Alteryx vs Dataiku comparison

Cancel
You must select at least 2 products to compare!
Alteryx Logo
12,334 views|7,198 comparisons
88% willing to recommend
Dataiku Logo
9,109 views|7,135 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Alteryx and Dataiku 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 Alteryx vs. Dataiku 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
"It is efficient in optimizing our ability to get information.""It helps clean messy data and provides spatial analysis.""Good data transformation.""Alteryx is a low-code platform, and that's the biggest reason why we chose it.""The filtering is fast, and it provides a search tool that is great.""The support is very good.""Geo features have made spatial mapping large retail universes possible.""The scheduling within the solution is excellent."

More Alteryx Pros →

"The most valuable feature is the set of visual data preparation tools.""I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person.""Cloud-based process run helps in not keeping the systems on while processes are running.""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.""If many teams are collaborating and sharing Jupyter notebooks, it's very useful.""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.""The solution is quite stable."

More Dataiku Pros →

Cons
"In the database, it should be more functional and connect to more big data, especially using IPI.""Alteryx is just as complicated as coding, in my opinion.""They should make the solution user-friendly for nontechnical people by giving specific names to the options.""The data integration component could most likely be improved to increase enterprise scalability.""I honestly can't think of anything that needs to be improved.""It should have Linux support. It currently supports only Windows. It does not support any other platform. Its price should also be lower. Their US partner management program is actually unresponsive. One of the reasons why we don't have a formalized partnership plan with them is because their partner management team is atrociously unresponsive. This is something that they need to change.""If there is any way to make the learning curve less steep, that would be ideal.""The screen when you are looking into your workflows and your ETL processes needs to be improved. You cannot manage it very well."

More Alteryx Cons →

"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.""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.""Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days).""The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective.""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."

More Dataiku Cons →

Pricing and Cost Advice
  • "A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."
  • "​Very transparent.​"
  • "The seat is too expensive."
  • "It can be a bit pricey, especially after the first year."
  • "The pricing is $5000 per year per production license."
  • "We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
  • "There are some implementation services and internal effort costs at the beginning but there is nothing else."
  • "The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."
  • More Alteryx 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 →

    report
    Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
    771,740 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
    Top Answer:Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this It can handle over 2 billion rows of… more »
    Top Answer:I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. -… more »
    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 »
    Ranking
    3rd
    Views
    12,334
    Comparisons
    7,198
    Reviews
    29
    Average Words per Review
    513
    Rating
    8.2
    11th
    Views
    9,109
    Comparisons
    7,135
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    KNIME logo
    Compared 14% of the time.
    Databricks logo
    Compared 9% of the time.
    RapidMiner logo
    Compared 7% of the time.
    Microsoft Power BI logo
    Compared 6% of the time.
    Tableau logo
    Compared 5% of the time.
    Databricks logo
    Compared 35% of the time.
    KNIME logo
    Compared 13% of the time.
    RapidMiner logo
    Compared 9% of the time.
    Amazon SageMaker logo
    Compared 5% of the time.
    Also Known As
    Dataiku DSS
    Learn More
    Overview

    Alteryx can be used to speed up or automate your business processes and enables geospatial and predictive solutions. Its platform helps organizations answer business questions quickly and efficiently, and can be used as a major building block in a digital transformation or automation initiative. With Alteryx, you can build processes in a more efficient, repeatable, and less error-prone way. Unlike other tools, Alteryx is easy to use without an IT background. The platform is very robust and can be used in virtually any industry or functional area.

    With Alteryx You Can:

    • Prep, blend, and analyze data
    • Deliver faster, better business outcomes
    • Automate analytics and data science
    • Embed intelligent decisioning
    • Deploy and share analytics in hours

    Alteryx Features Include:

    Some of the most valuable Alteryx features include:

    Scalability, stability, flexibility, fast performance, no-code analytics, data processing, business logic wrapping, scheduling, ease of use, data blending from different platforms, geo-referencing, good customization capabilities, drag and drop functionality, intuitive user interface, connectors, machine learning, macros, simple GUI, integration with Python, good data transformation, good documentation, multiple database merging, and easy deployment.

