--- 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: '2026-07-09' 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 Orchastation tool **Rating:** 3.5/5.0 stars **Reviewed by:** Arpan N. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** It is a great tool to use as a data analyst. Great to track data from different sources in a single place **What do you dislike about Dataiku?** Will need more comprehensive material to train new programmers **What problems is Dataiku solving and how is that benefiting you?** We are doing a poc to build a agent to help service center executived of one only our insurance client on different products they offer. Dataiku is being used as pri.arh platform to do the poc **Official Response from Taylor MECHAM:** > Thank you for sharing your experience with Dataiku. We're glad to hear your Data Analysts find value in our Platform! We understand the importance of comprehensive training materials and will take your feedback into consideration for future improvements. ### 2. Dataiku Makes Data Analytics Accessible to End Users **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?** Dataiku’s vast connections to different data structures allows backend users to connect multiple end users’ data together to make meaningful connections for the end users through user friendly and customizable web apps. **What do you dislike about Dataiku?** Even though Dataiku is great in many aspects, understanding all that is has to offer takes some time and I am always finding new things I didn’t know it could do. Understanding how it can be combined with what we have already is challenging. **What problems is Dataiku solving and how is that benefiting you?** Being able to have technical and non technical users in the same space allowing for technical users to build in the same platform the end users can view. ### 3. Dataiku most efficient data partners **Rating:** 5.0/5.0 stars **Reviewed by:** Nrupali S. | AVP- Product Owner, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Writing recipes for data validation that take most of works hours running manual scriptS **What do you dislike about Dataiku?** Deleting dataset recipes causing loss of data **What problems is Dataiku solving and how is that benefiting you?** Touchpoint engagement marketing analysis ### 4. Great tool for anyone **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consulting | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** You can do a lot with just drag-and-drop components, easy to use for people from non technical background. You can bring in your own models, connect to huge data sources, and even integrate with most of the tools. **What do you dislike about Dataiku?** For large datasets, processing might slow down if it's not well-optimized or errors in joins can lead to recipes running forever. Could prompt some warning to handle such cases **What problems is Dataiku solving and how is that benefiting you?** Dataiku solves the problem of siloed workflows by uniting data prep, modeling, and deployment in one platform. For me, that means I can prototype a model, share it with stakeholders, and automate retraining ### 5. Good tool for ai and gen ai llm but not etl and enginer **Rating:** 3.5/5.0 stars **Reviewed by:** Nícolas S. | Senior Data Engineer | Ouribank, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Gen ai possibilities, llm mesh possibilities and the ai stuf **What do you dislike about Dataiku?** ETL and Data Engenireering part, specifically with big data **What problems is Dataiku solving and how is that benefiting you?** ETL Problems **Official Response from Taylor MECHAM:** > We're happy to hear that Dataiku's AI and Generative AI capabilities are beneficial to you. We understand that the ETL and data engineering aspects may not fully meet your needs, and we appreciate your feedback as we continue to enhance our platform. ### 6. Company with good use cases to support for AI **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Banking | Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Great AI shop for getting to learn about AI and get up to speed on integrating AI in your tech space. **What do you dislike about Dataiku?** Currently could not come across anything which could be disliked. **What problems is Dataiku solving and how is that benefiting you?** We are still in the early stages of integrating AI in the workplace. Dataiku is helping in understanding the different use cases in the IT space ### 7. Data ai **Rating:** 5.0/5.0 stars **Reviewed by:** James C. | SM, Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Dataiku is solid for a bunch of reasons, especially if you're working on data science or analytics projects with collaboration in mind. Here’s what makes it good: **What do you dislike about Dataiku?** Nothing so farSteep Learning Curve (Initially): Despite being low-code friendly, the platform can feel overwhelming at first—lots of menus, concepts (projects, flows, scenarios), and configuration options. **What problems is Dataiku solving and how is that benefiting you?