Dataiku vs RapidMiner comparison

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Dataiku Logo
9,109 views|7,135 comparisons
100% willing to recommend
RapidMiner Logo
5,569 views|4,500 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Dataiku and RapidMiner based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Dataiku vs. RapidMiner Report (Updated: May 2024).
771,740 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
"Cloud-based process run helps in not keeping the systems on while processes are running.""The solution is quite stable.""If many teams are collaborating and sharing Jupyter notebooks, it's very useful.""I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.""The most valuable feature is the set of visual data preparation tools.""Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors.""The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction.""Data Science Studio's data science model is very useful."

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"The GUI capabilities of the solution are excellent. Their Auto ML model provides for even non-coder data scientists to deploy a model.""RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. It can also connect to databases, allowing me to build models directly on the data stored there. RapidMiner offers a wider range of operators than other tools like Dataiku, making it a better option for my needs.""What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool.""The most valuable feature is what the product sets out to do, which is extracting information and data.""The most valuable features are the Binary classification and Auto Model.""RapidMiner for Windows is an excellent graphical tool for data science.""It's helpful if you want to make informed decisions using data. We can take the information, tease out the attributes, and label everything. It's suitable for profiling and forecasting in any industry.""The most valuable feature of RapidMiner is that it is code free. It is similar to playing with Lego pieces and executing after you are finished to see the results. Additionally, it is easy to use and has interesting utilities when preparing the data. It has a utility to automatically launch a series of models and show the comparisons. When finished with the comparisons you can select the best one, and deploy it automatically."

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Cons
"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days).""Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable.""Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku.""I think it would help if Data Science Studio added some more features and improved the data model.""I find that it is a little slow during use. It takes more time than I would expect for operations to complete.""There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders.""In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin.""The ability to have charts right from the explorer would be an improvement."

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"If they could include video tutorials, people would find that quite helpful.""In terms of the UI and SaaS, the user interface with KNIME is more appealing than RapidMiner.""RapidMiner would be improved with the inclusion of more machine learning algorithms for generating time-series forecasting models.""Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there.""The price of this solution should be improved.""It would be helpful to have some tutorials on communicating with Python.""In the Mexican or Latin American market, it's kind of pricey.""A great product but confusing in some way with regard to the user interface and integration with other tools."

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Pricing and Cost Advice
  • "The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."
  • "Pricing is pretty steep. Dataiku is also not that cheap."
  • More Dataiku Pricing and Cost Advice →

  • "I used an educational license for this solution, which is available free of charge."
  • "Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."
  • "The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."
  • "For the university, the cost of the solution is free for the students and teachers."
  • More RapidMiner Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Databricks and Dataiku are excellent Data Science platforms but have different strengths and weaknesses. Below is a comparison of the two products based on several parameters Cost It is… more »
    Top Answer:Hi, I am the founder of Actable AI so my answer may be biased. In terms of performance, it's Actable AI. Why? Because we leverage the best and latest open source technologies out there (AutoGluon… more »
    Top Answer:Dataiku is my choice as it's not bulky and the learning path for people like me (noobs in ML and data science) is not steep at all, so after a couple of pieces of training I feel very confident. Also… more »
    Top Answer:What I like about RapidMiner is its all-in-one nature, which allows me to prepare, extract, transform, and load data within the same tool.
    Top Answer:I would appreciate improvements in automation and customization options to further streamline processes. Additionally, it can be challenging to structure formulas and access certain metrics, requiring… more »
    Ranking
    11th
    Views
    9,109
    Comparisons
    7,135
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    6th
    Views
    5,569
    Comparisons
    4,500
    Reviews
    5
    Average Words per Review
    346
    Rating
    8.2
    Comparisons
    Databricks logo
    Compared 35% of the time.
    KNIME logo
    Compared 13% of the time.
    Alteryx logo
    Compared 13% of the time.
    Amazon SageMaker logo
    Compared 5% of the time.
    KNIME logo
    Compared 49% of the time.
    Alteryx logo
    Compared 12% of the time.
    Tableau logo
    Compared 8% of the time.
    IBM SPSS Modeler logo
    Compared 4% of the time.
    Also Known As
    Dataiku DSS
    Learn More
    Overview

    Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

    RapidMiner's unified data science platform accelerates the building of complete analytical workflows - from data prep to machine learning to model validation to deployment - in a single environment, improving efficiency and shortening the time to value for data science projects.

    Sample Customers
    BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
    PayPal, Deloitte, eBay, Cisco, Miele, Volkswagen
    Top Industries
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Educational Organization14%
    Manufacturing Company8%
    Computer Software Company8%
    REVIEWERS
    University40%
    Energy/Utilities Company7%
    Educational Organization7%
    Engineering Company7%
    VISITORS READING REVIEWS
    University12%
    Computer Software Company10%
    Educational Organization10%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Small Business57%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise19%
    Large Enterprise68%
    REVIEWERS
    Small Business45%
    Midsize Enterprise18%
    Large Enterprise36%
    VISITORS READING REVIEWS
    Small Business20%
    Midsize Enterprise14%
    Large Enterprise66%
    Buyer's Guide
    Dataiku vs. RapidMiner
    May 2024
    Find out what your peers are saying about Dataiku vs. RapidMiner and other solutions. Updated: May 2024.
    771,740 professionals have used our research since 2012.

    Dataiku is ranked 11th in Data Science Platforms with 7 reviews while RapidMiner is ranked 6th in Data Science Platforms with 20 reviews. Dataiku is rated 8.2, while RapidMiner is rated 8.6. The top reviewer of Dataiku writes "The model is very useful". On the other hand, the top reviewer of RapidMiner writes "A no-code tool that helps to build machine learning models ". Dataiku is most compared with Databricks, KNIME, Alteryx, Microsoft Azure Machine Learning Studio and Amazon SageMaker, whereas RapidMiner is most compared with KNIME, Alteryx, Tableau, Microsoft Azure Machine Learning Studio and IBM SPSS Modeler. See our Dataiku vs. RapidMiner report.

    See our list of best Data Science Platforms vendors.

    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.