--- title: Dataiku Reviews meta_title: 'Dataiku Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 221 reviews by the users' company size, role or industry to find out how Dataiku works for a business like yours. aggregate_rating: rating_value: 4.4 review_count: 221 scale: '5' date_modified: '2026-07-12' parent_category: name: Generative AI url: https://www.g2.com/categories/generative-ai --- # Dataiku Reviews **Vendor:** Dataiku **Category:** [Generative AI Infrastructure Software](https://www.g2.com/categories/generative-ai-infrastructure) **Average Rating:** 4.4/5.0 **Total Reviews:** 221 ## About Dataiku Dataiku is the Platform for AI Success: the AI orchestration layer where enterprises build, deploy, and govern analytics, models, and agents at scale. It sits on top of the data platforms, clouds, and AI services you already use, working across all of them without locking you into any one. Dataiku expands who can build production AI, putting the right tools in the hands of data scientists and domain experts alike, from fraud analysts to demand planners. It orchestrates machine learning, rules, LLMs, and agents as one governed system, built on more than a decade of running production AI. Governance is part of the build rather than something bolted on afterward, so teams ship faster while keeping performance, cost, and risk under control. The result: AI that moves from experimentation to trusted, measurable execution now, not in 18 months. ## Dataiku Pros & Cons **What users like:** - Users love the **ease of use** of Dataiku, finding it simplifies ML development and data integration. (82 reviews) - Users appreciate the **easy learning curve and comprehensive training resources** of Dataiku, enhancing their ML development experience. (82 reviews) - Users appreciate the **user-friendly and intuitive interface** of Dataiku, making data collaboration and analysis effortless. (46 reviews) - Users appreciate the **easy integrations** in Dataiku, enabling seamless connections to various data sources and platforms. (43 reviews) - Users value the **productivity improvements** from Dataiku's centralized environment and intuitive, user-friendly features. (42 reviews) - Collaboration (41 reviews) - Users value the **wide range of integrations** in Dataiku, facilitating collaboration and diverse analytics capabilities. (40 reviews) - Performance (40 reviews) - Data Visualization (38 reviews) - Machine Learning (38 reviews) **What users dislike:** - Users find the **learning curve steep** , especially for advanced features, complicating the experience for beginners. (45 reviews) - Users find the **steep learning curve** of Dataiku daunting, especially for beginners seeking to use advanced features. (26 reviews) - Users experience **slow performance** with Dataiku, particularly when handling large datasets and complex scenarios. (24 reviews) - Users find that acquiring necessary knowledge for Dataiku's advanced features can be a **difficult learning** experience. (23 reviews) - Users find the **high licensing costs** of Dataiku to be a significant barrier for smaller teams and organizations. (22 reviews) - Complexity (20 reviews) - Users find the **complexity issues** in Dataiku's tools and documentation can hinder their overall experience. (20 reviews) - Users face **performance issues** that disrupt workflow, complicate data preparation, and limit access to plugins for testing. (19 reviews) - Missing Features (16 reviews) - Data Management Issues (14 reviews) ## Dataiku Reviews ### 1. Great **Rating:** 4.5/5.0 stars **Reviewed by:** Joseph L. | Ds, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** The workflows you can use in the platform **What do you dislike about Dataiku?** Nothing really. Sometimes it’s hard for staholders to use **What problems is Dataiku solving and how is that benefiting you?** Stakeholder issues with government ### 2. Dataiku proficient experience in DA **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Biotechnology | Enterprise (> 1000 emp.) **Reviewed Date:** March 28, 2025 **What do you like best about Dataiku?** Easy and quick to perform quick data analysis **What do you dislike about Dataiku?** Is very slow when the data is large. Hence, I don't use it when data is too large. **What problems is Dataiku solving and how is that benefiting you?** Quick data analysis, Data quality checks automation, dashboards, ### 3. A comprehensive platform - Dataiku **Rating:** 5.0/5.0 stars **Reviewed by:** VIJENDRA K. | Associate Director, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Ability to help technical and non-technical users alike **What do you dislike about Dataiku?** Slowness in handling extra large datasets **What problems is Dataiku solving and how is that benefiting you?** Cohort discovery, Licensing portal, bill analysis ### 4. Great platform for AI projects **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Government Relations | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Very easy to use and great layout. You can connect to various data sources. Good for integration with other platforms. **What do you dislike about Dataiku?** There is nothing that I dislike about it. **What problems is Dataiku solving and how is that benefiting you?** Great for going through document and summarize the content for the user to interrogate the documents and produce reports and make decisions. ### 5. User friendly interface **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I enjoy the ease of being able to perform quick, as hoc analyses within the platform **What do you dislike about Dataiku?** Some of the features are less intuitive so there’s a bit of a learning curve but it’s nice to have additional features often. **What problems is Dataiku solving and how is that benefiting you?** Dataiku helps with quick, easy questions and commonalities between multiple dataset ### 6. Excellent Tool & Fantastic Opportunities **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Excellent tool and rich features with a great user interface. **What do you dislike about Dataiku?