** Data and ai ### 8. Dataiku is one solid ecosystem **Rating:** 5.0/5.0 stars **Reviewed by:** Joe D. | Head of Data Analytics, Engineering and Data Science, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I love the ease of use for my data science engineers to be able to create and share models. I also love the governance and wiki feature for future use. **What do you dislike about Dataiku?** I haven’t found any limitations to my use cases that would warrant a dislike. **What problems is Dataiku solving and how is that benefiting you?** It is helping us unlock better prediction indicators in our data sets. ### 9. Positive experiences using dataiku **Rating:** 5.0/5.0 stars **Reviewed by:** Tiina C. | Product Impact Manager, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I appreciate the low code environment. Makes it easier for a newer user to understand. **What do you dislike about Dataiku?** Although there are plenty of resources to review use cases, it can be unintuitive for new users. **What problems is Dataiku solving and how is that benefiting you?** Using the OCR capabilities to read and extract data from high volumes of documents uploaded to our sharepoint folder. ### 10. A comprehensive/complete tool for data science **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Chemicals | Enterprise (> 1000 emp.) **Reviewed Date:** April 03, 2025 **What do you like best about Dataiku?** versatility: visual, low code, API integration (wiki, dashboards, flow, models) connectivity (Databricks) ease of use for basic applications immediate support **What do you dislike about Dataiku?** quite expensive subscription limitations in flow output (images) steep learning curve for specific projects **What problems is Dataiku solving and how is that benefiting you?** Creation Machine learning models for feature analysis and predictions Time series analysis and modeling easy implementation (hyperparameter, comparison models, visualizations) dokumentation (wiki) visibility/visualization via flow ### 11. Dataiku is an extremely powerful tool in Data Science and around Data Science. **Rating:** 4.5/5.0 stars **Reviewed by:** Laurent B. | Data Science Design Authority, Enterprise (> 1000 emp.) **Reviewed Date:** April 23, 2025 **What do you like best about Dataiku?** An extremely pleasant interface to use, making the software easy to operate. The customer support is very responsive and efficient. **What do you dislike about Dataiku?** Nothing to say about the tool itself, which offers efficient features. More reserved about the commercial policy. **What problems is Dataiku solving and how is that benefiting you?** Very user-friendly and high-performance ETL capability. MLOps made easy on a daily basis. ### 12. Best AI/ML Engine **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Best ai ml engine for getting your data from silver to gold, building and deploying your projects, and all in one centralized platform. **What do you dislike about Dataiku?** Nothing, I love all the features of Dataiku **What problems is Dataiku solving and how is that benefiting you?** Big into the pharma space, great for forecasting sales and goal targets or even building analytical webapps! ### 13. Data pipeline and machine learning done easily **Rating:** 4.5/5.0 stars **Reviewed by:** Xavier A. | Senior Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** March 12, 2025 **What do you like best about Dataiku?** Dataiku helps you abstract from pipelining focus on creating value-adding data products. **What do you dislike about Dataiku?** I dislike the most the lack of visibility over what is happening in the backend and, particularly, the price. **What problems is Dataiku solving and how is that benefiting you?** Demand forecasting: we have built the forecasting pipeline for half a million SKUs in three months. Price determination engine: we have automated pricing for a subset of SKUs, all made easy since we could abstract from pipelining. ### 14. Dataiku user **Rating:** 4.0/5.0 stars **Reviewed by:** Yaseen B. | VP, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** It’s for beginner to someone who has been in the It industry for several year. The AI features and what we really value and they know what their customers want. **What do you dislike about Dataiku?** The ease of use and the feature rich interface. **What problems is Dataiku solving and how is that benefiting you?** Data wrangling and ML operations. ### 15. Dataiku review **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.) **Reviewed Date:** March 25, 2025 **What do you like best about Dataiku?** Dataiku is user friendly and easy to learn. You can combine lots of data resources into one simple platform. I frequently use this in data analytics at my company. **What do you dislike about Dataiku?** I would suggest more open training online to help others see the possibilities of using Dataiku. **What problems is Dataiku solving and how is that benefiting you?