--- title: "Dataiku Software Pricing, Alternatives & More 2026 | Capterra" description: "With the help of Capterra, learn about Dataiku Software - reviews, pricing plans, popular comparisons to other Data Analysis products and more." source_url: "https://www.capterra.com/p/142192/Data-Science-Studio-DSS/" page_type: "product" language: "en" --- # Dataiku Software Review 2026: Features, Integrations, Pros & Cons Last updated on July 21, 2026 Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team. [Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[FAQs](#faqs)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews) Dataiku ## What is Dataiku? From analytics at scale to enterprise AI, Dataiku connects people, technologies, and processes to remove roadblocks along the data journey. With a centralized, controlled environment thats a common ground for data experts and explorers alike, Dataiku provides a shortcut to deployment and model management for a data-powered company. ## What is Dataiku used for? [Data Analysis](https://www.capterra.com/data-analysis-software/)[Machine Learning](https://www.capterra.com/machine-learning-software/)[Predictive Analytics](https://www.capterra.com/predictive-analytics-software/) Overall rating Based on 13 user reviews Reviews sentiment Positive \- Neutral \- Negative \- Starting price $0.01 Per Year Free trial available Includes Free Version Capterra Shortlist charts the highest-rated and most popular products... Our "Best of" badge program showcases products with the highest ratings... Our "Best of" badge program showcases products with the highest ratings... Do you work for Dataiku?[Manage this product listing](https://digitalmarkets.gartner.com/get-listed/claim-bx?url=http://www.dataiku.com/&name=Dataiku) ## Compare with a popular alternative Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status. ### Dataiku 4.6 (13) VS. [### Ficstar](https://www.capterra.com/p/102189/Ficstar/) [4.8 (20)](https://www.capterra.com/p/102189/Ficstar/#reviews) Starting Price $0.01 Per Year Starting Price $1000 Per Feature, One Time Free Trial Free Version Pricing Options Free Trial Free Version Ease Of Use 4.5 (13) Ease Of Use 4.9 (20) Value For Money 4.3 (6) Value For Money 4.3 (20) Customer Service 4.4 (9) Customer Service 4.3 (20) ## Dataiku alternatives [XLSTAT](https://www.capterra.com/p/119448/XLSTAT/) [4.7 (398)](https://www.capterra.com/p/119448/XLSTAT/reviews/) Starting price $295.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 97% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/119448/XLSTAT/) [Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/) [4.7 (2,312)](https://www.capterra.com/p/268690/Google-Cloud-Platform/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 96% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/268690/Google-Cloud-Platform/) [Anaconda](https://www.capterra.com/p/191760/Anaconda/) [4.6 (86)](https://www.capterra.com/p/191760/Anaconda/reviews/) Starting price Contact vendor for pricing Pricing Options Free Trial Free Version User Rating 95% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/191760/Anaconda/) Highest Rated [Grepsr](https://www.capterra.com/p/176555/Grepsr/) [4.8 (85)](https://www.capterra.com/p/176555/Grepsr/reviews/) Starting price $350.00 Per User, Per Month Pricing Options Free Trial Free Version User Rating 100% of reviewers rated it above 4 stars [Learn More](https://www.capterra.com/p/176555/Grepsr/) [View all alternatives](https://www.capterra.com/p/142192/Data-Science-Studio-DSS/alternatives/) ## FAQs about Dataiku Overview ### Which roles and teams benefit most from Dataiku? Dataiku is most used by data scientists, analysts, consultants, and technical teams that build, prepare, and operationalize data workflows. Business leaders and controllers benefit from its dashboards and predictive models for decision-making, while engineers and IT consultants use it to automate pipelines, support collaboration, and scale analytics across organizations. Answer based on 12 reviews Overview ### What company size and specific industries is Dataiku built for? Dataiku is designed for companies of any size and across any industry, from small businesses to large enterprises. It fits organizations with varying levels of data expertise that want to turn raw data into predictions and use those insights to support business decisions. Features and Usability ### What are the key features of Dataiku? Dataiku offers data preparation, data import/export, data discovery, and data visualization for working with multiple data sources. It also includes machine learning, model training, predictive analytics, deep learning, and natural language processing, plus access controls/permissions, user management, workflow automation, and third-party integrations. Getting Started and Support ### What training and onboarding options does Dataiku offer? Dataiku provides in person training, live online sessions, webinars, and documentation to help