** The ability to move flow zones and individual pieces/components around to better flows and management. **What problems is Dataiku solving and how is that benefiting you?** I am using it for data analytics and insights as well as data prep. I want to expand to use it for AI and agents. ### 7. Dataiku for Grad Student **Rating:** 4.0/5.0 stars **Reviewed by:** Akhilesh D. | Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** July 18, 2024 **What do you like best about Dataiku?** Dataiku's interface is intuitive and easy to navigate, making it accessible for students who are new to data science. The drag-and-drop functionality and clear visual representation of data pipelines help in understanding complex workflows. Even with limited coding experience, I was able to build robust data models and analytics pipelines with ease. **What do you dislike about Dataiku?** Can be resource-intensive, requiring robust hardware for optimal performance Advanced features might have a steep learning curve for beginners Pricing can be high for students and small projects **What problems is Dataiku solving and how is that benefiting you?** As an Indian student in the ML domain, I focus on solving business problems such as predicting consumer behavior to improve marketing strategies, performing sentiment analysis for brand monitoring, and optimizing SEO to enhance website visibility. I also work on fraud detection in online transactions, developing personalized recommendation systems to boost user engagement, and optimizing supply chain operations through predictive analytics. These solutions help businesses in the confectionery and CPG sectors drive growth and efficiency. ### 8. Beginner level soon replacing Alteryx with Dataiku **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** The ability to democratize data science by making it accessible to teams with varying technical backgrounds, simplifying data access, and enabling collaboration across different roles **What do you dislike about Dataiku?** Challenging to replicate or apply data preparation pipelines in a straightforward manner **What problems is Dataiku solving and how is that benefiting you?** Using to optimize pharmaceutical product positioning based on financial implications ### 9. Influencial **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** May 05, 2025 **What do you like best about Dataiku?** Approach to Agentic AI, presented during the demos **What do you dislike about Dataiku?** Lack of Hands On Labs on the website. For developers its useful to try the Agentic approach in identifying areas of innovation **What problems is Dataiku solving and how is that benefiting you?** We do not use Data Iku for now ### 10. Dataiku in my company **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consumer Goods | Enterprise (> 1000 emp.) **Reviewed Date:** May 06, 2025 **What do you like best about Dataiku?** It makes our lives easier and it helps us detect opportunities and risks. **What do you dislike about Dataiku?** Lack of information when getting new updates **What problems is Dataiku solving and how is that benefiting you?** It's helping us solve optimization problems as well as demand prediction in the short and long term. ### 11. Awesome tool to get going with AI Agents! **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Allows you to think about solving the problem and not get bogged down with figuring out the coding. **What do you dislike about Dataiku?** A lot of places to look to find the correct tool **What problems is Dataiku solving and how is that benefiting you?** Used by our manufacturing folks to probe a lot of data ### 12. Data for everyone **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I love the web platform that decreases peoples adversity to getting to explore. I love the visual recipes to make it easier to see what happening **What do you dislike about Dataiku?** Getting organized from project to prokect **What problems is Dataiku solving and how is that benefiting you?** Providing solutions to my business **Official Response from Taylor MECHAM:** > Thank you for sharing what you like best about Dataiku! We're continuously working to enhance project organization and streamline transitions between projects. Your input is valuable to us. ### 13. Coder who loves dataiku **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Visual capabilities, seeing my projects in a flow as well as the prepare recipe **What do you dislike about Dataiku?** I wish there was a way to display images in a data frame without building an app or dashboard **What problems is Dataiku solving and how is that benefiting you?** Building models, preparing data ### 14. Citizen DataScience tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Low code no code platform for AI and ML. **What do you dislike about Dataiku?** Licenses are very expensive. This is a huge barrier to adoption. **What problems is Dataiku solving and how is that benefiting you?** Easy to use data science tool. Marketing and leagal contract use cases ### 15. Great product **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** All in one platform to allow other users to stay within the platform **What do you dislike about Dataiku?** Lack of horizontal scaling for a better user experience **What problems is Dataiku solving and how is that benefiting you?** Allowing users to use analytics to solve real world problems ### 16. My Dataiku experience **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 23, 2025 **What do you like best about Dataiku?** Always delivers what it promises. Very intuitive features and logic building capabilities. **What do you dislike about Dataiku?** Perhaps more marketing events in Germany would help. **What problems is Dataiku solving and how is that benefiting you?** Potentially - Visual ML capabilities to encourage line coders ### 17. Data science for non data scientists **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 29, 2025 **What do you like best about Dataiku?** Very intuitive interface, easy to configure and build intelligent models with. **What do you dislike about Dataiku?