualization capabilities and the amount of customizations users can do on their charts and graphs. It’s relatively easy to make a unique-looking dashboard by using custom images and icons – generally, the only restriction one might have is their imagination.

tableau dashboard
Source: Blockbuster

Additionally, the free-transform option allows users to adjust their charts to show the full label names. And if you think the size of your dashboard will be a constrain here, think again because Tableau’s dashboards can be extended as much as you need by presenting you with a scroll for maneuverability. Thanks to this freedom of customization of chart backgrounds, images, trend lines, sizes, and so on, we happily give Tableau a 5/5 in this category.

Data Transformation

Microsoft has ensured that its business intelligence products are equipped with the necessary ETL functionality, and that’s why both Power BI and Excel have Power Query to utilize.

The Power Query Editor comes with Power BI Desktop, allowing customers to connect to one or more of the available data sources, then extract, shape, and transform the data to meet their requirements, and finally, load and utilize that data in their own models.

As far as the ETL process goes, everything we’ve seen from Power Query seems to meet all the standards – you can even use the Advanced Editor to dive into the query code and adjust it to your needs.

power bi data transformation
Source: The New Stack

However, from our experience, Power BI doesn’t seem to handle large data sets well. Users may encounter issues connecting to or importing from larger data sets and may be faced with performance issues throughout the process. So, that’s why Power BI will be receiving a 4/5 from us.

Qlik Sense also has a built-in ETL functionality. With it, users can really take advantage of Qlik’s performance optimization by storing the extracted raw data in a QVD file. Additionally, that format is 10-100 times faster than other data sources. Using a QVD library allows users to reuse the data in other Qlik Sense applications instead of having to extract it all over again.

qlik data transformation
Source: Qlik

Similar to Power BI, clients can dive into the ETL query code in Qlik Sense and modify it to get the most desired results out of the process. Users just need to be familiar with the Qlik Sense script syntax to do so. Because Qlik has optimized its engine well, customers can focus on the quality of their data rather than worry about the challenges that come with an increasing data volume. The well-tuned performance of Qlik Sense really gives it an edge over its competition.

Additionally, having the engine available out-of-the-box and for all deployments of Qlik Sense really shows consideration for the customer. And that’s why Qlik Sense will be getting a 5/5 here.

Salesforce Tableau doesn’t come with built-in ETL functionality, but customers can download Tableau Prep (a.k.a. Tableau Prep Builder). This is a stand-alone subscription-only product that works with Tableau Desktop, Tableau Online, and Tableau Server.

In terms of functionality, Tableau Prep has a user-friendly interface that could help any user work on data preparation without too much of a struggle. The tool itself isn’t really made for customizing complex logic since it doesn’t have a way to adjust the ETL query code.

tableau data transformation
Source: Interworks

Additionally, some of its available functionality isn’t fully developed for each step of the ETL process, like aggregations for example. Overall, the whole experience is serviceable to a point but will leave some of the more experienced developers wanting more. Couple that with the additional subscription it requires, and, in our opinion, Tableau will be going home with a 3/5 in this category.

Data Modeling

Power BI is all about providing users with a complete business intelligence package, but amongst all the features hides a very crucial limitation – it isn’t well optimized. And there’s no place we can observe this better than when doing data modeling. First off, as we mentioned in the previous section, Power BI doesn’t deal well with loading in large data sets. In fact, it was the slowest one out of the bunch when we compared uploading around 40 million records in the Desktop version.

On the bright side, its data modeling system does have all the expected functionality. However, all connections and relationships need to be manually set by the user, which slows things down a lot, especially when dealing with multiple tables. So, all this leads us to the score for this section, which will be a 3/5 for Power BI.

Qlik Sense, on the other hand, is very well optimized to handle all tasks relatively quickly. When we tried the 40 million records test upload in our on-premises instance, Qlik Sense managed to deal with it in about a minute – faster than any of the other platforms.