teams get started. In person and live online formats support guided instruction, webinars offer broader product overviews, and documentation gives written reference material for self-paced learning and setup guidance. Getting Started and Support ### What customer support options does Dataiku offer? Dataiku provides email/help desk, FAQ/forum, knowledge base, phone support, and chat. With no reviewer feedback available on support experiences, support quality, response speed, and common pain points cannot be characterized here. ## Features AI summary Based on 3,887 Data Analysis reviews Not all Data Analysis products cover every must-have feature. Here is what Capterra reviewers flag as essential when choosing a solution: - **Multiple Data Sources** (**47%** of reviewers rated this feature as critical) - **Reporting/Analytics** (**47%**) - **Dashboard Creation** (**43%**) Dataiku supports **Multiple Data Sources** and **Reporting/Analytics**, so teams can bring together information from different systems and review performance insights in one place. However, it does not include **Dashboard Creation**. Instead, it offers **Data Visualization** (**43%**) and **Data Import/Export** (**42%**), which still give businesses useful ways to explore data and move information between tools, helping teams make informed decisions and maintain more consistent reporting workflows. Multiple Data Sources 5.0 (2) 50.00% of 2 reviewers that rated this feature as important or highly important Allows users to manage data from a number of sources Reporting/Analytics 4.0 (4) 50.00% of 4 reviewers that rated this feature as important or highly important View and track pertinent metrics to find patterns and gain insights from data Data Visualization 3.8 (6) 66.67% of 6 reviewers that rated this feature as important or highly important Graphical representation of data Data Import/Export 4.5 (2) 100.00% of 2 reviewers that rated this feature as important or highly important Import and export data to and from software applications Predictive Analytics 4.4 (7) 42.86% of 7 reviewers that rated this feature as important or highly important Predict future data based on historical data sets Data Discovery 4.3 (3) 66.67% of 3 reviewers that rated this feature as important or highly important Discover and connect variety of data sources to the application for analysis Dataiku 38 features ### All Features - Access Controls/Permissions: Define levels of authorization for access to specific files or systems - Activity Tracking: Track and document all activities across devices, networks, and other systems - API: Application programming interface that allows for integration with other systems/databases - Collaboration Tools: Provides a channel for team members to share AI models, media files, communicate, and work together - Configurable Workflow: Configure existing workflows to meet your organization's needs - Data Capture and Transfer: Import, collect, and capture data from multiple sources - Data Discovery: Discover and connect variety of data sources to the application for analysis - Data Extraction: Automatically retrieve and pull information from documents, websites, images, data sets, and other sources - Data Import/Export: Import and export data to and from software applications - Data Management: Ability to handle large datasets - Data Preparation: Transforming raw data to run it through machine learning algorithms to uncover insights or make predictions. - Data Storage Management: Manage and store data in a database - Data Visualization: Graphical representation of data - Database Support: Supports common databases such as MySQL and Oracle - Deep Learning: Artificial neural networks using multiple layers of processing are used to extract progressively higher level features from data. - For eCommerce: Intended to be used by online stores - For Healthcare: Software designed for the healthcare industry - For Sales Teams/Organizations: Caters to sales teams - Machine Learning: Enable businesses to implement machine learning algorithms on business data such as sales and revenue - ML Algorithm Library: Share, track, and store machine learning models and data. - Model Training: Process of testing an ML algorithm by feeding it training data to learn from - Monitoring: Observe and track the demand, usage, progress or quality of a system, product, or user - Multiple Data Sources: Allows users to manage data from a number of sources - Natural Language Processing: Process and analyze human language in text or audio form - Predictive Analytics: Predict future data based on historical data sets - Predictive Modeling: Analyzing historical and current data and generating a model to help predict future outcomes. - Reporting/Analytics: View and track pertinent metrics to find patterns and gain insights from data - Search/Filter: Search and filter data across systems to locate required information by entering keywords or certain criteria - Secure Data