--- 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: '2026-07-05' 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. Visual Recipes and Ease of Use Make This a Joy to Work With **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Manufacturing | Enterprise (> 1000 emp.) **Reviewed Date:** April 13, 2026 **What do you like best about Dataiku?** I do enjoy greatly the visual recipes and ease of use **What do you dislike about Dataiku?** I dislike the fact that insights sometimes are just a snapshot in time, not re-usable **What problems is Dataiku solving and how is that benefiting you?** It is solving data and analytics problems ### 2. Dataiku : Making your Data Science work easy **Rating:** 4.0/5.0 stars **Reviewed by:** palbha n. | Data Science Specialist, Enterprise (> 1000 emp.) **Reviewed Date:** October 03, 2025 **What do you like best about Dataiku?** I find the platform very easy to use, which makes it great for quickly prototyping and getting your MVP out as soon as possible. It's also simple to plug and play, which really speeds up the process. **What do you dislike about Dataiku?** I find the documentation somewhat incomplete, with few tutorials available. It can be a struggle to find solutions when I need help. **What problems is Dataiku solving and how is that benefiting you?** Both MVP and end-to-end approaches allow for rapid use case development, but when it comes to building large-scale, scalable solutions with real impact, the process can be more challenging. ### 3. A robust, complete, and highly customizable platform! **Rating:** 5.0/5.0 stars **Reviewed by:** Ana Paula R. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** March 14, 2025 **What do you like best about Dataiku?** Dataiku has several great features. For me, the most important ones are the model version control, which allows you to track and compare different implementations, making it much easier to retrain and deploy models. Another key feature is the customizable recipes, especially in Python, a widely used language in data science. This brings great flexibility, along with numerous visually intuitive tools within the platform, enabling you to implement your code seamlessly within a data pipeline. **What do you dislike about Dataiku?** I’m not sure if I would point out something I don’t like about Dataiku, but areas for improvement would be the statistical analysis of data within the platform. Sometimes, you might want to perform a test on a column, but the process for graphical visualization either includes only a subset of the data or requires a long path to get there. **What problems is Dataiku solving and how is that benefiting you?** Dataiku is a comprehensive end-to-end platform, which makes it easy to ingest data and manage the entire pipeline until it is consumed by machine learning models. This is especially true for real-time models, where data can arrive through an endpoint, be processed, and then inserted into the model for inference. ### 4. Grow applications and ROI helping business units **Rating:** 5.0/5.0 stars **Reviewed by:** Iván P. | Vice President, Small-Business (50 or fewer emp.) **Reviewed Date:** April 01, 2025 **What do you like best about Dataiku?** Very simple to learn and use and integrate to your environment no matter which cloud provider you use. Streamlined interface. With Dataiku you can easily serve a lot of clients in the company: IT and business units. Helps to democratize access to information and creation of applications. Reuse code ... you have in Python ... use it. Implementing Dataiku is straightforward. Customer support really works **What do you dislike about Dataiku?** There is no simple and scalable price model for Gen AI applications. Dataiku Answers can be much more powerful ,,, it should exploit a data model more easily and give you graphs and not only text as answers. **What problems is Dataiku solving and how is that benefiting you?** - Creating Gen AI Agents (Bots) - Solving Churn (early detecting leaving customers) - Replacing SAS or some processes - Creating demand forecasting models - Replacing hand labour (Excel, CSV, text) processing. ### 5. Very Easy to Use with Numerous Use Cases **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 13, 2026 **What do you like best about Dataiku?** Very easy to use and numerous use cases. **What do you dislike about Dataiku?** I don’t dislike that much - nothing to declare here **What problems is Dataiku solving and how is that benefiting you?** Data transformation, reconciliation, machine learning ### 6. A better way to journey through the path of AI **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Its sheer capabilities of providing almost every aspect of AI project in low code no code way, its been long I did a genuine coding in a project thanks to the dataiku features that makes my job smooth and easy. Customer support is very very prompt and responsive, never I need to wait for more than 4 hours for a response to any query I raised. **What do you dislike about Dataiku?