Furthermore, because of its Associative Engine, all data relationships were automatically indexed and connected. This meant that even non-technical users could set up and create data models. The automatic table previews, unions, and connections were refreshing to see, and from what we gathered, there were no missing features or functionalities to speak of. Qlik’s performance and speed are so far unmatched by its competitors, so that’s why we’ll be awarding Qlik Sense with a 5/5.

data modeling with qlik sense

Tableau has its priorities focused on nice-looking visuals and a user-friendly interface, so you wouldn’t be remiss if you thought their performance wasn’t very optimized as well. However, Tableau is surprisingly well-optimized to handle larger datasets, which sadly comes at a price. When we ran the 40 million records test here, Tableau was still a bit slow, but it was quicker than Power BI, which is impressive.

But as we mentioned, this was probably because of the way its data modeling experience was built. Users can’t pull in all tables and play with connections to establish the right connections on the go; rather, they need to drag them in one by one in the correct order or risk starting over again.

Furthermore, the connections need to be manually determined by the user as well, and there’s no table preview to speak of, which makes the whole experience more tedious and cumbersome. In the end, the whole experience was slow and unpleasant, so we’ll award Tableau a 3/5 for this category.

Data Governance

Microsoft has woven the concept of governance within all of its products, so it only makes sense to see features to control the security and management of data assets in Power BI, as well. Users can utilize features like endorsing data sets and showcasing which ones are important for their team, even marking them as certified or not for more authority.

Additionally, Power BI lets you add sensitivity labels to your dashboards, reports, data sets, and even data flows, which can then be used to control access between your userbase.

And, of course, Microsoft’s Defender for Cloud Apps provides some protection options for the more sensitive data through alerts and session monitoring. Overall, Power BI gives its users much of the necessary control to mark, section off, and organize their data, and for that, we will award them with a solid 5/5.

data accountability

Qlik Sense has some built-in functionality that controls who gets to see what – it’s called Section Access. By setting it up within an app’s data load script, it dynamically reduces the shown data to the appropriate scope when the application gets accessed by another user.

But that’s not even the best Qlik has to offer since all customers get their own Qlik Management Console (QMC). From there, many adjustments, limitations, and notifications can be enabled, which helps tailor the Qlik Sense experience to best fit the customer’s needs.

It may be a bit hard to wrap your head around at first, but it offers some great options like setting up tags, adjusting security rules, controlling stream (or space) access, and much more. So, we’ll give Qlik Sense a 5/5 as well for providing their users with lots of choices and flexibility throughout their data governance features.

data quality

Tableau also puts a lot of effort into giving its users the flexibility to control who has access to what data. Most of what you’ll find here is based on account authentication and authorization mechanisms, like the user filters, metadata management, and so on.

Also, users can monitor and audit their workbook or dashboard usage to ensure the intended use of their data assets. Tableau can also connect to other security protocols such as Kerberos, Active Directory, SAML, trusted tickets, and certificates.

All in all, a user will be able to find all the standard data governance features here as well. And although they may not be as in-depth in some places as they are in Qlik Sense or Power BI, it’s still a valiant effort worth a 5/5 in our books.

Augmented Analytics

On the Augmented Analytics front, Power BI has plenty of ways to enhance dataflows with artificial intelligence. Its automated machine learning (a.k.a. AutoML) feature allows users to train, validate, and invoke models. The service itself extracts the most relevant features of the provided data and trains the model based on them.

robotic process automation - b eye

Microsoft has also thought about the professionals in the field by arming them with Azure Machine Learning, which can both create new machine learning models and import any previously built ones from platforms like Pytorch, TensorFlow, or scikit-learn.

However, the Azure Machine Learning feature is only available to Power BI Desktop users. And last but not least, users can take advantage of Power BI Q&A, the platform’s natural language processing tool, to get quick visualization results based on natural language questions or requests.

