Power BI vs. Tableau vs. Qlik Sense: Which BI Tool Is the Winner?

35 comments
June 12, 2024

We’ve all bought something we thought was a splurge, only to end up loving it. But unlike that fancy appliance, there’s no easy return process for a BI system, and missing out on the perfect features can give you buyer’s remorse.

Our analysts compared Power BI vs. Tableau vs. Qlik Sense to help you choose a suitable BI tool. Spoiler alert: Power BI is the winner. Let’s dive in!

Compare Power BI, Tableau and Qlik Sense Against Your Needs

Power BI Vs Tableau Vs Qlik Sense Comparative Guide

What This Article Covers

Fortune Business Insights expects the BI software market value to double to $63.76 billion by 2032. Still, businesses struggle with manual data entry, siloed data and adoption issues.

My friend, a hotelier, says they work with Excel, though there are better alternatives. It’s how they’ve worked until now, she says.

With several BI tools in the market, why should you settle for less? We hope this Power BI vs. Tableau vs. Qlik Sense will help you decide on a suitable BI platform.

Power BI vs. Tableau vs. Qlik Sense Overview

Our scoring engine computes the analyst score based on an apples-to-apples software comparison. It includes functional, technical and vendor qualification requirements. This analysis includes only the functional requirements.

Here’s a summary of the three contenders.

Product Power BI Tableau Qlik Sense
Analyst Rating 89 79 87
User Sentiment Score 88% 87% 85%
Free Trial Yes Yes Yes
Deployment Cloud, On-premise. Cloud, On-Premise Cloud, On-Premise
Company Size S M L S M L S M L
Starting Price $10 $15 $30 user/mo

Compare Power BI, Tableau and Qlik Sense Against Your Needs

Features Comparison

Our analysts elevate product comparison to a science, making it easy to evaluate products side-by-side with a score-based assessment. The following table gives you a glimpse of what’s coming.

Feature Power BI Tableau Qlik Sense
Data Visualization Graphs and charts with clickable datasets. Animations and data refreshes. Dashboard Starters, extracts, live connections, and the Show Me feature. Guided searches, auto chart building and a rich graphics library.
Data Analysis DAX for advanced calculations. Relies on Azure for AutoML. Calculate probability and test ideas using statistics. Go beyond basic functions with APIs. Relies on the Qlik Cognitive Engine and AutoML for machine learning.
Reporting Instant reporting with self-service BI. Sign up for alerts and subscribe to receive regular updates. Ad hoc reporting, subscriptions and (versioning. Instant reports and data alerts. Limited versioning support.
Embedded Analytics View dashboards and reports where you work. Write back updates to the database. View your data within web apps and websites. White label dashboards and assign access permissions. Access your data within regular workflows. Supports write-backs to the database.
Data Management Direct query databases and transform data with the Power Query Editor. Handle large datasets with SSAS. Tableau Prep prepares data and sets up workflows. A data catalog for organizing records. Manage data, users and business rules from a central hub. Visual transformation tools and scripts.
Mobile BI View and explore reports, sign up for push notifications and view data even when offline.

View dashboards in a single view. Interact with data and stay connected even when offline. Create charts on your mobile device and discuss them with your teams. Offline access is available.

Dashboards and Data Visualization

Data visualizations and reports monetize your data by revealing what’s important.

BI tools have basic graphics and use R and Python scripts for data displays. Here’s how the three products score for dashboarding.

Power BI Tableau Qlik Sense
Analyst Score: 94/100 Analyst Score: 100/100 Analyst Score: 100/100
Winner: Tableau and Qlik Sense lead in rich data displays and handling large datasets.

With Power BI, create dashboards with tiles and animations and allow users to interact with them. Build custom apps without writing code. Ensure everyone works with the latest information.

Keep your data up-to-date by refreshing it manually or scheduling updates.

Power BI Procurement Analysis Dashboard

A procurement analysis dashboard in Power BI. Source

Tableau offers ready graphics and lets you build your own. It supports live source connections and data extracts. Starter dashboards for Salesforce, Oracle Eloqua, Marketo and ServiceNow ITSM are available.