** It sometimes just doesn’t work when you are executing models. **What problems is Dataiku solving and how is that benefiting you?** Improving marketplace approvals ### 18. Good partner **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Health, Wellness and Fitness | Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Simple and effective tools. Great support **What do you dislike about Dataiku?** Pricing can be opaque. Can be made a little bit more transparent **What problems is Dataiku solving and how is that benefiting you?** Mining information through internal data and driving insights ### 19. Dataiku enables all data users to seamlessly collaborate with data engineers and data scientists **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) **Reviewed Date:** March 13, 2025 **What do you like best about Dataiku?** How to makes back end complex data engineering work so much easier to understand **What do you dislike about Dataiku?** More intuitive for end users, especially people with no coding background **What problems is Dataiku solving and how is that benefiting you?** Reduces time and efforts required to collaborate with different parties across the entire data science ecosystem ### 20. Initial stages **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** It’s Models and Agents capabilities and all in one platform **What do you dislike about Dataiku?** Data literacy and enablement needs to be focused **What problems is Dataiku solving and how is that benefiting you?** Data Analytics ### 21. KYC Risk model **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Flexibility, configurability, and modular setups **What do you dislike about Dataiku?** Cost and license constraints that prohibited more users on the platform **What problems is Dataiku solving and how is that benefiting you?** Compliance efficiency and integration ### 22. DataIku customer **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Apparel & Fashion | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Their customer success team and user friendly platform. **What do you dislike about Dataiku?** Can be overwhelming for beginners in particular. **What problems is Dataiku solving and how is that benefiting you?** Data wrangling and predictive modeling. ### 23. Awesome **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** User friendly interface and designed highly technical features enabled **What do you dislike about Dataiku?** Little more elaborate or lengthy process **What problems is Dataiku solving and how is that benefiting you?** Planning analytics ### 24. Great data exploration tool **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Simplicity and quick data exploration and analytics **What do you dislike about Dataiku?** Needed training documents for quickly onboarding new users **What problems is Dataiku solving and how is that benefiting you?** Marketing ### 25. Streamlining Data Science Workflows **Rating:** 4.5/5.0 stars **Reviewed by:** Dave S. | AI Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Dataiku?** The ability to automate repetitive tasks like model deployment and report generation is a game-changer. Dataiku frees up data scientists to focus on higher-level analysis and innovation, which is what I find most valuable. **What do you dislike about Dataiku?** While Dataiku excels at streamlining many aspects of the data science workflow, optimizing workflows involving large datasets can be cumbersome. When dealing with a massive number of data partitions, I encountered processing issues that caused delays. A more efficient way to handle big data within the platform would be ideal for streamlining workflows with these complex datasets. **What problems is Dataiku solving and how is that benefiting you?** Communication and collaboration between data scientists and business users were clunky. Dataiku's intuitive interface and collaborative features bridge this gap, allowing everyone to stay on the same page and contribute effectively. ### 26. Best AI Tool Available 2024 **Rating:** 5.0/5.0 stars **Reviewed by:** Shreneel K. | Software Developer Intern, Mid-Market (51-1000 emp.) **Reviewed Date:** July 17, 2024 **What do you like best about Dataiku?** It's a platform that has all the functionalities that are needed by a developer on an everyday basis. Its so easy to use and integrate that the implementation can be done within a short amount of time. It has an excellent customer support that I would definitely use it frequently. **What do you dislike about Dataiku?** For now I am satisfied by all the features it offers. **What problems is Dataiku solving and how is that benefiting you?** It helped me deploy a code that was just in the execution phase and deliver it to my team so that they could use it everyday. Otherwise that code would have come into production. ### 27. Great Data Science Platform for data professionals **Rating:** 5.0/5.0 stars **Reviewed by:** Sumani P. | Data analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** July 04, 2024 **What do you like best about Dataiku?** Useful to process numerical, text, vector features. It has great data handling. Helpful in building machine learning models. **What do you dislike about Dataiku?** It has large processing time. Sometimes inefficent workflow management can be observed. **What problems is Dataiku solving and how is that benefiting you?** It has great data handling. Data crom multiple sources can be combined and also has great collabration features. ### 28. Functional Data Management and Analytics Tool **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** July 17, 2024 **What do you like best about Dataiku?** Dataiqu has a user-friendly interface that simplified data management and analysis for my team. It allows for great collaboration, allowing my team to share data and work together on projects. **What do you dislike about Dataiku?** While Dataiku's user-friendly interface is nice, the platform isn't as powerful as others. Like any new software, there is a bit of a learning curve when getting started. Lastly, my team found that the performance can be sluggish with large datasets. **What problems is Dataiku solving and how is that benefiting you?