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Anaconda Business vs QlikView comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Anaconda Business
Average Rating
8.2
Reviews Sentiment
7.4
Number of Reviews
19
Ranking in other categories
Data Science Platforms (11th)
QlikView
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
162
Ranking in other categories
Reporting (5th), Embedded BI (4th)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Anaconda Business is designed for Data Science Platforms and holds a mindshare of 2.4%, up 2.1% compared to last year.
QlikView, on the other hand, focuses on Reporting, holds 4.4% mindshare, up 3.3% since last year.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Anaconda Business2.4%
Databricks14.5%
KNIME Business Hub12.3%
Other70.8%
Data Science Platforms
Reporting Market Share Distribution
ProductMarket Share (%)
QlikView4.4%
Microsoft Power BI24.3%
Tableau Enterprise20.6%
Other50.699999999999996%
Reporting
 

Featured Reviews

Rohan Sharma - PeerSpot reviewer
Provides all the frameworks and makes it easy to create environments for multiple projects
The best thing is that it provides all the frameworks and makes it easy to create environments for multiple projects using Anaconda. It is easy for a beginner to learn to use Anaconda. Comparatively, it is easier than using virtual environments or other environments because of the Conda environment. However, there are many things in Anaconda that people need to be aware of, so it can be challenging.
Arjun Meda - PeerSpot reviewer
Useful for data visualization and business intelligence
Many of the features in Qlik Sense need to be available and reintroduced in QlikView. I believe many of the features have been added to QlikView after the layout containers were introduced. QlikView used to be a way more customizable tool than Qlik Sense is in the present time. Improvements are required in the hide and unhide functionality that falls under the layout container feature that has been used in my company in recent times. Hiding off the apps in the app overview tab based on the access was a really good feature that needs to be introduced back in the product since I see that, at the moment, there are multiple groups on the tool, owing to which multiple changes on the QMC part is required to handle the solution. Only the person with access to the dashboard in QlikView could have a link to the dashboard through QlikView's hub or access points. With Qlik Sense, one can see whatever is available in the stream. If a user wants to control everything in the product, then there is no need to make multiple changes in the QMC at the individual app level. The aforementioned area can be considered to improve Qlik Sense.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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."
"It's interesting. It's user friendly. That's what makes it outstanding among the others. It has a collection of R, Python, and others. Their platform strategy has a collection of many other visualization tools, apart from Spyder and RStudio, which is really helpful for data science. For any data science professional, Anaconda is really handy. It has almost all the tools for data science."
"The solution is stable."
"It helped us find find the optimal area for where our warehouse should be located."
"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 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."
"Anaconda is an open-source platform that can integrate numerous other kits and models in one place."
"I can use Anaconda for non-heavy tasks."
"It is useful to use a tool like this to have a view of data at a point in time. You can extract and create little data sets that you can store, and then over time, you can have a view for tracking changes. Especially when you work with a relational database or a database that's a production database, the data is dynamic, but if you use QlikView, you can take a snapshot of different datasets. In your own time, you can then get insights and report, build, analyze, and draw whatever you need from the data, which is quite useful."
"Easy to analyze data by click-through."
"The scalability is there."
"QlikView is an excellent tool, though expensive compared to other BI tools, it provides ETL capability allowing the building of a complete data warehouse within Qlik Sense."
"The initial setup is not very complex."
"QlikView is a scalable solution that multiple users can easily use."
"Our Qlikview applications help us to get a good idea of our Client Base Performance and assist us in the decision making for Seasonal Specials. On the other hand QlikView helps us to get a grasp on our Suppliers and helps us to negotiate pricing with them."
"The most valuable aspect is its extensive library on Microsoft, providing a robust framework for implementation."
 

Cons

"The solution would benefit from offering more automation."
"It also takes up a lot of space."
"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."
"Anaconda can't handle heavy workloads."
"Anaconda could benefit from improvement in its user interface to make it more attractive and user-friendly. Currently, it's boring."
"I think that the framework can be improved to make it easier for people to discover and use things on their own."
"The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools."
"I think better documentation or a step-by-step guide for installation would help, especially for on-premise users."
"Scalability really depends on the size of your data and QlikView server architecture. For the biggest data sets, it could become an issue at some point."
"For me, it is important to have a mix, what is the "view" and what is the "sense", Qlik Sense. They have two tools, but for me it is important to have only one tool, which combines the functions that we have from one side and the other side."
"Sometimes, dealing with complex reports requires more effort, which could be really improved."
"The solution should be mobile-responsive. It should also include drag-and-drop and slice-and-dice features."
"QlikView's UI could be more user-friendly."
"There is no automation or drag and drop functionality."
"There's room for improvement in the area of management's handling of concerns."
"QlikView is probably on the pricier side than other BI tools."
 

Pricing and Cost Advice

"The licensing costs for Anaconda are reasonable."
"The tool is open-source."
"The product is open-source and free to use."
"Anaconda is free to use, but in terms of hardware costs, you might need heavy GPUs to run CUDA and other demanding tasks."
"My company uses the free version of the tool. There is also a paid version of the tool available."
"It's reasonably priced and falls on the more affordable side."
"My firm got the product at a cheap price, but in general, I believe that the product is a bit costly."
"It is expensive for small companies."
"The pricing is moderate, in the medium price range."
"I rate QlikView's pricing a five out of ten."
"It is quite expensive, rating at around nine out of ten on a cost scale."
"Pricing is a bit too high and I think licenses should be unlimited."
"On a scale of one to ten, where one being low price and ten being high price, I rate pricing a four."
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Comparison Review

it_user79932 - PeerSpot reviewer
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
8%
Insurance Company
7%
Financial Services Firm
12%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business10
Midsize Enterprise2
Large Enterprise10
By reviewers
Company SizeCount
Small Business73
Midsize Enterprise36
Large Enterprise75
 

Questions from the Community

What do you like most about Anaconda?
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.
What is your experience regarding pricing and costs for Anaconda?
Anaconda is an open-source tool, so I do not pay anything for it. It is compatible with every tool, regardless of whether it is open source or a paid package.
What needs improvement with Anaconda?
There is room for improvement, especially regarding deployment. The process could be streamlined as the number of actions needed to deploy is quite large compared to other tools.
What do you like most about QlikView?
If you correctly use the product for your use cases, it provides value for money.
What is your experience regarding pricing and costs for QlikView?
The license cost per user or per year for QlikView is about 500 Euros annually, and since we are South African-based, that needs to be multiplied.
What needs improvement with QlikView?
In QlikView, I believe the improvement that should be made is to bring the costs down, as you'll have to be competitive with Power BI, aiming for at least a 30% reduction to stop the hemorrhaging t...
 

Overview

 

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
Canon, Gatorade, Amcor, Panasonic, Fila, Cambridge University Hospitals, Global Retail Bank, North Yorkshire Police department, Lanoo Group Publishers, and AonGroep Nederland.
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: August 2025.
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