Qlik Sense has a rich graphics library with animations and the option to pick and display static values. It has a central console for managing data and content libraries for storing logos. The Qlik vs. Tableau comparison sees them at par, with both excelling in visualization.

Compare Power BI, Tableau and Qlik Sense Against Your Needs

Reporting

Reports are no longer static, instead, they update in real time and offer immediate insights. Forget boring tables — think visuals with text descriptions. With self-service BI tools, anyone can build reports.

Power BI Tableau Qlik Sense
Analyst Score: 89/100 Analyst Score: 93/100 Analyst Score: 88/100
Winner: Tableau wins for its report-sharing options and the ability to retain all report versions.

Power BI reports keep you informed when production or inventory levels drop. Subscribe to receive reports after the latest data refresh or as per schedule.

With conditional formatting, you will never miss key metrics and patterns. A separate solution, Power BI Version Control Download, saves report versions.

Power BI Report Sharing Options

Power BI offers many report-sharing options. Source

Reporting with Tableau requires laying the groundwork. You must first create a sample workbook and report and publish them on the Tableau Server.

Sign up for email updates and share reports as images or PDFs. Report export and versioning are available, and the Ask Data feature answers text queries. But older Tableau versions can’t open new files.

Qlik Sense relies on Qlik NPrinting to report in MS Office, PDF and web formats. For ad hoc reporting, first, you must create master lists of data fields and publish them on the Qlik Management Console.

Alerts are available at the admin and user levels. Context-aware links take users to their dashboards. Insight Advisor provides text searches and creates charts.

Embedded Analytics

All three products support separate workspaces for different teams. It gives clients the freedom to set up displays and interact with their data without privacy issues.

Power BI Tableau Qlik Sense
Analyst Score: 100/100 Analyst Score: 91/100 Analyst Score: 78/100
Winner: Power BI wins for secure write-backs and triggered actions.

Power BI Embedded is the vendor’s bespoke analytics solution. It’s for developers to create custom apps for embedding. You can set up workflows with Power Automate and write back to the database with Power Apps.

You can embed Tableau dashboards in web pages, portals, Wiki pages and custom apps. Webhooks trigger actions and update databases.

Tableau Embedded Analytics

Get analytics capabilities within your application with embeddability. Source

Qlik Sense comes with a design that uses APIs as building blocks to extend its functionality. It can embed content into portals, web apps and websites.

Set off workflows in the host application. Select a region and watch the metrics update in the dashboards. Write back to operational systems like Salesforce, Jira and HubSpot or data platforms like Snowflake or MySQL.

Mobile BI

Reports that fit on any screen keep you connected when out of the office. Offline access and data caching will ensure you stay updated in areas with low internet connectivity.

Power BI Tableau Qlik Sense
Analyst Score: 100/100 Analyst Score: 71/100 Analyst Score: 93/100
Winner: Power BI wins due to shared reports and location data on mobile.

Power BI supports mobile-optimized reports and has a mobile app. Text querying and push notifications are available. Dashboard viewing is allowed, but sharing requires signing up for the paid versions.

Tableau Mobile displays published content from Tableau Server and Tableau Cloud. You need a Tableau Server or Online account. You can’t create dashboards, but interactivity is available.

Metrics for Tableau is a particular content type for tracking data from several dashboards in a single view.

With Qlik Sense mobile, you can create data stories using Qlik Sense apps and mashups. These are web pages or apps with embedded Qlik Sense objects. Offline access is available. In the Qlik vs. Tableau comparison, Qlik scores for being more user-friendly.

Benefits

  • Track how marketing campaigns and sales teams perform.
  • Target customers with the correct data.
  • Decide upon a product price that’ll suit buyers and keep you profitable.
  • Decide whether to restock or pause orders by monitoring inventory on mobile.

Compare Power BI, Tableau and Qlik Sense Against Your Needs

Data Management

Is siloed data getting you down? You won’t know what you missed unless you gather data from all sources. With so much data, it can devolve into madness unless there’s a method to it, and that’s what data management does.

All three products score equally for this feature.