** Dataiku allows my team to prepare, analyze and collaborate on large datasets. It prevents us from working in a silo and allows us to share insights and use our collective ideas to further our marketing efforts. ### 29. Good user experience but limited capabilities **Rating:** 3.5/5.0 stars **Reviewed by:** Callan M. | Sales Development Representative, Mid-Market (51-1000 emp.) **Reviewed Date:** July 17, 2024 **What do you like best about Dataiku?** Robust tool, great capabilities and helped me automate some reports that I didnt need to spending time on every week. **What do you dislike about Dataiku?** Can be difficult to figure out what all the tool does. User experience could be better. **What problems is Dataiku solving and how is that benefiting you?** It makes working in large data sets faster. I can get more insghts faster and as a result have more time to do the other elements of my job. ### 30. Data okie for Project Management **Rating:** 4.5/5.0 stars **Reviewed by:** David H. | Quality Specialist, Mid-Market (51-1000 emp.) **Reviewed Date:** June 25, 2024 **What do you like best about Dataiku?** Great for building and refining project management documents and data analysis in consulting work to help business grow **What do you dislike about Dataiku?** Relative standing as compared to other well known platforms **What problems is Dataiku solving and how is that benefiting you?** Project management ### 31. Dataiku is very handy for advanced Data Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Retail | Mid-Market (51-1000 emp.) **Reviewed Date:** July 23, 2024 **What do you like best about Dataiku?** Dataiku is very handy for advanced Data Analytics without need of any code, Many business users especially from non analytics background people feels very isnightful using Dataiku. company CEO's top management people use this to get business insghts and I recommend this to every organisation to have such a great tool to get Business insights whcih can help in any analysis. **What do you dislike about Dataiku?** I dont htink it has any dislikes. It is very good **What problems is Dataiku solving and how is that benefiting you?** Suppy chain analytics, Demand Forecasting, Marketing and Promotional anlaytics in Retail, CPG, Oil and Gas domain ### 32. Helpful for project collaboration **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** June 24, 2024 **What do you like best about Dataiku?** It allows us to apply current project workflow to new data without any need of low level abstarction of project. **What do you dislike about Dataiku?** It is very useful software but processing charges are a little high. **What problems is Dataiku solving and how is that benefiting you?** Dataiku simplifies data integration, enhances collaboration, and automates machine learning workflows, allowing users to efficiently prepare, analyze, and model data, thereby accelerating insights and improving decision-making. ### 33. very good **Rating:** 4.0/5.0 stars **Reviewed by:** Vaishak H. | Research Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** July 17, 2024 **What do you like best about Dataiku?** it is really helpful in cleaning and processing data **What do you dislike about Dataiku?** i have nothing to dislike about Dataiku as of now **What problems is Dataiku solving and how is that benefiting you?** Organising data ### 34. AI ML company **Rating:** 2.5/5.0 stars **Reviewed by:** Suraj R. | Technology Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** June 30, 2024 **What do you like best about Dataiku?** It is targeting smaller companies especially start up. **What do you dislike about Dataiku?** There is a competition in the market. I think Dataiku is struggling to get their brand **What problems is Dataiku solving and how is that benefiting you?** Retails data analysis ### 35. Robust tool for data science engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Kuldeep S. | App/Cloud Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** September 28, 2023 **What do you like best about Dataiku?** Frequently Use: this tool we use very frequently for data analysis and optimise an d filtering. Easy to use: this tool is easy to use. It's very user friendly Easy to integration: this tool is easy to integration with other platforms. So that we could collaborate with other team. No of features: there are no of features .like 1.robust data integration 2. scalability 3. Visual data preparation 4.modelmonitering Etc Easy to implementation: dataiku dss is easy to implementation Customer support: this is very good customer support. **What do you dislike about Dataiku?** Although this tool is very easy to use nd user friendly but some people who are new in data science get some challenging to use. Cost: cost is also high .this is not suitable for small organization . Limited free version:there are limitations of free version. **What problems is Dataiku solving and how is that benefiting you?** The problem is solving of data integration. It's robust data integration tool for it integrate data from various data sources ### 36. ML **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.) **Reviewed Date:** July 18, 2024 **What do you like best about Dataiku?** model implementation is very good to understand **What do you dislike about Dataiku?** website design may be modified in few areas **What problems is Dataiku solving and how is that benefiting you?** learning about data and ML ### 37. All-in-one data pipeline management tool **Rating:** 4.5/5.0 stars **Reviewed by:** Sai Ramana Reddy S. | student, Enterprise (> 1000 emp.) **Reviewed Date:** June 19, 2023 **What do you like best about Dataiku?** Dataiku DSS provides a central platform to manage your data pipelines, ML models and more. **What do you dislike about Dataiku?** UI could use some work. Also, the support for using multi-file projects as a recipe or pipeline is limited. **What problems is Dataiku solving and how is that benefiting you?