From all this, we can see that Microsoft has ensured that all its users could enjoy a large enough plethora of augmented analytics features, and their efforts haven’t gone unnoticed in our eyes. That’s why we’ll be giving Power BI a 5/5.

Moving on to Qlik Sense now, we can see that their philosophy on speed and efficiency has led them to enhance the preparation, exploration, and authoring functions with associative suggestions. This augmented performance is due to their Associative Engine, and it helps all their users, no matter the skill level, to search through their existing data sets for insights and correlations.

Additionally, users can utilize the Insight Advisor to speed up the data preparation and analysis process through natural language inputs, provided they have the needed subscription.

Qlik Sense also has an automated machine learning (a.k.a. Qlik AutoML) feature up its sleeve, a separate platform requiring its own license. With it, users can easily generate machine learning models, make predictions, and test scenarios without interacting too much, if at all, with the code behind it.

So, Qlik’s customers can get a lot of use from the available augmented analytics features. However, if users want to incorporate any models they’ve already developed somewhere else, they’d have to resort to extensions and community guidelines. All this puts Qlik Sense at the 4/5 point for this category.

Tableau continues its no-code user-friendly approach even in the augmented analytics category. The platform has its own Insight Advisor called Ask Data, which provides context-aware suggestions and visualizations based on natural language queries from the user. They’ve also coupled their advisor with an Explain Data feature that shows users relevant explanations when hovering over particular highlight points.

Salesforce has even invested in integrating their Einstein Discovery no-code environment into Tableau’s business intelligence feature list. It requires a separate subscription, and with it, any user, regardless of skill or experience, can create machine learning models that offer recommendations and predictions with the data at hand.

So, Tableau also has a way to lower the barrier to predictive modeling. Still, because of their no-code approach, they haven’t got a way to accommodate the more experienced ML model creators, similarly to Qlik Sense. So, overall, Tableau will be running off with a 4/5 for the augmented analytics category.


In terms of report sharing and delivery, Power BI has some built-in functionality both within its desktop and online instance that don’t really flow well together. By uploading online, the reports created in Power BI Desktop, users can set up scheduled email subscriptions for those reports with role-based data access limitations. Admins have more control over the overall report adjustment and distribution process through the online instance since the desktop version is a bit limited on that front.

Furthermore, the reports themselves can only be added to emails as attachments, but various file types are supported, such as PPTX, PDF, XLSX, etc. So, to summarize, Microsoft does provide reporting out-of-the-box; however, they really haven’t put much effort in smoothening the whole process throughout the Power BI platform versions.

This unintuitive design and setup have many users darting to the community forums for guidelines and even going as far as utilizing Power Automate, which requires a separate subscription in case you don’t have Microsoft 365 Suite subscription, to achieve a smoother distribution process. For that reason, we’ll be giving Power BI a 4/5 here.

how it and business collaborate

Qlik Sense, on the other hand, doesn’t support report distribution and sharing from the get-go. Rather it requires a separate subscription to its Qlik NPrinting platform to make that work. The platform itself, though, is pretty rich in functionality and customization.

Users can set up scheduled email distribution, with different types of reports going to varying positions or roles. The elements for the reports can come from several apps at once, and the data can be customized and filtered as much as necessary. The reports sent to email can be both available as attachments and embedded within the message body.

Overall, Qlik NPrinting is great for reporting and offers users a lot of options and flexibility; it’s just a shame that it doesn’t come included with Qlik Sense. So, we’ll award them a 4/5 for this section.

Similar to Power BI, Tableau also has some built-in reporting functionality, which comes in the form of site subscriptions. They need to first be enabled by the server administrator, and the recipient of the email report needs to have at least a Viewer license. Apart from that, users can add recipients to the relevant scheduled subscription service, which can send the report either as an image or a PDF file.

This is where data comes into the picture. - B EYE

But let’s get one thing clear here, Tableau doesn’t actually have a report creation or customization option; it just allows you to share and distribute any regular dashboard as a report, which is quite basic, to say the least. And because of this limited functionality and flexibility, we’ll be giving Tableau a 3/5.