Power BI Tableau Qlik Sense
Analyst Score: 100/100 Analyst Score: 100/100 Analyst Score: 100/100
Winner: All three products tie for excellent data management and governance.

Power BI forms live connections to datasets. However, these connections should be published on the Desktop or the Power BI Service. The platform queries databases without importing data.

Microsoft SSAS manages multidimensional data for Power BI and routes all data through a single source of truth. The Power Query Editor checks data for types, completeness and correctness. You can preview and modify data before publishing.

Power BI Data Management

Back-end data management serves up the desired insight on demand. Source

Tableau provides a blueprint for developing analytics at scale.

  • It supports virtual connections to shared datasets.
  • Your Tableau instance must provide row security at the connection level.
  • The blueprint defines Tableau Catalog as the table of contents for data discovery.
  • The last element is Tableau Prep, which blends, cleanses and organizes data. It keeps data up-to-date using refresh workflows.

The platform supports linked tables for complex calculations. Tableau supports cube data only on Windows.

Qlik exchanges data with R and Python for complex calculations. The platform can join tables even if they don’t have the same fields. Using AI, users can combine, transform and load data from several sources.

The Qlik Catalog serves as a data map. For OLAP, Qlik enables slicing and dicing data with simple selections. When several fields form a natural hierarchy, it creates a drill-down group.

Data Querying

This functionality involves sending queries to data sources using scripts or screen selections. Live connections are life savers when you must cater to large volumes, though they can slow down performance.

It’s a Qlik vs. Power BI face-off, as both platforms support direct queries.

Power BI Tableau Qlik Sense
Analyst Score: 90/100 Analyst Score: 99/100 Analyst Score: 92/100
Winner: Tableau wins for efficient batch updates and SQL querying.

Power BI offers separate workspaces. Teams can use shared datasets and collaborate on dashboards. The Power Query Editor’s 250 DAX functions and the M language make it a powerful tool.

Tableau establishes a live connection at first. If you don’t need live data, extracts are a better option.

Selections for queries and an in-memory engine make Tableau a powerful tool that uses multiple cores to process data.

Comparing Qlik vs. Tableau for data exploration, Qlik Sense uses an associative engine. Tableau has a drag-and-drop query approach.

The Qlik Sense engine maps how datasets relate and allows open-ended data exploration. Direct query with Snowflake is also available. You can reload data in batches or partially. Qlik Sense uses QVD files that can read Qlik scripts at speed.

Qlik Sense Direct Query

Qlik Sense can query Snowflake records directly. Source

Benefits

  • Intelligent data management and querying will reveal helpful patterns in data.
  • Assured data quality promotes confident decisions.
  • It can help you course-correct if your sales strategy is weak or if a campaign falls flat. Besides, it assists in planning.

Advanced Analytics

Data storytelling is increasingly popular, and teams rely on AI/ML and NLP to convey insight. When dealing with big data, you need all the help you can get. Combining it with predictive modeling opens up a host of possibilities.

You can segment buyers based on behavior and create campaigns that consider their preferences. Are these tools up for it?

Power BI Tableau Qlik Sense
Analyst Score: 85/100 Analyst Score: 75/100 Analyst Score: 91/100
Winner: Qlik Sense wins this comparison for its server-side data exchange capabilities.

Power BI uses R and DAX for calculations and statistics, including regression, correlation and variance. The platform relies on Azure for text and sentiment analysis, though the free Desktop version lacks them.

Tableau connects to Python, R and MATLAB for forecasting.

Regression analysis helps you predict events and control how you run your business. Tweak the outcome and backtrack to what the deciding variables should be.
Now you know what inventory levels and production levels you want.

Tableau uses Python to analyze text based on words that indicate a positive, negative or neutral emotion. Time-based comparisons are available.

Qlik Advanced Analytics

Analyze and respond to customer reviews using AI. Source

You can invoke R functions from Qlik scripts, perform calculations and pass back the results to Qlik. The Insight Advisor enables simple and complex analysis.

Qlik Sense works with KNIME to build forecast models. The platform also supports regression, grouping and time-series analysis.