** It helps me to combine all of my data into one central location ### 16. Dataiku creates the big picture overview you need for your data projects **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Real Estate | Mid-Market (51-1000 emp.) **Reviewed Date:** April 04, 2025 **What do you like best about Dataiku?** I can step into a project with relative limited knowledge, but because of the flow overview I immediately have rough idea what is going on. This is very valuable and makes it easy for different team members to work on a project. **What do you dislike about Dataiku?** Sometimes proprietory code has to written because you work in Dataiku. But overall this is quite limited. **What problems is Dataiku solving and how is that benefiting you?** We solve Real Estate analysis problems using AI. The setup with Dataiku is helpful because not everyone is very tech savy, and the non-code options make the platform accessible to everyone. ### 17. Dataiku does it all - support for the full data pipeline. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** April 02, 2025 **What do you like best about Dataiku?** Easy to switch between clicking and coding, plus support for SQL, Python, and R. The customer support is outstanding - they really know the product and are very responsive. **What do you dislike about Dataiku?** Can't move icons around on the screen - they are placed randomly and haphazardly. **What problems is Dataiku solving and how is that benefiting you?** Data orchestration, data analysis and ETL, collaboration with other teams. ### 18. Enablement for non technical people **Rating:** 5.0/5.0 stars **Reviewed by:** Sara H. | Director/Lead Global Purchasing, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I like How user friendly and easy it is for my tea To learn **What do you dislike about Dataiku?** I wish there were better visualizations. I’m taking a lot of information from there and then using other tools to visualize **What problems is Dataiku solving and how is that benefiting you?** I have engineered data between 5+ systems ### 19. User friendly interface for business and non-technical oriented people. **Rating:** 4.5/5.0 stars **Reviewed by:** Diane M. | data science, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Has a friendly interface and SAAS which is easier to upgrade between version updates **What do you dislike about Dataiku?** It rund on top of database so it will always be a bit slower than running queries directly in database. **What problems is Dataiku solving and how is that benefiting you?** Enabaling data manipulation, transformation, modeling, predictive, prescriptive, etc. ### 20. Experience using Dataiku **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Education Management | Mid-Market (51-1000 emp.) **Reviewed Date:** July 02, 2025 **What do you like best about Dataiku?** I like how intuitive is to use Dataiku, there are many features that reminds me of a blend of SQL, excel, and python. **What do you dislike about Dataiku?** It can be difficult if you wanna implement advanced tools such as python in the flow. **What problems is Dataiku solving and how is that benefiting you?** Analyzing fraudulent transactions, uncovering hidden patterns. ### 21. Experience was insightful and knowledgeable as u get to know about the working of LLMS etc **Rating:** 5.0/5.0 stars **Reviewed by:** Sahil N. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Tbh how it simplifies complex data science tasks workflows etc. **What do you dislike about Dataiku?** Expensive for smaller orgs and mastering it's advanced analytics might be a bit tough. And running complex tasks is resource requiring robust infra **What problems is Dataiku solving and how is that benefiting you?** Things related to sustainable fraud mitigation and AML ### 22. Agentic AI **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 25, 2025 **What do you like best about Dataiku?** Great use cases of Agentic AI were demostrated **What do you dislike about Dataiku?** Nothing I can think of, I liked everything about the conference **What problems is Dataiku solving and how is that benefiting you?** Troubleshooting becomes a lot easier when you have a visual interface It's automation feature makes repetitive tasks seem less painful ### 23. Dataiku great data science platform **Rating:** 3.5/5.0 stars **Reviewed by:** Savita M. | Administrator, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Dataiku is very user friendly low code/no code platform for AI/ML capabilities **What do you dislike about Dataiku?** More infrastructure compatibility and Flexibility in integrations **What problems is Dataiku solving and how is that benefiting you?** It has really made users to be able to build low code quick prototypes for testing very easy and accessible. ### 24. Dataiku is a great tool **Rating:** 5.0/5.0 stars **Reviewed by:** Tetyana N. | Vice President, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Use the Dataiku for a few years now. Really helpful and reliable. I would recommend it to everyone. Use it for analysis and reports. **What do you dislike about Dataiku?