** Dataiku shows the flow diagram as a DAG which provides a good visualization. Moreover, its recipe build features allow you to create most data pipelines without writing any code. Its recently added features like ML Notebooks are very useful for running Machine Learning classification or regression tasks on a dataset. Dataiku has complete support for training and evaluating Machine Learning models. ### 38. Best tool to Analysis and Presenting data in different Dimention **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** July 25, 2023 **What do you like best about Dataiku?** It is the best tool to analyze huge data based on the level of organization for decision-making. Dataiku is the best tool to present data different views and representation data. **What do you dislike about Dataiku?** The tool can be more user friendly where citizen developers can analyze the data of their own business data. It can made available with other tool where they can connect the date to analyze it. **What problems is Dataiku solving and how is that benefiting you?** We are using dataiku to integrate with our own product to analyze the data and present it dashboard for decision making quickly and present in more GUI representation ### 39. Recipes for everything to everyone **Rating:** 4.0/5.0 stars **Reviewed by:** Carlos M. | Ingeniero de software intermedio, Enterprise (> 1000 emp.) **Reviewed Date:** November 03, 2022 **What do you like best about Dataiku?** The way that Dataiku can use tools like Python, R, SQL and the built-in tools to make even the most unorganized data source to information with a lot of value, undestandable for anyone that can read a dashboard. **What do you dislike about Dataiku?** Sometimes the processing time can be prolonged for multi-user purposes; even with training data and a reduced number of users, it could be a very stressful task, going from 10 seconds to 1:30 minutes. **What problems is Dataiku solving and how is that benefiting you?** The day-to-day information that we use in the manufacturing, marketing and salesforce are crucial for decision-making; having all the information stored on the same platform with prediction models included is a must-have combined with Qlik sense, tableau or similar softwares ### 40. Dataiku for super interpretable pipelines **Rating:** 5.0/5.0 stars **Reviewed by:** Subham S. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2022 **What do you like best about Dataiku?** Dataiku helps to make your hefty data pipelines readable and easier to manage. There are a lot of inbuilt recipes which helps you make your pipeline modular. It is definitely one of the nest place to productionise your systems. **What do you dislike about Dataiku?** Not all recipes help you do the exact thing you want to do. For that you have to code the entire pipeline in a say, python recipe which again makes it less modular. Also there is less documentation available. **What problems is Dataiku solving and how is that benefiting you?** Dataiku is beneficial in breaking your entire code into pieces called zones which makes it super interpretable for the client to understand what each piece actually does. Also, it has a good UI which makes easy to track the flow of your pipeline. ### 41. DSS Flow zone feature greatly helps with dataset alignment & provide Lab for Visual & Code recipes **Rating:** 4.0/5.0 stars **Reviewed by:** Varshini S. | Database Engineer, Information Technology and Services, Enterprise (> 1000 emp.) **Reviewed Date:** March 03, 2022 **What do you like best about Dataiku?** Dataiku DSS enables me to work with both structured data, which has a standard schema, & unstructured data, which has diverse schema records. It aids with dataset manipulation at a distinct level as it's analogous to our SQL tables and custom SQL query. It supports data files present in our application servers & Hadoop clusters and provides DSS recipes whenever we perform transformations on our datasets. It can also execute our Python scripts with the inclusion of Pandas library, Pig scripts, and Hive queries. **What do you dislike about Dataiku?** None actually. Dataiku DSS even reads external datasets and helps create new ones with recipes on Hadoop HDFS, SQL database, and Amazon S3. Partition approaches followed for Discrete & Time partitioning dimensions are also well defined in Dataiku DSS. **What problems is Dataiku solving and how is that benefiting you?** Working with predictive maintenance for our data science model is complex as it involves multiple datasets & difficult to navigate. Dataiku DSS creates a simplified view through its Flow Zone features in which we can divide our super-sized project into managable zones. We can also isolate a specific branch for Model Training and share those datasets across projects with its share to a flow zone option. Flow refactoring is also effortless as Dataiku DSS provides view only nodes option in which the zones are hidden and we can move nodes and apply tags to them as per our requirement. ### 42. Dataiku DSS - One Stop Solution For Data Science Community **Rating:** 5.0/5.0 stars **Reviewed by:** Vivek S. | Analytics Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** November 03, 2021 **What do you like best about Dataiku?** Dataiku DSS allows users to collaborate with each other and also track every users work progress. It integrates seamlessly with other tools such as Amazon S3, MS SQL Server database, etc. **What do you dislike about Dataiku?** Being a recently launched product (2013), Dataiku DSS has minimal customer support at the moment. It can currently be installed only on Windows operating systems. **Recommendations to others considering Dataiku:** Anaconda, RStudio **What problems is Dataiku solving and how is that benefiting you?