** I understand aggresive version release to keep up with the progress in GenAI field. but in any actual organization its not so easy to keep upgrading version every alternate month. I would love to see some major feature coming out as version release also provide as patch or plugin for previous version to avoid forcing to upgrade everytime. **What problems is Dataiku solving and how is that benefiting you?** We are able to provide our non technical employees a place to develop their idea. So we manage a dataiku platform with centralize architecture that let me as administrator manage the platform and keep my user free of worry and let them focus on use case. ### 7. Great Informaion. Gave me Perspectives on IA and how use by real companies **Rating:** 4.0/5.0 stars **Reviewed by:** Kevin F. | Website Admin and AI Expert, Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** What I liked most about the Dataiku AI Conference was how down-to-earth it all felt, even with all the high-tech talk. They made big ideas like Generative AI and machine learning easy to understand and actually useful for real businesses. The hands-on demos were solid, and you could tell they put thought into making sure folks from all walks of life felt welcome. It wasn’t just smart—it was practical, and that’s what really stuck with me. **What do you dislike about Dataiku?** One thing they could do better is cut down a bit on the buzzwords and tech lingo—sometimes it felt like they were talking to a room full of data scientists only. It’d be great if they offered more sessions geared toward small business folks or hands-on pros who want to use AI without needing a PhD. Also, a few more real-world case studies from regular companies—not just the big guys—would help show how this stuff works in the everyday world. Keep it smart, but make it more relatable. **What problems is Dataiku solving and how is that benefiting you?** The real estate model was very impressive. makes me think of what could be possible for me. ### 8. Dataiku: A High‑Octane Launchpad with Smart Checks and Balances **Rating:** 5.0/5.0 stars **Reviewed by:** Vikas B. | Director, Analytics Consulting, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Rapid proof‑of‑value: Visual flows & pre‑built connectors allowing to demo a live model on client data within days. Lower change‑management load: Because both power users and casual business folks stay in one UI, training overhead and resistance drops sharply. Smooth exit strategy: Strong vendor support and vibrant community let you hand over the keys without “consultant lock‑in” fears. Future‑proofing: Frequent releases add integrations (e.g., Snowflake Cortex, Vertex AI) are fast enough that the architecture diagrams don’t age out during mid project. **What do you dislike about Dataiku?** Steep license jumps once viewer counts or premium add‑ons grow - budget surprises at renewal. High compute appetite inflates cloud/on‑prem costs. Plugin/Python drift community plugins and shared environments break on upgrades without strict version pinning. Advanced features’ learning curve stalls adoption if you skip structured enablement. UI lag on projects with thousands of datasets pushes you to shared workspaces. **What problems is Dataiku solving and how is that benefiting you?** low code no code platform for enabling end business users ### 9. Informational and Exciting Experience **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?** Dataiku offers a multitude of benefits that make it an invaluable tool for organizations looking to leverage their data effectively. My favorite things is that its collaborative environment, which fosters teamwork among data scientists, analysts, and business users, enabling them to share insights and work together seamlessly. **What do you dislike about Dataiku?** A couple of things that I dislike about Dataiku, specifically within my organization is that we have had many unannounced errors arise. We could have a flow working for a lengthy period of time then one day it no longer works due to an error. These random errors can stop normal daily tasks to have to investigate errors that were not originally an issue. **What problems is Dataiku solving and how is that benefiting you?** Dataiku has allowed for me to take large forms of data and conduct calculations as well as summarize to use in business each day. Dataiku also allows for me to take this data and add even more information to be able to calculate forecasts and future possible outcomes. ### 10. Revolutionizing the way we interact with data **Rating:** 5.0/5.0 stars **Reviewed by:** Powers P. | Lead, Data Modernization, Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Dataiku is unbelievably easy to use and implement. It is almost unreal how powerful it is but even with all of the power behind it the set up and mapping is so intuitive you feel like you must be missing steps. It is slowly becoming a daily used system for our company and a cornerstone as we start to modernize our data. The support we have received from the internal team has been nothing short of fantastic. They are there to answer questions, walk you through implementations, and make the already easy integration process, even easier. **What do you dislike about Dataiku?