** The process has to be ran in order to be saved in notebooks. **What problems is Dataiku solving and how is that benefiting you?** Analysis ### 25. Excellent tool **Rating:** 5.0/5.0 stars **Reviewed by:** Nicholas H. | Senior Analytics Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Dataiku is a great way to integrate multiple analytics tools and skill sets, quickly ideas, and deploy solutions rapidly **What do you dislike about Dataiku?** Dashboaring capabilities could be improved; cost **What problems is Dataiku solving and how is that benefiting you?** Dataiku makes it easy to complete etl tasks and automate complex audit work ### 26. An innovative approach to data analytics **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Insurance | Mid-Market (51-1000 emp.) **Reviewed Date:** April 25, 2025 **What do you like best about Dataiku?** The platform seems very user friendly. The data visualizations are easy to select and implement using the data. **What do you dislike about Dataiku?** although it is user friendly for the beginner data analyst, it is clear that a basic or fundamental understanding of programming and data analytics is important for full benefit of the product. **What problems is Dataiku solving and how is that benefiting you?** Text analysis from scanned documents and converting to data to be analyzed, predicting values given a set of conditions, creating data visualizations / dashboards **Official Response from Taylor MECHAM:** > Thank you for sharing your feedback on Dataiku! We're glad to hear that you find the platform user-friendly and appreciate the ease of data visualizations. We understand your concern about the need for basic programming and data analytics knowledge for full utilization of the product. We continuously work on improving our resources and support to assist users at all levels of expertise. If you or your team need any assistance or guidance on enhancing your skills with Dataiku, please feel free to reach out. We're here to help! ### 27. Great Product With Tons of Potential **Rating:** 3.5/5.0 stars **Reviewed by:** Maximus P. | Financial Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I like the ability to easily view data in numerous ways. **What do you dislike about Dataiku?** Dataiku makes frequent updates that can sometimes cause issues to existing workflows. **What problems is Dataiku solving and how is that benefiting you?** It helps to quickly and effectively transform data into useful reports and end uses. ### 28. Great product **Rating:** 4.0/5.0 stars **Reviewed by:** Alice B. | Intern, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Extremely easy to use and cheap, excellent customer support **What do you dislike about Dataiku?** Difficulty in scalability of the data and feature integration **What problems is Dataiku solving and how is that benefiting you?** Accelerating our AI use cases and their solutions can be easily tailored to the different industries of our clients ### 29. One-stop shop for all analytics and ML needs **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?** I love how Dataiku allows for such seamless creation and implementation of ML models. It offers the ability to seamlessly collaborate and integrate with workflow with colleagues. **What do you dislike about Dataiku?** Dataiku has a decent learning curve if you are coming from a non-technical background. **What problems is Dataiku solving and how is that benefiting you?** Dataiku is allowing me to solve data analytics problems that maybe take a few minutes in Python in mere seconds. It saves me a considerable amount of time in the long run. ### 30. Dataiku in Bepensa **Rating:** 5.0/5.0 stars **Reviewed by:** Roberto C. | Sr. Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** How easily we can handle Big data sets as well as the locode profile **What do you dislike about Dataiku?** Nothing much really, would like a bit more info about new updates **What problems is Dataiku solving and how is that benefiting you?** Sales forecasting and client segmentation ### 31. Platform suitable for both - Advanced Data Scientists and Analysts as well as Beginners **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) **Reviewed Date:** April 28, 2025 **What do you like best about Dataiku?** The capability to use custom code besides its built-in features that help augment the outcome. Also, the timely response from its Customer Support to address questions and blockers is a huge plus. **What do you dislike about Dataiku?** The use of inferred data-types in several of its built-in recipes - that may cause downstream issues when the original data type mismatches the inferred type. **What problems is Dataiku solving and how is that benefiting you?