Compare Power BI, Tableau and Qlik Sense Against Your Needs

Augmented Analytics

This term refers to the tools and technologies that improve data analysis. These techniques include AI/ML and text processing. Though unconventional, they maintain data quality and accuracy.

AI can take data prep off your hands if you set it up. The system will cleanse, combine and catalog data on its own.

Power BI Tableau Qlik Sense
Analyst Score: 69/100 Analyst Score: 18/100 Analyst Score: 67/100
Winner: Power BI takes the lead for ML and contextual insight, though the Qlik vs. Power BI comparison is a close one. The platform excels at selecting the best data and algorithms for forecasts.
Einstein Discovery Tableau Extension

Acquire predictions and predictive analytics with machine learning. Source

Power BI relies on Azure to create new models and import existing ones from other platforms. AutoML trains and runs the models on data. Analyzing the selected data is easy — click on the Quick Insight button.

Tableau’s Explain Data feature explains outliers and anomalies. Behind it are powerful statistics that suggest the most likely explanation after checking hundreds of them.

The results include charts and text descriptions. With Ask Data, you can get answers by typing text queries.

Qlik has AutoML, the Insight Advisor and Smart Search. AutoML helps in predictive modeling, automatic insights, natural language analytics and workflow building. Smart Search allows searching the entire data store.

The Qlik Cognitive Engine helps you analyze data by suggesting how to connect it and visualize it.

Benefits

  • Regression analysis can help you determine where to spend your money. You can backtrack to see which channels have the most impact.
  • Predicting demand can help you plan production and allocate resources.
  • Assess your performance over time with built-in date/time functions.
  • Identify segments and test marketing strategies with AutoML.

Geospatial Visualizations and Analysis

Power BI Tableau Qlik Sense
Analyst Score: 86/100 Analyst Score: 100/100 Analyst Score: 76/100
Winner: Tableau scores a perfect 100 for powerful maps and spatial files. The platform can convert addresses into coordinates.

Power BI can use maps from Bing, ArcGIS, Google Maps and the web. The platform connects to TopoJSON and Esri files. Power Query and DAX have built-in geospatial functions.

Tableau allows symbol, heat, choropleth, flow and spider maps in its charts. Geocoding is built-in, and map searches use predictive text and geospatial calculations. Vector mapping tiles are new to Tableau and show clear images when zoomed in.

Tableau Maps

Tableau has vector mapping tiles to maintain the image quality when zoomed in. Source

Qlik GeoAnalytics Connector gives access to map data and groups similar locations. It helps you determine how close customers are to a store and define regions based on sales territories. You can analyze routes and enrich your data using lookups.

You can display an airport map with WiFi hotspot locations using URLs for Qlik Sense maps.

Benefits

  • Traffic patterns, residential areas and road routes are critical in deciding where to do business.
  • Mapping delivery routes saves fuel costs and time.
  • Delivery vehicles, field workers and remote equipment send GPS data that’s critical for business.

Compare Power BI, Tableau and Qlik Sense Against Your Needs

Which BI Tool Wins?

Power BI comes out on top, scoring a perfect 100 for data management, embedded analytics and mobile BI.

The platform wins for augmented analytics but trails Qlik Sense in advanced analytics. It also lags behind Tableau in reporting and version control. However, strong analysis dashboards and AI/ML make it the overall winner.

FAQs

A Tableau vs. Power BI cost comparison is inevitable if these two products feature on your list.

Power BI Desktop is perpetually free, while Power BI Pro is affordable at $10 per user monthly. You can create reports, but sharing them requires signing up for the paid versions.

Power BI Premium Per User costs $20 monthly. A capacity-based subscription is available at $4,995 per SKU. Advanced AI, dataflows and paginated reports are its shining features.

Sturgeon Christie, CEO of Second Skin Audio, had this to say.

(Power BI) offers a more attractive price point, which is particularly appealing for startups and small businesses looking to maximize their resources. This aspect makes Power BI accessible without compromising on functionality.”

A Tableau Creator license will cost $75 per user monthly. Visual data prep, robust analytics and secure sharing are its stellar features. Tableau Explorer allows self-service data discovery and will cost you $42 monthly.