** Dataiku DSS provides a one-stop solution for all data science applications. It integrates well with external data sources like Amazon S3 and MS SQL Server database. It also provides several data analysis options such as statistical tools, graphs and plots for data visualization, etc. The significant benefit of Dataiku DSS lies in its flexibility to allow coders and non-coders to create optimized machine learning models. Other essential features include tracking user performances and contributions in a collab environment. ### 43. Dataiku DSS Data Science Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Mohamed A. | Head of Data Science, Mid-Market (51-1000 emp.) **Reviewed Date:** November 04, 2021 **What do you like best about Dataiku?** Visual Recipes and Code Recipes and AutoML **What do you dislike about Dataiku?** Almost all features are nice, may be somehow expensive **What problems is Dataiku solving and how is that benefiting you?** Regression and Classification ### 44. Direct and simple **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Management Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** July 30, 2021 **What do you like best about Dataiku?** The clean design of the application and the ease of use for anyone to pick up no matter their level of knowledge **What do you dislike about Dataiku?** You have to install on linux if you don't know how to install virtual machines **What problems is Dataiku solving and how is that benefiting you?** Data analytics, data wrangling and ETL ### 45. Great experience **Rating:** 5.0/5.0 stars **Reviewed by:** Arthur M. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 22, 2020 **What do you like best about Dataiku?** The flows make it very easy to visualize my data flow, instead of having multiple files everywhere. It saves me a lot of time when cleaning data and mixing different languages and technologies such as SQL, Python and R in the same project. The plugin feature also gives me a lot of flexibility. The fact that you can insert new data to your database from DSS, automate flows insert checks, etc. makes the whole process very intuitive and saves a lot of time. Support is also great, very quick in answering our questions and very proactive in solving issues. **What do you dislike about Dataiku?** Some minor bugs exist and some features are still needed. I have faced bugs when integrating with Snowflake, but no major issues. Since it is a new tool, we often face issues due to missing features, but the support team is always willing to help and add those features to their development pipeline. Support for IT infrastructure could be a bit more proactive too, sometimes we feel a bit lost with technical issues such as storage space and how DSS uses it. **What problems is Dataiku solving and how is that benefiting you?** I use it for pretty much everything at work now, from recommender systems to forecasting. It saves me a huge amount of time. I was able to collaborate with other teammates by sharing tables between projects, and automate reports and dashboards, including notifications in other tools, such as Microsoft Teams, to inform of any issues when updating those reports. ### 46. Turn Raw Data Into AI-Enabled Services **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** November 09, 2020 **What do you like best about Dataiku?** 1.Dataiku is one place tool where we can do work with data like Data Preparation Data Exploration automated AI Model Deployment AI Monitoring APP Management 2. Best tool to Data transformation from any resource and analysis the data in different view 3. Best tool to generate report and model of the data in pictorial and table representation. **What do you dislike about Dataiku?** Does not scale well for more number of users Could have better support on platform installation and maintenance the statistics data can be better Not giving tableau plugin **Recommendations to others considering Dataiku:** It is best tool for transformation data into different dimension and analysis the data. it is best tool for data cleaning and transformation according to different business requirement. data analyst and data scientist enthusiasm use this tool and make your decision more easy. **What problems is Dataiku solving and how is that benefiting you?** We are promoting the product to our client as best analytical tool As a trainer, i delivery the training about this product. ### 47. Learning about different AutoML **Rating:** 5.0/5.0 stars **Reviewed by:** Daniel M. | Senior Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** June 11, 2020 **What do you like best about Dataiku?** I like the flexibility to ingest different data sources. The user interface is intuitive and allows you to upload data into a project with a few clicks. Also, the portfolio of recipes and algorithms help expedite the development of different algorithms. One exercise that I'd like to do is to test the time-saving opportunities that I can have with this type of tool. **What do you dislike about Dataiku?** This might sound picky, but I didn't like the drag and dropped functionality within the flow, it's hard to move things around. **Recommendations to others considering Dataiku:** I'd recommend getting the certification. That's a good way to get your hands one using real-world problems to explore in detail the different functionalities of the software. Also, have a data catalog to understand all the components of your data **What problems is Dataiku solving and how is that benefiting you?** I'm using Dataiku mostly for use cases within the Healthcare Industry ### 48. Easy to use tool for all data wrangling and ML needs **Rating:** 4.0/5.0 stars **Reviewed by:** Vijay P. | Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** June 18, 2020 **What do you like best about Dataiku?** Ease of use due to the presence of all majorly applied operations as direct 'recipes'. And also, the visual flow element helps keep track of things in the most intuitive manner. **What do you dislike about Dataiku?** If not properly managed, the flows can become very big and difficult to manage- I find the visual arrangement aspect of the tool to be a bit lacking. The two options of anchor and free flow both have their downsides. Anchor works fine only for smaller flows. And free flow can get messy very easily: e.g. connecting lines often criss cross even though they need not and we can visually see this but the tool does mess this up sometimes. **What problems is Dataiku solving and how is that benefiting you?