** Custom coding in modular form augmented by its built-in features **Official Response from Taylor MECHAM:** > Thank you for sharing your feedback about Dataiku! We're thrilled to hear that you appreciate the flexibility of using custom code alongside our built-in features and that our Customer Support team has been responsive in addressing your questions. We understand your concern about the inferred data types in some built-in recipes and the potential downstream issues it may cause. We will certainly take this feedback into consideration for future improvements. It's great to hear that Dataiku is helping you with custom coding in a modular form. If you have any further questions or need assistance, please don't hesitate to reach out. We're here to help! ### 32. Ease to use tool **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Semiconductors | Enterprise (> 1000 emp.) **Reviewed Date:** April 23, 2025 **What do you like best about Dataiku?** Quick to get started, good user interface. Great customer support. **What do you dislike about Dataiku?** Not the best for coders based developers. Not the cheapest option for doing the job. **What problems is Dataiku solving and how is that benefiting you?** Getting the most of business users advanced analytics. ### 33. Great overall experience **Rating:** 4.0/5.0 stars **Reviewed by:** Vishal D. | Analytics analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** The ease of use low code no code so all users can use **What do you dislike about Dataiku?** Explanation on new capabilities because new ones come out **What problems is Dataiku solving and how is that benefiting you?** Helping different teams connect on different projects regardless of level ### 34. Dataiku user experience **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Very user friendly, and has a lot of capabilities for data accessibility, data quality, test and create POCs **What do you dislike about Dataiku?** We don't have latest version at the moment, so I wish it was easier to get access to plug-ins in a test environment , to see different capabilities. **What problems is Dataiku solving and how is that benefiting you?** Ability to easily create analysis, ML models, and being one stop location as end user to access all the enterprise data ### 35. Great tool! **Rating:** 5.0/5.0 stars **Reviewed by:** Danielle V. | Anayst, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Easy to use with premade prepare recipes, especially for those with limited coding experience **What do you dislike about Dataiku?** Difficult to undo any mistakes!especially when accidentally deleting a recipe **What problems is Dataiku solving and how is that benefiting you?** Helps clean messy data efficiently ### 36. All in one power tool for all things data **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Hospital & Health Care | Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** From ingestion to deployment, every step of the process is a breeze. **What do you dislike about Dataiku?** No concerns at this time. I am still learning the product. **What problems is Dataiku solving and how is that benefiting you?** Healthcare cost insight and predictive modeling. ### 37. Good **Rating:** 3.5/5.0 stars **Reviewed by:** Nirmala A. | VP, Model Development, Enterprise (> 1000 emp.) **Reviewed Date:** April 30, 2025 **What do you like best about Dataiku?** click and go approaches are easy and efficient **What do you dislike about Dataiku?** I want to extract the code for the click and go operation that we conduct. **What problems is Dataiku solving and how is that benefiting you?** increasing efficiency ### 38. Great program **Rating:** 4.0/5.0 stars **Reviewed by:** Elisha F. | Bi Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Love that I can combine data from multiple sources in one spot **What do you dislike about Dataiku?** Can be hard if as it is not intuitive without training **What problems is Dataiku solving and how is that benefiting you?** It is giving insights ### 39. Great Event **Rating:** 4.0/5.0 stars **Reviewed by:** Khushi A. | Sr. Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Thanks for hosting us in the AI conference. Got to learn a lot!! **What do you dislike about Dataiku?** Tough to integrate with existing organization tools **What problems is Dataiku solving and how is that benefiting you?** Using analytics to solve business solutions ### 40. Awsome **Rating:** 5.0/5.0 stars **Reviewed by:** Jayant D. | Sr Architect, Enterprise (> 1000 emp.) **Reviewed Date:** April 20, 2025 **What do you like best about Dataiku?** It’s an awesome low code no code data science platform **What do you dislike about Dataiku?** I can’t think of anything apart from some of the missing plugins **What problems is Dataiku solving and how is that benefiting you?** Data transformation Model building ### 41. Its UI allows me to navigate easily **Rating:** 4.0/5.0 stars **Reviewed by:** Paulina Y. | Global Portfolio Marketing Director, Analytics, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Allows us to reduce time in model demployment **What do you dislike about Dataiku?** When will it provide a full suite of model risk mgmt products **What problems is Dataiku solving and how is that benefiting you?