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Anaconda Business vs Dataiku comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 2, 2025

Review summaries and opinions

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

ROI

Sentiment score
6.0
Anaconda Business boosts productivity and cost savings by reducing downtime, errors, and environment issues, enhancing efficiency.
Sentiment score
5.4
Dataiku enhances efficiency, compliance, collaboration, and development speed, though financial benefits remain unclear without a pricing change.
Everyone being able to work smoothly without unnecessary delays.
tester at a tech vendor with 10,001+ employees
I have seen a return on investment; specifically, when we talk about efficiency, it's both time-saving and money-saving.
Product managaer at Zidio development
I have seen a return on investment with time saved by 50% and less downtime, allowing the team to deliver projects faster with fewer errors.
Analyst at Tata consultancy services
The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.
Cognitive Business Operation at a consultancy with 10,001+ employees
I consider the return on investment with Dataiku valuable because for us, it is one single platform where all our data scientists come together and work on any model building, so it is collaboration, plus having everything in one place, organized, having proper project management, and then built-in capabilities which help to facilitate model building.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
In terms of ROI, the use of Dataiku simplifies the architecture of customers, which helps them to decommission some of their existing tools;
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
 

Customer Service

Sentiment score
5.2
Anaconda Business customer service is well-aligned with user needs, offering helpful but occasionally delayed support and strong community resources.
Sentiment score
5.8
Dataiku's customer service is praised for responsiveness and expertise but criticized for inconsistency and slow issue resolution.
Anaconda Business customer support is very active with a quick response time.
System Engineer at a tech vendor with 10,001+ employees
Overall, support was reliable when we needed it, just not super-fast every single time.
tester at a tech vendor with 10,001+ employees
The customer support for Anaconda Business provides a better approach.
Product managaer at Zidio development
Dataiku partners with local industry experts who understand the business better and provide support.
Data Science Lead at a mining and metals company with 10,001+ employees
The support team does not provide adequate assistance.
Cognitive Business Operation at a consultancy with 10,001+ employees
They should not take the complaints so lightly.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
 

Scalability Issues

Sentiment score
7.0
Anaconda Business provides scalable solutions for diverse needs, offering smooth environment management and adaptability for growing user demands.
Sentiment score
6.2
Dataiku is scalable, integrates with cloud platforms, but some users find room for improvement and are concerned about licensing costs.
As more environments or users get added, it still runs smoothly without major slowdowns.
tester at a tech vendor with 10,001+ employees
Anaconda Business scales very well because it is built around centralized environment and package management.
System Engineer at a tech vendor with 10,001+ employees
Anaconda does not have scalability restrictions as it depends on the type of machine running it.
VP Product at Medint
Dataiku is quite scalable, as long as I can pay for more licenses, there is no technical limitation.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
 

Stability Issues

Sentiment score
7.5
Anaconda Business is reliable for data science, with stable performance, minimal downtime, improved management, despite minor delays.
Sentiment score
7.0
Opinions on Dataiku's stability vary, with some reporting issues, while others find it stable under proper management.
Earlier, setting up or troubleshooting conflicts could take anywhere from thirty minutes to an hour, but now most setups just work.
tester at a tech vendor with 10,001+ employees
In terms of stabilization, if my data has no outlier creation in the raw data, then it is quite stable.
Data Scientist at Ericsson
As for stability and reliability, so far so good; after the installation, I really had no problems.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
 

Room For Improvement

Anaconda Business needs better OS support, intuitive interface, documentation, language options, cloud integration, security, and stability improvements.
Dataiku needs improvements in stability, usability, integration, cost-efficiency, and features for smaller teams and non-IT users.
It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much.
tester at a tech vendor with 10,001+ employees
They should enhance the security point of view; it's good, but it needs some more advanced features.
Product managaer at Zidio development
The pricing should be a little lower for a single person to use, as it might be affordable for an organization, but for my single use, it is difficult.
Product Engineer at a tech vendor with 10,001+ employees
Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
The license is very expensive.
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.
Big Data Consultant at a computer software company with 1,001-5,000 employees
 

Setup Cost

Enterprise users are satisfied with Anaconda Business's value, despite some finding the paid version slightly costly for high-demand tasks.
Dataiku's pricing ranges from €20 to €40 annually per key, seen as affordable or expensive depending on budgets.
Anaconda is an open-source tool, so I do not pay anything for it.
VP Product at Medint
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
Automation Test Engineer at Tata Consultancy services Limited
My experience with pricing, setup cost, and licensing indicates that it is a bit costly, but it is useful.
Analyst at Tata consultancy services
There are no extra expenses beyond the existing licensing cost.
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies.
Big Data Consultant at a computer software company with 1,001-5,000 employees
The pricing for Dataiku is very high, which is its biggest downside.
Cognitive Business Operation at a consultancy with 10,001+ employees
 