Storage: Securely stores data to prevent data loss or breaches - Self-service Analytics: Generate reports on your own without IT involvement - Sentiment Analysis: Categorize emotions expressed and identify if they are positive, negative or neutral - Statistical Analysis: Apply statistical/mathematical models to sets of data - Tagging: Attach digital tags to documents and assets for identification, search, or monitoring purposes - Templates: Sample files or documents that could be customized as needed or used as is - Third-Party Integrations: Set up connections to third-party platforms to improve business processes - User Management: Manage user accounts, profiles, roles, permissions, and other details across applications, devices or networks - Workflow Automation: Streamlining repetitive tasks and activities through automated and predefined workflows - Workflow Management: Create, design and manage workflows for repetitive tasks --- Get Advice We can help you find the software with the features you need. Features 4.5 (11) 4.5 Based on 11 reviews ## Pricing Value for money 4.3 (6) Free Trial Free Version [View pricing plan details](https://www.capterra.com/p/142192/Data-Science-Studio-DSS/pricing/) Basic $0.01 Per Year Value for money 4.3 (6) 4.3 Based on 6 reviews Connect with a Capterra advisor for a free 15-minute consultation Get a personalized software list aligned to your business needs with guidance from our expert advisors. Our team has helped 1 million+ businesses like yours find options that fit their needs. ## Support, customer service and training options Customer Service 4.4 (9) Support - Email/Help Desk - FAQs/Forum - Knowledge Base - Phone Support - 24/7 (Live rep) - Chat Training - In Person - Live Online - Webinars - Documentation - Videos Deployment - Web - Android - iPhone/iPad Typical users - Freelancers - Small businesses - Mid size businesses - Enterprises Customer Service 4.4 (9) 4.4 Based on 9 reviews ## User reviews Overall rating 4.6 Based on 13 reviews Filter by rating 5(8) 4(5) 3(0) 2(0) 1(0) Mentioned topic Sorted by most recent TM Terry M. Senior Analyst Mining & Metals ### "best for non-technical users to view result of coding" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 0.0 0.0 Likelihood to Recommend 8/10 May 8, 2025 Pros allow both technical users and non technical users to edit the data with code or simply excel style Cons the user interface to add pipelines are a but clunky, it is very easy to create a fat finger error Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. Grishma S. Data Scientist Chemicals ### "Review for Dataiku platform" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 4.0 4.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 March 15, 2024 Overall experience is great because it is a good platform for Data Scientists, Data Analysts and Researchers. It has ML and AI functionalities. Pros The flow in the Dataiku describes the process flow of the project easily. Scenarios and triggers are there for the automation process. Modeling is easier and shows the validations along with the results. Basic Visualizations can also be done in Dataiku. Cons Sometimes it has complexity in creating web applications and to integrate with other tools. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AM Attila M. Senior Controller Electrical/Electronic Manufacturing ### "Data modeling & transformation" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 10/10 July 7, 2023 Pros User-friendly interface makes it easy for non-technical users to build their own flows / infrastructure and automate processes. Also supports multiple languages. Cons Certain advanced functionalities within DI may still require a solid understanding of data science concepts and programming skills. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. JL Jaimy L. Data Scientist Marketing and Advertising ### "DataIku is making life easier" 5.0 Overall Rating 5.0 5.0 Ease of Use 3.0 3.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 8/10 February 14, 2023 Pros Truly makes your life and the one of your team easier! The biggest plus to this program is how over-viewable and de-cluttered. Biggest problem I used to face is having files all over the place, and reports all over the place. Now they can be made more quickly than ever before. Cons Personally, the amount of options can be overwhelming. Luckily, Dataiku does offer learning videos on how to use the platform, which I would highly recommend everyone to watch before diving into this platform. However, as mentioned before, it is easy to get lost in the amount of options there are available. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AN Anonymous User Engineer Information Technology and Services ### "データ加工やＡｕｔｏＭＬ機能が使いやすい" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 7/10 December 25, 2022 Pros ＧＵＩでパイプラインを構築でき、かつノードのグループ化を行うことができるので、画面１つでパイプラインの構築や改修ができる。 Cons ダッシュボード機能があまり充実しておらず、特に動的ダッシュボードがサポートされていない点が惜しい。