Anaconda vs Qlik Sense comparison

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Anaconda Logo
2,704 views|2,040 comparisons
94% willing to recommend
Qlik Logo
5,426 views|3,310 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Anaconda and Qlik Sense based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: April 2024).
769,599 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.""The solution is stable.""The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.""The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results.""The documentation is excellent and the solution has a very large and active community that supports it.""With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages.""The most valuable feature is the set of libraries that are used to support the functionality that we require.""The notebook feature is an improvement over RStudio."

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"The associative searching and filtering capability is a unique feature among other BI tools, and one does not need to deeply understand the underlying data.""Showing a miniature version of the chart if the case chart is bigger than the screen resolution allows us to have full context at all times.""The Nprinting is useful.""It is extremely clean to view, easy to use, and intuitive to develop with. There are a host of online resources to provide assistance to new users.""The product is very stable.""The drag and drop functionality provides an easy and fast development approach.""The drag and drop UI has been the most useful to me.""Set analysis is great for its power user capabilities such as performing an IF on an aggregated column. The ability to create custom coloring expressions based on values is also a good idea although not as easy as I wished it was."

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Cons
"One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known.""One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together.""I think better documentation or a step-by-step guide for installation would help, especially for on-premise users.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""The solution would benefit from offering more automation.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database.""Having a small guide or video on the tool would help learn how to use it and what the features are."

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"Some of the charts are still a bit basic and screen rendering on different sized monitors can be an issue.""More options for the layout.""The only thing I would like to see is the ability to create a master app that opens when a user creates a new app that has all the master items, colors, logos, etc., that my organization uses. This would help with keeping master items the same across the apps and would make development a little quicker.""The next version should include more standard integrations.""Qlik Sense should have a conversion tool which automatically converts QlikView to Qlik Sense, so customers can easily migrate between the products of Qlik.""From the initial setup of the product we had some struggles getting connections to some of our databases to function, this indicated that some of the data extract drivers can be improved and addition of some of the older database engines need to be added in Qlik Sense.""The SaaS offering is being enriched quickly in order to attract new customers to that space and encouraging existing customers to make the switch. The Enterprise solution is therefore lagging behind SaaS in features.""Mostly when it comes to the loading of the data and reload times of the reports, it could be better."

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Pricing and Cost Advice
  • "The licensing costs for Anaconda are reasonable."
  • "The product is open-source and free to use."
  • "My company uses the free version of the tool. There is also a paid version of the tool available."
  • "The tool is open-source."
  • More Anaconda Pricing and Cost Advice →

  • "The solution is worth it."
  • "Understand the break over price point for switching to the Enterprise license."
  • "Licensing could be cheaper."
  • "Licensing: Review the named model and move towards a usage model (e.g., cores, memory, computers, API calls, etc.)."
  • "The cost is not bad considering the flexibility and support you receive from Qlik. I believe it is worth the cost."
  • "Start small with tokens. You can always buy more."
  • "Currently, our ROI is clear and concise decision-making. This timely addition will easily add $15 million to our bottom line in 2017."
  • "You will spend more time on educating your staff than licensing the product."
  • More Qlik Sense Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The tool's most valuable feature is its cloud-based nature, allowing accessibility from anywhere. Additionally, using Jupyter Notebook makes it easy to handle bugs and errors.
    Top Answer:Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring.
    Top Answer:It depends on the Data architecture and the complexity of your requirement Some great tools in the market are Qlik Sense, Power BI, OBIEE, Tableau, etc. I have recently started using Cognos… more »
    Top Answer:There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows:  1) If you have legacies of SAP, Oracle  - look for SAP… more »
    Top Answer:The most valuable features of Qlik Sense are its speed and seamless development of web technologies.
    Ranking
    13th
    Views
    2,704
    Comparisons
    2,040
    Reviews
    2
    Average Words per Review
    457
    Rating
    8.0
    2nd
    out of 71 in Data Visualization
    Views
    5,426
    Comparisons
    3,310
    Reviews
    22
    Average Words per Review
    567
    Rating
    8.6
    Comparisons
    Also Known As
    QlikSense
    Learn More
    Overview

    Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

    Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

    Qlik Sense is a visual analytics and business intelligence (BI) platform that gives users full control over their system’s data. From this platform they can control every aspect of their system data. It maximizes an organization’s ability to make decisions driven by their data.