** Reduce time to market ### 42. Very intuitive **Rating:** 3.0/5.0 stars **Reviewed by:** Satish M. | Senior technical managers, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Uniform platform for Ai for engineering for enterprise **What do you dislike about Dataiku?** It is very common in the industry and 400 plus platforms exist **What problems is Dataiku solving and how is that benefiting you?** Simple self serving analysis **Official Response from Taylor MECHAM:** > It's great to hear that Dataiku is helping you with simple self-serving analysis. We're committed to providing solutions that benefit our users in their data analysis and AI endeavors. ### 43. Very organized and informative **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Mid-Market (51-1000 emp.) **Reviewed Date:** April 28, 2025 **What do you like best about Dataiku?** Elastic and agnostic to supplemental technology. **What do you dislike about Dataiku?** Dataiku is still not as well known in the technology sector. **What problems is Dataiku solving and how is that benefiting you?** Predictive models and customer segmentation. ### 44. The hall data Flow **Rating:** 5.0/5.0 stars **Reviewed by:** Jerica B. | Director de operaciones y proyectos, Small-Business (50 or fewer emp.) **Reviewed Date:** April 23, 2025 **What do you like best about Dataiku?** You can manage any kind of data flow all the way. **What do you dislike about Dataiku?** Agent interface from applications could be nicer **What problems is Dataiku solving and how is that benefiting you?** Data flows Data preparation LLMs models ### 45. Dataiku has empower my customer to take advantage of their data converting them in business value **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Telecommunications | Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Unique platform from access and clean the data upto realize value for the business **What do you dislike about Dataiku?** Trying to setup the security path to dataiku (sas version) it was a little tricky because a lot of restriction from my customer. It was hard to stablish a vpn conexion among the points **What problems is Dataiku solving and how is that benefiting you?** Analyze the underlying reasons for customer calls expressing dissatisfaction with service response times. ### 46. Great and business user friendly tool. **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I love dataiku cause it is a business user friendly tool that people who don’t know about sql can easily build their flows and get output for further analysis **What do you dislike about Dataiku?** Wish dataiku can have a better integration with cloud, so it can have more computing power **What problems is Dataiku solving and how is that benefiting you?** We use dataiku for reporting. It is a great tool to use for joining data. ### 47. Data analytics **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?** As a Data Engineer I like Data Analytics part and we can use AI to do that **What do you dislike about Dataiku?** I don't see any thing as of now, I need to explore more to dislike about DataIku. **What problems is Dataiku solving and how is that benefiting you?** I can connect all my different data sources and I don't need to worry everting is on one platform now results in expediting my ETL process. ### 48. Enterprise ready data wrangler **Rating:** 5.0/5.0 stars **Reviewed by:** Srinivasan R. | VP, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Share analytic workflows with others in the firm **What do you dislike about Dataiku?** Not opinionated enough to start a fresher in the organization **What problems is Dataiku solving and how is that benefiting you?** Marketing and risk identification ### 49. Data for all **Rating:** 5.0/5.0 stars **Reviewed by:** Nayan S. | EXECUTIVE DIRECTOR - BUSINESS INTELLIGENCE, WEALTH & ASSET MANAGEMENT FINANCE, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Ability to scale analytics for our business **What do you dislike about Dataiku?** Nothing I see at this moment except for using AI easier **What problems is Dataiku solving and how is that benefiting you?** Client engagement and analytics ### 50. Best Platform to work with **Rating:** 5.0/5.0 stars **Reviewed by:** Abraham J. | Director - Advanced Analytics Platform, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Unified distributed computing platform with Age tic AI. **What do you dislike about Dataiku?** Becoming thick client and getting difficult to manage **What problems is Dataiku solving and how is that benefiting you?** Market forecasts and sentiment analysis ## 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=3§ion=pricing&secure%5Bexpires_at%5D=2026-07-11+01%3A46%3A29+-0500&secure%5Bsession_id%5D=01335a7c-e1bb-4476-b024-5c4e56bb8b27&secure%5Btoken%5D=c8b667fa5c152506daa1988c9c6df9db6e9fc4ffaa0da741fbc34b5423be8614&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 (844 reviews) - [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) - 4.6/5.0 (494 reviews)