Mobile App

Power BI’s mobile app is compatible with Android phones and tablets, iPhones and iPads, and, of course, Windows phones. With it, users can access their reports and dashboards in real-time through a great mobile interface.

Additionally, users can take advantage of the Q&A feature where they discover new insights just by typing, or in the mobile app’s case, even speaking naturally. Collaboration is also possible through comments, @mentions, and annotations.

power bi mobile app

The one limitation that we noticed was that users couldn’t develop new visualizations or dashboards on the go. Overall, apart from that restriction, we were pretty happy with the mobile experience of Power BI, and we’ll be giving it a nice 4/5.

Qlik Sense’s mobile app is only compatible with Android and iOS devices, so Windows phone users won’t be able to take advantage here. On the bright side, app users can view, analyze, control, and even create new dashboards and visualizations.

Qlik Sense’s mobile interface provides users with a quick and easy way to collaborate on projects, set up alerts, and find new insights through the Insight Advisor Chat Bot. Qlik also boasts that the dashboards built within the mobile app can seamlessly transition across all devices.

qlik sense app
Source: Qlik

Finally, there’s offline support, where users can download apps and data to interact with and explore before going into environments with unreliable connectivity. All of this combined equals a 5/5 for Qlik Sense in our books.

Tableau’s mobile app is also compatible only with Android and iOS devices, so it looks like Windows phone users will only be able to rely on Power BI. In terms of functionality, Tableau’s mobile app allows users to preview and interact with their workbooks, worksheets, and individual visualizations.

Collaboration, sadly, isn’t an option yet, but on the bright side, since the June 2022 patch, users can share content directly with others.

tableau mobile app
Source: Tableau

Furthermore, offline support allows previewing all the required data at any time regardless of internet connection. From what we’ve seen, creating new visualizations or workbooks isn’t possible. Ultimately, we’ll be rating the Tableau mobile app with a 4/5 for its pleasant interface, interactive options, and offline support.


Microsoft offers two options to Power BI users – Power BI Pro and Power BI Premium, where the former has quite a few limitations and the latter provides a lot more functionality. Users have to option to try the tool out for free by downloading the Power BI desktop application. This free version allows for personal report and dashboard creation and limits the data source connections. In order to unlock the connecting, sharing, and collaborating options, users will need to pay $10 (per user/month) for a Power BI Pro license.

To get access to some of the more exciting features, though, customers will need to pay $20 (per user/month). This includes stuff like Dataflows, Advanced AI capabilities, paginated reports, etc. These license options are manageable for companies under 100 employees, but, naturally, bigger companies will need to contact Microsoft’s sales team for a custom-tailored price quote. Overall, we’ll award Power BI a 5/5 here for the price flexibility it provides.

pricing of data viz platforms

Qlik’s price list, on the other hand, aims to get users straight into the action with their Qlik Sense Business license. It costs $30 (per user/month) and contains all the features that come built-in with Qlik Sense, with some limitations at places like the app size limit or the number of shared spaces a user can access. If unsure about the cost, clients can utilize the 30-day free trial to explore and test out this cloud-based version.

This license option is great for small businesses, but the bigger the company size, the more beneficial it becomes to request a custom price quote from Qlik’s sales team. In the end, the timed free trial and the lack of options Qlik Sense provides within its price list will net it a 4/5 in this category.

Looking at Tableau’s prices, we can spot several different licenses which have varying prices depending on the client’s preferences to go with Tableau Server – the on-premises approach – or Tableau Cloud. Naturally, the cloud-based option costs a bit more.