At $15 monthly, Tableau Viewer is the basic version for viewing and interacting with dashboards. Custom plans are available on request.

No, but learning DAX can help you make good use of the platform to transform and visualize data.

No, but programming skills will give you that extra edge, helping in table calculations or LOD (Level of Detail) expressions. Plus, integrating Tableau with other systems, including custom sources, will require script writing.

Tim White, Founder of milepro.com, a travel website using multi-channel marketing and data analytics, found Power BI a good fit for his team.

Power BI is great for my team of traveler-creatives. Because they tend to be visual learners, but also non-technical, it’s helpful to have drag and drop user features. This way, each user can manipulate the data, without having to understand how to create formulas. The ramp up time just takes a month or two to develop basic capacity, as opposed to years for spreadsheets.”

Rafael Estrada, Owner of Estrada Consulting, said Power BI is the default in Microsoft environments.

Power BI scores over Tableau in organizations that are already invested in Microsoft technology. As a Microsoft Certified Gold partner in Business Intelligence and Custom .NET Development Solutions, we often use Power BI in organizations regularly using Excel, MS SQL Server, and the Azure ecosystem – especially where much of the organization’s data is captured and processed within an Azure environment. In such organizations, Power BI is essentially a seamless add-on for visualizing Azure data. It certainly has a learning curve of its own, but integrating it with existing Microsoft software is virtually seamless.”

But Tableau has much to offer. Estrada goes on to say.

As a Tableau Certified Partner since 2015, we’ve seen that Tableau scores over Power BI in organizations with a more disparate architecture – perhaps a mixture of Apple, Linux, and Windows products. Tableau is primarily focused on data visualization and analytics. Its drag-and-drop builder is a bit more modern than Power BI, which is also a plus for organizations not invested in the Azure ecosystem. Tableau supports a large variety of data sources – including Microsoft products – but connectivity isn’t going to be as plug-and-play with Azure as Power BI is. In some cases, data preparation and transformation requires third-party software before Tableau can make the best use of it.”

Christie was all praise for Tableau’s support ecosystem.

Tableau’s community is engaged and resourceful, providing a wealth of knowledge and support. This can be incredibly valuable for troubleshooting, learning, and networking with other data professionals.”

Compare Power BI, Tableau and Qlik Sense Against Your Needs

Next Steps

The ideal BI tool depends on your unique requirements. We recommend signing up for free trials of your preferred products to see which best suits your team’s workflow and data challenges.

Planning ahead is a smart move. As data volumes and user demands evolve, consider how these tools plan to address future needs like Gen AI integration and decision intelligence.

Get our free software comparison report to evaluate leading BI platforms by feature.

What are your thoughts on this Power BI vs. Tableau vs. Qlik Sense comparison? Let us know in the comments below.

SME Contributors

Tim White

Tim White is the founder of MilePro, a platform that provides pro travel tips, deals, reviews, and hacks. Tim is also a seasoned IT sales executive with a broad functional background and a proven track record of developing and maintaining lasting, profitable business relationships in a complex sales environment.

Sturgeon Christie

Sturgeon Christie is the CEO of Second Skin Audio, a company that specializes in providing automotive noise control solutions. Since its inception in 2000, Second Skin Audio has established itself as an industry leader in automotive insulation and sound deadening. The company prides itself on producing a comprehensive range of high-quality, USA-made sound and heat insulation solutions.

Rafael Estrada

Rafael Estrada is the President and Founder of Estrada Consulting, Inc. (ECI). He has led the IT consulting organization to deliver top-tier IT solutions to government agencies and Fortune 100 corporations. Rafael holds an MBA from Sacramento State, and he actively participates in that university’s Professional Pathways Networking Program, where he offers business leadership mentoring to current students.

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Ritinder KaurPower BI vs. Tableau vs. Qlik Sense: Which BI Tool Is the Winner?