Valuable Features

Anaconda Business excels in library support, package management, and security, making it ideal for scalable, efficient data science.
Dataiku enhances workflows with visual tools, supports multiple languages, and integrates easily with cloud platforms for efficient data management.
Anaconda Business has positively impacted my organization because, when discussing the security point of view, it's exceptional; when comparing it to other solutions, Anaconda Business is superior.
Product managaer at Zidio development
We find the advanced security, governance, and collaborative features for organizations using Python and R particularly useful.
Product Engineer at a tech vendor with 10,001+ employees
Anaconda Business positively impacts our organization by protecting us from compliance and security risks while keeping the environment consistent, allowing our team to focus on insight and innovation instead of worrying about setups, security, and software issues.
Analyst at Tata consultancy services
This feature is useful because it simplifies tasks and eliminates the need for a data scientist.
Data Science Lead at a mining and metals company with 10,001+ employees
Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models because it is a drag-and-drop platform.
Big Data Consultant at a computer software company with 1,001-5,000 employees
It offers most of the capabilities required for data science, MLOps, and LLMOps.
Cognitive Business Operation at a consultancy with 10,001+ employees
 

Categories and Ranking

Anaconda Business
Ranking in Data Science Platforms
7th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
28
Ranking in other categories
No ranking in other categories
Dataiku
Ranking in Data Science Platforms
4th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
17
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of January 2026, in the Data Science Platforms category, the mindshare of Anaconda Business is 2.6%, up from 2.1% compared to the previous year. The mindshare of Dataiku is 8.0%, down from 12.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Dataiku8.0%
Anaconda Business2.6%
Other89.4%
Data Science Platforms
 

Featured Reviews

reviewer2775498 - PeerSpot reviewer
tester at a tech vendor with 10,001+ employees
Isolate environments and switch package versions efficiently for smoother testing workflows
Overall, it works well, but there are a few things that could be better. Sometimes the environment creation or package installation feels a bit slow, especially with bigger libraries. Another thing I would appreciate is a cleaner, more intuitive interface for managing environments. It works, but a smoother UI could make the workflow faster. It would also be nice to have clearer error messages when something fails, so it is easier to understand what went wrong without digging too much. The documentation could be a bit clearer, especially for troubleshooting specific errors or setup issues. Sometimes I need to search extensively to find the exact steps. Also, having quicker or more detailed support responses would help when something unexpected comes up. These are not major problems, but improving them would definitely make the overall experience smoother. One small improvement I would add is smoother integration with IDEs. It works fine right now, but having even tighter or more automated syncing with tools such as VS Code or PyCharm would make the workflow faster. Perhaps also a few more built-in examples or quick-start guides for common setups would be helpful. Nothing major, just things that would make the experience even more user-friendly.
PriyankaSharma3 - PeerSpot reviewer
Cdao/Global Head Of Data And Analytics at Givaudan Roure
Unified platform has accelerated model development and improved collaborative data science work
I think Dataiku could be improved or enhanced in future releases with more 'talk to my data' capabilities, maybe more NLP features, and maybe a platform to build agents. These improvements would benefit me and my processes because they will help us to continue using Dataiku as one platform; right now we are exploring other platforms for the features which are missing, and if they are available within the same platform, I think it will increase the usage of Dataiku further. I think the pricing and licensing of Dataiku is a bit expensive; it could be improved further, and I think they should have a different kind of licensing model as well.
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
11%
Manufacturing Company
8%
Computer Software Company
7%
Financial Services Firm
17%
Computer Software Company
9%
Manufacturing Company
9%
Energy/Utilities Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise2
Large Enterprise19
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise11
 

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?
My experience with pricing, setup cost, and licensing is that it is a little costly, but it is useful.
What needs improvement with Anaconda?
I am still becoming familiar with Anaconda Business tools after using them for only two years, so I am not utilizing Anaconda Business extensively in data analysis and data science projects yet. I ...
What is your experience regarding pricing and costs for Dataiku Data Science Studio?
I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies. However, it is a pricey solution and I primarily recommend it to bigger companies.
What needs improvement with Dataiku Data Science Studio?
I do not see anything that I would improve or enhance in Dataiku at this time; overall, it is a good tool to incorporate and to suggest to customers. Currently, I do not see anything specific that ...
What is your primary use case for Dataiku Data Science Studio?
We are a consulting firm for BFSI customers for the FSI value chain use cases, which is what we use Dataiku for, based on the problem statement the customer comes up with.
 

Comparisons

 

Also Known As

No data available
Dataiku DSS
 

Overview

 

Sample Customers

LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Find out what your peers are saying about Anaconda Business vs. Dataiku and other solutions. Updated: December 2025.
880,255 professionals have used our research since 2012.