Going through the different licensing tier features, we can see that Tableau Viewer costs $15 (per user/month) when activated in Tableau Cloud or $12 (per user/month) in Tableau Server. It’s only useful for users that want to view, analyze, and interact with data visualizations and workbooks but not create any themselves. That option is available with the Tableau Explorer license, which is $42 (per user/month) or $35 (per user/month) depending on the deployment approach again. It has some limitations in terms of what data governing, authoring, and preparing features it offers, but it’s useful enough to get users started.


What most companies will likely go for, though, is the Tableau Creator license, which is their most expensive one – $70 (per user/month). It gives access to Tableau Desktop and Tableau Prep Builder, as well as Tableau Cloud or Server, and it’s the most complete version of the platform. Users also have the option of a free 14-day trial that gives them a taste of the full suite experience.

Overall, Tableau offers business intelligence users some flexibility when it comes to choosing a license, but it’s also the most expensive tool out of the three. So, for that reason, we’ll be awarding it with a 4/5, as well.

Competitors to Look Out For

As a bonus, we thought we’d briefly talk about some competitors that are worth looking into or, at the very least, keeping an eye on. These companies are constantly improving and, in terms of offered functionality, are nearing the top three leaders (Microsoft Power BI vs Qlik Sense vs Tableau).


ThoughtSpot focuses on providing its users with search and AI-driven analytics in a slick and friendly package. Its drag-and-drop interface allows anyone to do quick and easy analysis. And with the help of Search IQ and Spot IQ – the platform’s data search engine and AI engine, respectively – users can go through any unnoticed data correlations for more insight gathering. The platform does have a 30-day free trial for anyone curious to try it out.


Sisense offers its users an easy-to-use drag-and-drop interface with which to analyze, visualize, and share complex data and insights. So, nothing too much out of the ordinary? You’re absolutely right! It offers a lot of the standard staples like dashboard creation, data mashups, augmented analytics, data filtering, etc. Sisense also offers a two-month free trial, so anyone curious can try it out and see how it compares to the big three.


Oracle Analytics is Oracle’s AI-driven analytics software, and it’s set to cover everything from data ingestion and modeling to data preparation and visualization. Because the company first began as a database management system, it’s been able to polish up and enhance those features throughout the years. So, what you get in Oracle Analytics is quite a sophisticated data preparation and enrichment service. Coupled with some excellent data visualization features, and you’ve got a solid experience, which companies can test out with the free 30-day trial.


SAP Analytics Cloud (SAC) combines the three major aspects of business intelligence – planning, data visualization, and predictive analytics – in one centralized solution. It unites the power of all other SAP tools to streamline the analytics process of a company. As with the other competitors, machine learning and augmented analytics play a big role in guiding users to the best possible insights. The platform offers a 30-day free trial, which can be extended to 90 days after the first week of usage.


Domo is a cloud-based BI platform that was made with the business end user in mind. Therefore, it’s built to be fast, transparent, and, most of all, user-friendly. Users will find that they can easily create and customize data connections, dashboards, and alerts. There’s also built-in query handling in the form of its Magic ETL, which presents an easy setup due to its drag-and-drop interface. Domo also offers a 30-day free trial for anyone looking to test out its interface and functionality.


So, at the end of the day, who won the Microsoft Power BI vs Qlik Sense vs Tableau race? Well, if we look at the points – Qlik Sense wins! However, these stars were given in terms of platform flexibility, customization, and user-friendliness. Not all companies look for the exact same features in a platform when making their choice. So, let’s quickly summarize the three platforms’ strengths.

If you want a fast-performing, optimized, and all-in-one experience, then Qlik Sense is most likely the platform for you. While if you want to quickly jump into data analytics with a familiar and user-friendly tool with all the bells and whistles you’d need, then Power BI is probably the way to go. And if you want to create beautiful, unique, and customizable visualizations, then Tableau is in the cards for you.

And that’s it! We reached the end of this long comparison article. And if there’s one thing that you should take away from all this, it’s that B EYE will be here to support you with whichever choice you go for. So, feel free to contact us, so we can discuss what your next steps into the world of data analytics could be.