** I have used it extensively for data cleaning and preparation purpose. As mentioned above, it makes this very easy to do. Anothet aspect is that we regularly receive new data and the data preparation steps need to be re run- dataiku dss makes this easy as well. ### 49. Dataiku is powerful tool for Data analysis and data science work. **Rating:** 4.5/5.0 stars **Reviewed by:** Pushpendra S. | Business Intelligence Consultant | IT Department, Enterprise (> 1000 emp.) **Reviewed Date:** June 19, 2020 **What do you like best about Dataiku?** DSS is powerful tool for Data science work. it's giving you best suggetion for which algorithm is best for you analysis. I have used it basically for data preparation and data analysis purpose. it's easy to use and reuse you data flow making this really cool. Thank DSS. **What do you dislike about Dataiku?** Only one thing data visualization. it's not giving you tableau software plugin. **Recommendations to others considering Dataiku:** I am recommending for all data analyst and data scientist enthusiasm use this tool and make your decision more easy. **What problems is Dataiku solving and how is that benefiting you?** Extensively for data preparation like indexing, create calculated file, random forcast algorithm and other also create other algorithm. I have realized it's easy to use and user friendly interface. ### 50. Very useful and powerful in terms of deploying machine learning algorithms **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) **Reviewed Date:** June 10, 2020 **What do you like best about Dataiku?** Inbuilt machine learning deployment facility and easy integration with other code environments like Jupyter Notebook **What do you dislike about Dataiku?** Needs to be a little more intuitive in nature **Recommendations to others considering Dataiku:** Dataiku DSS will soon become the go to software for all our machine learning needs. It's a must know tool for every data scientist. **What problems is Dataiku solving and how is that benefiting you?** Currently solving problems that require a data driven solution by leveraging machine learning algorithms. The inbuilt mechanism to train and predict using the models and choose the best model from dataiku has proved to be very useful ## Dataiku Discussions - [Can I securely work on my sensitive data?](https://www.g2.com/discussions/can-i-securely-work-on-my-sensitive-data) - 2 comments, 2 upvotes - [What data visualization and reporting methods do you support?](https://www.g2.com/discussions/data-visualization) - 2 comments, 1 upvote - [What machine learning algorithms do you support?](https://www.g2.com/discussions/techical-specifications-5dafbb22-fb53-40e6-99ca-920a3000c257) - 1 comment, 1 upvote - [What programming languages do you support?](https://www.g2.com/discussions/techical-specifications-168d61c9-5165-4b3f-bded-0167b92ff8ed) - 1 comment, 1 upvote - [What data wrangling techniques do you support?](https://www.g2.com/discussions/techical-specifications-ab5002f3-fd5f-4acb-8fbd-280592800a16) - 1 comment, 1 upvote - [View Dataiku pricing details and edition comparison](https://www.g2.com/products/dataiku/reviews?page=4§ion=pricing&secure%5Bexpires_at%5D=2026-07-12+09%3A53%3A14+-0500&secure%5Bsession_id%5D=3ea79364-4ffa-4aba-a45c-e23659d9c84c&secure%5Btoken%5D=4e0811b6ef30590c60e1026b8ca9a0d4231a405524df108a13afbea6bb98e31d&format=llm_user) ## Dataiku Integrations - [Alation](https://www.g2.com/products/alation/reviews) - [Alteryx Designer Cloud](https://www.g2.com/products/alteryx-alteryx-designer-cloud/reviews) - [Amazon S3 Glacier](https://www.g2.com/products/amazon-s3-glacier/reviews) - [Anthropic SDK](https://www.g2.com/products/anthropic-sdk/reviews) - [AWS Bedrock](https://www.g2.com/products/aws-bedrock/reviews) - [AWS Cloud Development Kit (AWS CDK)](https://www.g2.com/products/aws-cloud-development-kit-aws-cdk/reviews) - [Azure](https://www.g2.com/products/hopem-azure/reviews) - [Azure Blob Storage](https://www.g2.com/products/azure-blob-storage/reviews) - [Databricks](https://www.g2.com/products/databricks/reviews) - [Google Cloud BigQuery](https://www.g2.com/products/google-cloud-bigquery/reviews) - [Google Vertex AI SDK](https://www.g2.com/products/google-vertex-ai-sdk/reviews) - [KaTe GCP Adapter for SAP PO](https://www.g2.com/products/kate-gcp-adapter-for-sap-po/reviews) - [MySQL](https://www.g2.com/products/mysql/reviews) - [OpenAI SDK](https://www.g2.com/products/openai-sdk/reviews) - [PostgreSQL](https://www.g2.com/products/postgresql/reviews) - [RedShift](https://www.g2.com/products/redshift-redshift/reviews) - [Snowflake](https://www.g2.com/products/snowflake/reviews) ## Dataiku Features **Reports** - Reports Interface - Steps to Answer - Graphs and Charts - Score Cards - Dashboards **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **System** - Data Ingestion & Wrangling **Data Preparation** - Connectors - Data Governance **Responses** - Personalization - Route To Human - Natural Language Understanding (NLU) **Deployment** - Language Flexibility - Framework Flexibility - Versioning - Ease of Deployment - Scalability **Scalability and Performance - Generative AI Infrastructure** - AI High Availability - AI Model Training Scalability - AI Inference Speed **Automation - AI Agents** - Sales Follow-Up - Customer Interaction Automation - Lead Generation - Document Processing - Feedback Collection **Integration - Machine Learning** - Integration **Prompt Engineering - Large Language Model Operationalization (LLMOps) ** - Prompt Optimization Tools - Template Library **Inference Optimization - Large Language Model Operationalization (LLMOps)** - Batch Processing Support **Customization - AI Agent Builders** - Natural Language Configuration - Tone Customization - Security Guardrails **Agentic AI - AWS Marketplace** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration **Workflow Design & Integration - AI Orchestration** - Dependency Management - Workflow Coordination - Multi-Provider API Connectivity - Multi-Step Workflow Creation - Enterprise System Integration - Real-Time Data Pipelines **Data Ingestion & Preparation - Low-Code Machine Learning Platforms** - Automatic Data Profiling & Quality Assessment - Multi‑Source Connector Support - Schema Drift / Change Detection **Statistical Tool** - Scripting - Data Mining - Algorithms **Model Development** - Language Support - Drag and Drop - Pre-Built Algorithms - Model Training **Data Transformation** - Real-Time Analytics - Data Querying **Management** - Cataloging - Monitoring - Governing - Model Registry **Model Development** - Feature Engineering **Data Modeling and Blending** - Data Querying - Data Filtering - Data Blending **Platform** - Conversation Editor - Integration - Human-In-The-Loop **Operations** - Metrics - Infrastructure management - Collaboration **Cost and Efficiency - Generative AI Infrastructure** - AI Cost per API Call - AI Resource Allocation Flexibility - AI Energy Efficiency **Autonomy - AI Agents** - Independent Decision Making - Adaptive Responses - Task Execution - Problem Solving **Learning - Machine Learning** - Training Data - Actionable Insights - Algorithm **Model Garden - Large Language Model Operationalization (LLMOps)** - Model Comparison Dashboard **Functionality - AI Agent Builders** - Omni-channel Support - Agent Branding - Proactive Response Capabilities - Seamless Human Escalation **Performance Optimization & Analytics - AI Orchestration** - Workflow Performance Dashboards - Workflow Reporting - Resource Utilization Monitoring - Computational Resource Management - Dynamic Scaling - Component Monitoring **Model Construction & Automation - Low-Code Machine Learning Platforms** - Guided Algorithm & Hyperparameter Recommendation - Code Extensibility - Automated Feature Engineering **Data Analysis** - Analysis - Data Interaction **Machine/Deep Learning Services** - Computer Vision - Natural Language Processing - Natural Language Generation - Artificial Neural Networks **Machine/Deep Learning Services** - Natural Language Understanding - Deep Learning **Management** - Cataloging - Monitoring - Governing **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization **Integration and Extensibility - Generative AI Infrastructure** - AI Multi-cloud Support - AI Data Pipeline Integration - AI API Support and Flexibility **Custom Training - Large Language Model Operationalization (LLMOps)** - Fine-Tuning Interface **Data and Analytics - AI Agent Builders** - Analytics & Reporting - Contextual Awareness - Data Privacy Compliance **Governance & Compliance Controls - AI Orchestration** - Regulatory Compliance - Governance Policy Enforcement - Role-Based Access Control - Audit Trail Management - Security Protocols **Agentic AI - AI Agents** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Decision Making** - Modeling - Data Visualizations - Report Generation - Data Unification **Deployment** - Managed Service - Application - Scalability **Connectivity** - Hadoop Integration - Spark Integration - Multi-Source Analysis - Data Lake **Generative AI** - AI Text Generation - AI Text Summarization **Security and Compliance - Generative AI Infrastructure** - AI GDPR and Regulatory Compliance - AI Role-based Access Control - AI Data Encryption **Application Development - Large Language Model Operationalization (LLMOps) ** - SDK & API Integrations **Integration - AI Agent Builders** - Workflow Automation - API Usage - Platform Interoperability - CRM Data Integration **Agentic AI - Analytics Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Self Service ** - Calculated Fields - Data Column Filtering - Data Discovery - Search - Collaboration / Workflow - Automodeling **Operations** - Data Visualization - Data Workflow - Governed Discovery - Embedded Analytics - Notebooks **Generative AI** - AI Text Generation - AI Text Summarization **Generative AI** - AI Text Generation - AI Text Summarization - AI Text-to-Image **Usability and Support - Generative AI Infrastructure** - AI Documentation Quality - AI Community Activity **Model Deployment - Large Language Model Operationalization (LLMOps) ** - One-Click Deployment - Scalability Management **Deployment & Integration - Analytics Platforms** - No-code Dashboard Builder - Report Scheduling and Automation - Embedded Analytics and White-labeling - Data Source Connectivity **Advanced Analytics** - Predictive Analytics - Data Visualization - Big Data Services **Guardrails - Large Language Model Operationalization (LLMOps)** - Content Moderation Rules - Policy Compliance Checker **Agentic AI - Data Science and Machine Learning Platforms** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Adaptive Learning - Natural Language Interaction - Proactive Assistance - Decision Making **Performance & Scalability - Analytics Platforms** - Large data handling and Query Speed - Concurrent User Support **Model Monitoring - Large Language Model Operationalization (LLMOps)** - Drift Detection Alerts - Real-Time Performance Metrics **Advanced Analytics & Modeling - Analytics Platforms** - Data Modeling and Governance - Notebook and Script Integration - Built-in Predictive and Statistical Models **Security - Large Language Model Operationalization (LLMOps)** - Data Encryption Tools - Access Control Management **Agentic AI Capabilities - Analytics Platforms** - Auto-generated Insights and Narratives - Natural Language Queries - Proactive KPI Monitoring and Alerts - AI Agents for Analytical Follow-ups **Gateways & Routers - Large Language Model Operationalization (LLMOps)** - Request Routing Optimization **Personalized Intelligence - Analytics Platforms** - Behavioral Learning for Contextual Query Refinement - Role-based Insight Personalization - Conversational and Prompt-based Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Dataiku Alternatives - [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) - 4.3/5.0 (653 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (845 reviews) - [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) - 4.6/5.0 (494 reviews)