35 comments

Join the conversation
  • Tsubasa - December 9, 2021 reply

    The biggest issue with tableau is that tableau doesn’t have a sophisticated semantic layer, which means users must ask DBAs to solve circular reference. This could slow down your work. Since it doesn’t have a semantic layer, users create complex reporting logics at a reporting level. This could cause nightmare if a company uses same CRL in hundreds of thousands of reports and wants to make changes to the CRL. Another major issue is that Tableau is not good at creating detailed reports like ad hoc and scheduled reports. It only good for dashboards and maybe scorecards, which is consumed by mid level managers and CEOs
    I do not think tableau deserves the hype they get.

    On the other hands, Qlikview has the best semantic layer and it even can control both backend and front end in detail. Yes, it takes some time to understand QV but that’s why we need QV developers. In term of ETL and query performance, QV stands out because it uses in-memory. It’s more expensive than power BI and tableau but other than that, I think QlikView is the best.

    Ritinder Kaur

    Ritinder Kaur - December 30, 2021 reply

    Thank you for reading, Tsubasa! I checked, it seems Tableau does have a semantic layer in version 2020.2 and later. Please refer to their documentation:

    https://help.tableau.com/current/pro/desktop/en-us/datasource_datamodel.htm

    You’re correct, Tableau isn’t built primarily for reporting, but it does support reporting, though the process is a bit roundabout. The Admin user can publish the data on the Tableau Server, then create a sample workbook with a sample report and publish it on the same server, and assign editor role to the user who will create the reports.

    As for scheduled reports, Tableau offers a subscription service that emails users an image or PDF of a view or workbook at regular intervals without needing to sign into Tableau Server or Tableau Online.
    And, as you mentioned, QV definitely has some great features too. I look forward to seeing how these solutions evolve in the next few years!

  • Max - September 8, 2021 reply

    PowerBI cannot connect to SAS. One of the major statistical software companies (which can handle massive amounts of data). This has been a request for PowerBI users. The ability to connect to SAS and Microsoft (who by the way has a partnership with SAS), has refused. Microsoft’s response is to have SAS push out the data to a SQL Server. They don’t understand is the companies that use SAS have extremely large datasets in which SQL Server is not a good fit.

  • AQILAH - July 5, 2021 reply

    Which one are the best for auto triggering and have a feature like Statistical Process Control (SPC)?

  • Benjamin Kamau - October 20, 2020 reply

    I really think that comparing to Qlik View rather than Qlik Sense (which is Qlik Tech’s Enterprise version, that does do white-labelling, etc.) missed a trick… would be great of you updated to compare to Qlik Sense!

    Hsing Tseng - October 20, 2020 reply

    Hi Benjamin,

    Thank you for the suggestion! We will be taking that into consideration moving forward with our research and hope to write an in-depth comparison of these products to Qlik Sense as well.

    Thank you for reading and leaving a comment!

  • Addend Analytics - August 27, 2020 reply

    Great explanation, all answers to questions about PowerBI has been well explained. Thank you for sharing!

    Hsing Tseng - August 28, 2020 reply

    Thank you for reading and commenting!

  • David Spree - May 24, 2020 reply

    Ive used QlikView for 10 years and PowerBI for 3.
    Qlik is far far better than PBI at building the UI …
    Try hiding/showing a visual in PBI based on user selections
    Or having a line chart where a single line changes colors based on on its value.
    Or dynamically including a dimension in a chart.
    You can’t. Or if you can they involve huge kludges …

    PBI MQuery is fine, and DAX is great.
    But the PBI chart/visualization is like a toy compared to Qlik.

  • Alex - April 7, 2020 reply

    Read this carefully. Just one question to author. Why you compare QlikView with competitors? Do you know about Qlik Sense? If not, I recommend to compare the new modern product instead of QlikView. The article looks like comparizon the Windows 3.11 vs Windows 10 or MacOS or Ubunutu 18.

    Hsing Tseng - April 27, 2020 reply

    Thank you for your thoughtful comment! We do have Qlik Sense in our product directory here: https://www.selecthub.com/business-intelligence-tools/qlik-sense/. This article compares QlikView, which is still a supported product by Qlik Technologies, but you are right that Qlik Sense is the more current offering. We’ll assess the differences between Qlik Sense and Qlik View to determine how to improve our comparisons moving forward and see what we can write about it in the future.