** I haven't found anything I have disliked up until this point. **What problems is Dataiku solving and how is that benefiting you?** We wanted a solution that would allow non technical people interact with our data and gain insights. We wanted them to be able to do this independently and without having a team of report order takers to fulfill requests or random questions. That team still exists but for larger and more strategic requests. ### 11. Fast and Furious **Rating:** 4.5/5.0 stars **Reviewed by:** Abhishek S. | Senior Director - Head of AI, Small-Business (50 or fewer emp.) **Reviewed Date:** April 22, 2025 **What do you like best about Dataiku?** Easy drag and drop allows less SQL skilled people to analyze data. Reduces time to during EDA. Allows for a small team to rapidly build a capability for a new use case - other platforms take days to configure to onboard all users and data sources. Best AI platform to explore, test and create your proof of concepts that require frequent changes. **What do you dislike about Dataiku?** A MLOps module with UI to monitor the health of models that can be used by DS including communication module will be make this platform wholesome for an enterprise offering. **What problems is Dataiku solving and how is that benefiting you?** Scaling to non-DS user base for data analysis Reduced time to onboard a new AI model ### 12. Great orchestration tool for AI/ML/GenAI use cases **Rating:** 4.5/5.0 stars **Reviewed by:** Sumit M. | Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I love the fact that Dataiku makes the orchestration of AI/ML/GenAI models so easy and everything is in a single place. **What do you dislike about Dataiku?** There is nothing specific that I dislike but there were certain features that we discovered as part of exploring Dataiku but were later fixed by the Dataiku team. Given it is an evolving product and the AI landscape is changing so fast, they need to catch up faster than their competitors. **What problems is Dataiku solving and how is that benefiting you?** Making the orchestration easier not having to worry about building my own connectors with different sources, code environments, and having to write long lines of code. I can simply use the recipes that are inbuilt. ### 13. Great tool for performing Everyday Data Science & AI **Rating:** 4.0/5.0 stars **Reviewed by:** Tirth S. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** The features and capabilities of the Dataiku. I find Dataiku as a one stop shop for doing everyday analytics, data science and AI. **What do you dislike about Dataiku?** The infrastructure setup to host Dataiku stack on-premise was very painful. It took over 2 months just to setup the infrastructure to get Dataiku running on our cloud. **What problems is Dataiku solving and how is that benefiting you?** 1) It provides access to some of the most challenging to implement ML algorithms with just a click. 2) Helps fast track our journey through Data Science and ML use cases. 3) The low code and no code capabilities helps non programmers to get started with ML development and deployment quickly and efficiently. ### 14. My daily use Data Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Research | Mid-Market (51-1000 emp.) **Reviewed Date:** March 25, 2025 **What do you like best about Dataiku?** Like their company motto, Dataiku is our "Everyday AI" platform. From data preparation and Exploratory Data Analysis (EDA), to MLOps and AI models, Dataiku has everything we need to streamline our analytic and AI needs. Integrating our heterogeneous data sources is simple, and allows our staff to find the data they need and enrich it in just a few steps. The team administrating the platform at our organization can focus all their efforts in providing support and onboarding to our new users, and be sure to have the expert and excellent Dataiku support when needed. Today, around 20% of our organization's staff uses Dataiku at least once a week, to consume reports and dashboards, or to do their own analysis, thus making the decision making process a more efficient and robust one. **What do you dislike about Dataiku?** For some users, specially those used to doing all their tasks with code, the onboarding can be challenging. They might struggle to find the added value if they don't have a specific use case to start from. **What problems is Dataiku solving and how is that benefiting you?** Dataiku is solving our problem of producing consistent reports and improving our operations with readily available reports. ### 15. Its one of the smoothest transition for Data files **Rating:** 4.5/5.0 stars **Reviewed by:** shreyang p. | Quality Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Its really easy to join different servers and get the extract into one other server which makes a hard part easy for me by writing different SQL queries **What do you dislike about Dataiku?** I am still working on the application, but I see that there are not more plug ins for Power BI. If it was possible to send the extract file directly to Power BI that would help a lot for BI's **What problems is Dataiku solving and how is that benefiting you?