    Benefits of Qlik Sense

    Some of the benefits of using Qlik Sense include:

    • Easily manipulate data: Qlik Sense allows users to easily combine and otherwise manipulate their system’s data. It allows them to create interactive visual representations of your datasets. The many different ways that the data can be represented offer many potential options for how to analyze the data. These choices enable users to easily gain critical insights.
    • Easily automate alerts and routine actions: Qlik Sense enables users to keep a close eye on their data. Automatic alerts that will notify them if their data changes in any way. Users don’t need expert knowledge of coding to create automated data-driven events. Users of all experience levels can take advantage of this benefit. Qlik Sense enables routine actions to be automated when necessary data insights will spur the system to take action. This combination of analytics and other tools empower users to take charge of their data.
    • Customize reporting: Users can set Qlik Sense to generate custom reports. These reports can also be customized to be shared by way of one of several methods, allowing users to control who sees their data and what they see.

    Reviews from Real Users

    Qlik Sense stands out among its competitors for a number of reasons. Two major ones are its associative analytics technology and its remote access capability. Qlik Sense employs an associative analytics engine that gives users the ability to take their data analytics to the next level. Users can create visual connections between different datasets spread across their network, creating deep insights that enable users to gain a full understanding of their data. This engine is easily scaled up to allow a large number of users to benefit from the deep insights that it provides. Users can access Qlik Sense from anywhere in the world. Qlik Sense has an online portal that can be used consistently from anywhere at all. Having the ability to remotely analyze data gives users flexibility when it comes to choosing how to deploy their manpower.

    Jarno L., the managing director of B2IT, writes, “The associative technology features are the solution's most valuable aspects. Qlik was the first company to implement an in-memory associative analytics engine. This basically means that all data is loaded into memory, but it also means that instead of joining data together, the data is associated together. From the front end, from the user interface point of view, data can be joined or included or excluded on the fly. It can be drilled down and drilled through and users can slice and dice it and that type of thing can be done from anywhere in the data to any other place in the data. It doesn't have to be predefined. It doesn't have to have hierarchies or anything like that.”

    Tami S., the senior business intelligence analyst at the La Jolla Group, writes, “With the changing business landscape, it is nice to access Qlik Sense through an external website. As an organization when we use QlikView Desktop, we need to connect to our internal network. We can access QlikView through the QlikView access point but the website has a little different look and feel than the desktop application. We appreciate that Qlik Sense is browser-based and the user experience is the same whether at home, in the office or on a boat. As long as the user has internet access, performance is the same.”

    Sample Customers
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    Abbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy'', Vodafone, Volvo
    Top Industries
    REVIEWERS
    Financial Services Firm27%
    Manufacturing Company18%
    Non Tech Company9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company9%
    Government9%
    Manufacturing Company6%
    REVIEWERS
    Financial Services Firm18%
    Manufacturing Company10%
    Retailer10%
    Healthcare Company10%
    VISITORS READING REVIEWS
    Educational Organization49%
    Financial Services Firm10%
    Computer Software Company6%
    Manufacturing Company5%
    Company Size
    REVIEWERS
    Small Business42%
    Midsize Enterprise5%
    Large Enterprise53%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    REVIEWERS
    Small Business20%
    Midsize Enterprise27%
    Large Enterprise54%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise54%
    Large Enterprise36%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    769,599 professionals have used our research since 2012.

    Anaconda is ranked 13th in Data Science Platforms with 15 reviews while Qlik Sense is ranked 2nd in Data Visualization with 112 reviews. Anaconda is rated 7.8, while Qlik Sense is rated 8.6. The top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". On the other hand, the top reviewer of Qlik Sense writes "Customizable with good ROI and a quick learning curve". Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Microsoft Power BI and IBM SPSS Statistics, whereas Qlik Sense is most compared with Tableau, Amazon QuickSight, Microsoft Power BI, Apache Superset and Alteryx.

    We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.