  • Manjusha quadras - January 17, 2020 reply

    can we use the PowerBi report server for the real-time dashboard and how?

    Hsing Tseng - January 20, 2020 reply

    Hello Manjusha!

    Yes, you can.
    You can see how on Microsoft’s site here.

    Thank you for reading!

  • Mike - May 22, 2019 reply

    This is a rather impressive (though not without Errors and Inaccuracies) PR post on behalf of Tableau.

    One Question, if I may? SAP starts at $55,000 a year? What does that relate to? It certainly is NOT representative of SAP BusinessObjects or SAP Crystal Server (2016).

    If I might suggest a revisit good old reliable and secure BoBj. On June 19, SAP’s Maheshwar Singh will introduce the new features and enhancements included in BI 4.3, with a focus on technical changes, including updates to third-party components and the operating system. And maybe you can do an article after? You are a good writer. Good structure and engaging.

  • Jai - April 21, 2019 reply

    Hi

    Do the three tools readily connect with Mongo Databases?
    Regards

    Bergen Adair - April 22, 2019 reply

    Thanks for reading Jai! Both platforms do connect with MongoDB. Here are some instructions for doing so:
    Tableau
    QlikView

  • Alex R - April 18, 2019 reply

    In my opinion, Qlik is the one to be considered for the next 2 years, since is gaining a lot of inertia, because lately it developed it’s Qlik Core on Linux and bought CrunchBot in February 2019, that is specialized in AI-powered natural language … that is one next step in the Analytics domain.

    Bergen Adair - April 22, 2019 reply

    Thanks for reading and contributing your input Alex! Qlik definitely has some great features, this analysis is a simple feature-by-feature breakdown performed by our analysts. I look forward to seeing how both advance in the next few years!

  • han - February 12, 2019 reply

    I honestly don’t know what the author means about Microsoft have more integration abilities than Tableau. It doesn’t – that’s the reason why I don’t choose Microsoft – because it’s so Microsoft heavy. First of all you need to run the desktop on windows, 2nd if you need to publish the report to the server to share with others, you’ll need the ability to refresh the data. The only way you can do it is through gateway. That only runs on Windows!

    Kim O'Shaughnessy - April 5, 2019 reply

    Hi Han,

    Firstly, apologies for the delayed response. We had our analyst team look into this to make sure you got the most up-to-date version of the information you needed. We found that Microsoft Power BI offers support for 100+ data connectors including SAP HANA, Hadoop, Google BigQuery, Google Analytics and more. It’s well integrated with Microsoft’s portfolio products, including its Azure cloud platform. It also offers more than 180 custom connectors to build workflows, apps, and integrations with Azure Logic Apps, Microsoft Flow, and PowerApps.
    Tableau supports 70+ connectors but connects with many more varieties of data sources as compared to MS Power BI.

    Hopefully that provides some insight for you!

  • Miguel - September 3, 2018 reply

    Can you please elaborate on what you mean by “a weak point of Tableau is its lack of regulatory compliance support”? In what context / from what perspective? thanks

    Alainia Conrad

    Alainia Conrad - September 19, 2018 reply

    Hi Miguel. We double checked this information for you and updated the article. Thank you for your comment!

  • Chris - January 26, 2018 reply

    None. Sorry to be blunt. The idea of pure visualization and analytics tools without feedback loops into processes (So called Insight only tools) is just not enough. Most application based analytics are now embedded anyway (especially in the cloud). So process improvement (insight to action), corporate steering, value driver trees, rules engine, machine learning, big data learn,business partner integration, learn and burn scenarios all find very little value in a stand alone analytics tool. Time to move into ML, Advanced Statistics and most importantly Data streaming and data quality (all 5 dimensions). The above vendors all have little to add until they can integrate into the “action part” of insight to action. Most are being ripped out anyway due to lack of Governance and high cost. Expect more from your data asset than some pretty story boards and graphs. Think what you need to move from Insight to Action: Alignment, Context, Relevance, Specificity, Change, Monitoring/Clarity of impact. None is available in the tools mentioned here as far as i can tell. All they do is break the key paradigm for digital: Do not replicate data if at all possible, and never break the link to live data.