このため、例えば新しい特徴量を追加しようとしたときは、事前に別のツールでデータ分析を行った上、このツールに組み込む必要があり、複数のツールを使う必要がある。 Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. AN Anonymous User Consultant Banking ### "Awesome software for Machine Learning" 4.0 Overall Rating 4.0 4.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 7/10 September 3, 2022 Overall the software is good and can be used for repetitive tasks with high accuracy. Only downside is the new data source connection and editing after the workflow is created Pros Data flows Automation is easy and efficient Data Discovery Cons Editing or connecting to a new data source is difficult Low visibility inside the flows Sometimes slow to work due to heavy workflow Switched from [SAS Enterprise Guide](https://www.capterra.com/p/253110/SAS-Enterprise-Guide/) To reduce the complexity of SAS programming Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. AN Anonymous User Decision Analytics Associate Management Consulting ### "Great Product for Data Science Enablement " 4.0 Overall Rating 4.0 4.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 7/10 April 30, 2022 The breadth of choices that one gets with the product is esstial for anyone transioning to get more data science enablement. This platform is great to have a streamlined and operational portfolio of all your data requirements. There are outages that might occur once in a while but the quick turnaround time ensures that work is not compromised Pros The ease of onboarding people onto the platfrom is seemless. In addition, Dataiku provides their own modules that help in getting accustomed to the product. The width of options that you get for analysis is also vast and might be a one stop solution for all data science needs Cons The least enjoyable expereince of this product has to be the outages that become frequent with each version revision. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. TW Tim W. IT-Consultant Information Technology and Services ### "(Predictive) data analysis comprehensible and manageable" 5.0 Overall Rating 5.0 5.0 Ease of Use 4.0 4.0 Features 5.0 5.0 Customer Service 0.0 0.0 Likelihood to Recommend 10/10 March 17, 2022 We had used Dataiku for first, in-house data analyses. This allowed us to assess the added value of predictive data analysis ("AI") in particular. Pros Getting started with the software is easy and the online tutorials are quite comprehensive. Even beginners relatively unfamiliar with the subject (similar to "Citizen Data Scientist") can get a good start with the tool. This is made possible primarily by the easy-to-understand graphical interface. The selection of machine learning algorithms met our requirements. Cons Dataiku is not yet so widely used. As a result, it is often more difficult to get help for specific problems or errors. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. Vivek S. Analytics Consultant Information Technology and Services ### "Dataiku - Future of Data Science Platform" 5.0 Overall Rating 5.0 5.0 Ease of Use 5.0 5.0 Features 5.0 5.0 Customer Service 5.0 5.0 Likelihood to Recommend 10/10 October 5, 2021 Whether the project requires data accumulation, or preprocessing, or data manipulation, or extracting business insights from data, Dataiku is the go-to platform. It covers end-to-end project execution and deployment along with providing API support. Pros time saving, useful for both coders and non-coders, allows for multi-user collaboration and monitoring, creating flowcharts help in maintaining granularity Cons It is in the early phase of its launch, 8 years old precisely. Hence, the customer support is not as widespread as other customer supports like stackoverflow, etc. Review source Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication. AN Anonymous User Consultant Information Technology and Services ### "Makes Advanced Analytics User Friendly" 4.0 Overall Rating 4.0 4.0 Ease of Use 5.0 5.0 Features 4.0 4.0 Customer Service 4.0 4.0 Likelihood to Recommend 9/10 April 21, 2021 Overall even at the high cost I would recommend this to enable business users since the value proposition is very good. Perhaps no other tool in the market that makes data analytics so accessible Pros Intuitive UI for business users to interact with data in an excel like fashion and still be able to run advanced analytics on the data sets. Collaboration is effective. Cons It is expensive for IT to implement. They have packaged easily open source available code but have put in a user friendly UI. Data processing charges are high compared to competition. Review source Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication. [View all Reviews](https://www.capterra.com/p/142192/Data-Science-Studio-DSS/reviews/) ## Top-rated software of 2026 ### Fill out the form and we'll send a list of the top-rated software based on real user reviews directly to your inbox. Popular comparisons [Anaconda vs Dataiku](https://www.capterra.com/compare/142192-191760/Data-Science-Studio-DSS-vs-Anaconda)