    Alteryx Can Be Used For:

    • Combining and manipulating data within spreadsheets: Alteryx can be used in situations where complex data manipulation occurs. It can handle large data quickly, and the process is much simpler to see and understand.

    • Database access and supplementing SQL development: Alteryx has several sets of database connectors and functions, including many functions that your average database does not. Alteryx can work with data from multiple databases or areas within a database. It allows users to filter, sort, calculate, etc. as they would commonly do in SQL or an ETL tool.
    • API, cloud, and hybrid access: Alteryx can read and write data in databases, files, REST APIs, and a myriad of other locations (with the correct permissions). When a workflow is published, you can also call a workflow through a REST API to start it.

    • Data science: Alteryx provides pre-built models that are extremely useful for data scientists who may have limited programming skills and also gives you the ability to add R or Python code directly within a workflow.

    • Geospatial analysis: Alteryx gives users drag-and-drop tools to geocode, plot, and map locations, customers, competitors, or anything that has a location (employee, truck, pipeline, etc.).

    • Reports and dashboards: Alteryx provides built-in tools that enable the building of reports and dashboards.

    Alteryx Benefits

    Some of the benefits of using Alteryx include
    :

    • Saves time: Alteryx helps shorten the time required to start analyzing data and looking for insights, minimizing the tasks that do not add value to the business and maximizing the analysis phase.

    • Clear tool configurations: Alteryx provides simple and concise tool configurations that are quick and easy to set.

    • Excellent workflow compatibility.

    • Reduced development time: Alteryx has an extensive gallery of user-developed analytic applications that helps to reduce development time.

    • Fast data loading: Alteryx has tools that make it very effective when working with big data sets.

    • No-code, low-code analytic building blocks: You can prep, blend, and analyze data to enable highly configurable and repeatable workflows.

    • Machine learning: Alteryx allows you to quickly create properly trained algorithms that are ready to deploy.

    Reviews from Real Users

    "Automation is the most valuable aspect for us. The ability to wrap business logic around the data is very helpful." - Theresa M., Senior Capacity Planner at a financial services firm

    "Alteryx has made us more agile and increased the speed and effectiveness of decision making." - Richard F., Director, Digital Experience & Media at Qdoba Restaurant Corporation

    "The scheduling feature for the automation is excellent." - Data Analytics Engineer at a tech services company

    "The product is very stable and super fast, five-star. It's significantly more stable than its nearest competitor." - Director at a non-tech company

    “A complete solution with very good user experience and a nice user interface.” - Solutions Consultant at a tech services company

    "There are a lot of good customization capabilities." - Advance Analytics PO at a pharma/biotech company





    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.

    Sample Customers
    AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
    BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
    Top Industries
    REVIEWERS
    Computer Software Company15%
    Manufacturing Company11%
    Financial Services Firm11%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm22%
    Manufacturing Company10%
    Computer Software Company9%
    Retailer6%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Educational Organization14%
    Manufacturing Company8%
    Computer Software Company8%
    Company Size
    REVIEWERS
    Small Business33%
    Midsize Enterprise15%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise74%
    REVIEWERS
    Small Business57%
    Large Enterprise43%
    VISITORS READING REVIEWS
    Small Business12%
    Midsize Enterprise19%
    Large Enterprise68%
    Buyer's Guide
    Alteryx vs. Dataiku
    May 2024
    Find out what your peers are saying about Alteryx vs. Dataiku and other solutions. Updated: May 2024.
    771,740 professionals have used our research since 2012.

    Alteryx is ranked 3rd in Data Science Platforms with 74 reviews while Dataiku is ranked 11th in Data Science Platforms with 7 reviews. Alteryx is rated 8.4, while Dataiku is rated 8.2. The top reviewer of Alteryx writes "Feature-rich ETL that condenses a number of functions into one tool". On the other hand, the top reviewer of Dataiku writes "The model is very useful". Alteryx is most compared with KNIME, Databricks, RapidMiner, Microsoft Power BI and Tableau, whereas Dataiku is most compared with Databricks, KNIME, RapidMiner, Microsoft Azure Machine Learning Studio and Amazon SageMaker. See our Alteryx vs. Dataiku 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.