    Michael Shearer - January 26, 2018 reply

    Chris, thank you for the insightful reply. Are there tools you’d recommended that meet the criteria you’ve outline?

    Abhi - April 30, 2019 reply

    Sorry to be blunt, but you seem to know nothing about operational analytics. For insight to action, you can always design your dashboard to show what actions you need to take next using the data. You can’t always jump into ML, Advanced Statistics without knowing how to actually design your data model.

    John - August 17, 2020 reply

    Eh. As technical guy your ideas sound strange, complex and unnecessery.

    First of all, the feedback loop. You read data from ERP, like MS Dynamics, you don’t feed data to ERP with BI tool. You feed data to ERP with ERP, mostly. If example is MS Dynamics then there’s a set of tables underlying ERP. What you input is restricted by these tables. “Based on data we don’t need to do maintenance every 2 week for this machine, this other machine still needs it.” This is relatively hard to input to ERP, easiest way to execute this is to change maintenance schedule wich might not be in ERP. You can solve this by doing what current BI tools allow, write a note. “This customers margin is too low, there needs to be actions.” How on earth you input this to ERP?

    Second, ML (machine learnign), Advanced Statistics, etc. These are fun words, buzzwords, but their meaning is relatively small. Many companies don’t have any BI tools, they are still on Excel and ERP combo. Also you can’t just throw data to ML algorithm and expect it to tell all the answers. You still need way to know if you are on budget.

    Third. “Never replicate data if possible and never break the link to live data.” It’s little hard to know where to start. For mostly data isn’t replicated for fun, it’s replicated for a purpose. Link to live data? What? In most cases live data is totally irrelevant. What does that even mean? If you have over 200 retail stores you don’t do anything with their live data. Another way is to use really much money. With over 200 retail stores data is generated several gigabytes per day. If you want history, meaning in this case month old data then you have really hard time combining it with ‘live data’. Most business people want to analyze what their business is doing on year, month, week, not what they are doing 1 minute ago. Same in production. If you have many factories then you just have so much happening that it’s meaningles to look to ‘now’. It’s meaningfull for factorys production manager, etc, but they usually use ERP for that. They use BI tools to notice anomalies and trends over time. This same applies to all businesses doing B2C, there’s just too much data. And yes, I’ve built application that used 400GB memory to analyze data.

  • Nelly - May 10, 2017 reply

    There is a lot of business out there for Tableau and it’s relatively easy to learn.

  • sivabonu - November 15, 2016 reply

    Currently Iam working as Congnos BI developer. I wanna change my career . Can any one suggest me Which one is best in the market now Tableau/Qlikview/MSBI/IBM Cognos BI.

    Lukas - November 17, 2016 reply

    I would suggest you to go with QlikView, because it is becoming very popular nowadays, but Tableau is also good choice considering complexity and versatility of this tool. Hope it helps a little bit.

    dshi - December 20, 2016 reply

    Try MicroStrategy.

    Tim Jevon - March 12, 2017 reply

    Hi Sivabonu,

    Though I cannot confirm a definitive answer as to “which is best” I have a friend who was a very senior Cognos consultant that recently moved to Tableau and my impression is that he’s very happy to have made the move!

    I firmly believe that the future will be dominated by Tableau, Qlikview or PowerBI; Tableau has the market share and ease of use, PowerBI has the advantage of the native Microsoft integration….

    Best of luck with your career

    Chandru - September 27, 2017 reply

    Currently I am working as Business analyst . I want to change my career . Can any one suggest me Which one is best in the market now Tableau/Qlikview/Powe BI.

    Gungadin - December 3, 2017 reply

    Sivabonu,
    Given your background in Cognos BI, you can easily learn any of the 3-4 tools you have asked about especially Qlikview and MS Power BI. But do know that learning new BI tools does not maketh a “new career” for a BI developer, it’s called “keeping up”.

  • Poke Mongo - August 16, 2016 reply

    Much thanks! This a astounding web site!

  • Dylan - July 29, 2016 reply

    Tableau equals expensive glitter.

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