** I wont need to write different SQL queries to get data out of different servers and also helps me to build a predictive analysis for maintenance shop ### 16. Connected Data & Data Cleansing **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Chemicals | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** The visual flow developer - I think it really helps users understand how their data is processed. The job log - allows user to follow each scenario run and troubleshoot any issues. Ability to copy projects - Often times I am looking to replicate a specific project - DataIku makes that very easy to do - making new project implementation very quick. **What do you dislike about Dataiku?** I can't think of any dislikes. The tool itself is intuitive to use and compartmentalizes information well. It's one tool that I can say I'm truly satisfied with. **What problems is Dataiku solving and how is that benefiting you?** DataIku solves my data connectivity issue - allowing me to interrogate several SQL databases and then clean, filter and sort the data. This data is then pushed to a user friendly output for many industrial employees to see. ### 17. Easy to use Data Analytics Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Airlines/Aviation | Enterprise (> 1000 emp.) **Reviewed Date:** May 06, 2025 **What do you like best about Dataiku?** The UI is easy to use, it just take me small amount of time to learn and understand the concept related to Dataiku and can create my own flow. The CS is very responsive, the reply to my question very fast. **What do you dislike about Dataiku?** I think Dataiku is already working with the latest trend of Ai, but I think it would be better if It include feature like the integrate between copilot & VS code, which allow seamless generation of code by AI **What problems is Dataiku solving and how is that benefiting you?** Dataiku solves problems like complex data pipeline management, collaboration within teams, and automating repetitive AI/ML tasks. It benefits me by simplifying workflows with a visual interface, also me and my teammate could collaborate more easier in the platform. ### 18. Simplifying the Machine Learning Workflow **Rating:** 4.5/5.0 stars **Reviewed by:** Marzieh k. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Love how this app makes ML development so easy! It takes care of the complicated stuff and lets you focus on building cool models **What do you dislike about Dataiku?** after some recent updates, we've experienced a few issues that disrupted our workflow. **What problems is Dataiku solving and how is that benefiting you?** Dataiku simplifies the machine learning workflow by providing built-in recipes that eliminate the need to rewrite repetitive code. This allows me to focus more on the overall pipeline and strategy, rather than getting bogged down in routine coding tasks. It saves time and helps maintain consistency across projects ### 19. Dataiku review **Rating:** 2.5/5.0 stars **Reviewed by:** Katrina B. | Overnight stock associate , Small-Business (50 or fewer emp.) **Reviewed Date:** September 16, 2025 **What do you like best about Dataiku?** I like that its basically ran by Ai and you don't have to do a whole lot **What do you dislike about Dataiku?** Nothing its a great app maybe a little costly but worth it **What problems is Dataiku solving and how is that benefiting you?** It solved my issue with keeping track of all my paperwork it does it all for me ### 20. The closest thing to end-to-end data analytics available. **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?** Dataiku combines the best features on data exploration, data pipelines, Dev Ops, data visualization, web apps development, machine learning, and generative AI. They are always adding new features, and they are constantly taking feedback and requests from the development community for new features. **What do you dislike about Dataiku?** There can be some translation issues with the terminology used in the product. I would also like to see a semantic layer feature instead of every transformation step writing a new table **What problems is Dataiku solving and how is that benefiting you?** Dataiku allows me to move from prototype to production quickly. During problem solving sessions, I can pull in data from many different sources to analyze and create a report or dashboard to monitor the situation without leaving the tool. ### 21. A partner worth its weight in gold **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?** As someone steering data strategy in wealth management, where client trust and regulatory rigor are non-negotiable, finding a platform that balances innovation with governance is paramount. After 18 months of using Dataiku across our global teams, here’s my candid take. Likes 1. Collaboration That Bridges Silos Dataiku’s unified environment has been transformative for breaking down walls between our quants, business analysts, and risk teams. For instance, building client segmentation models used to take weeks of back-and-forth. Now, data scientists prototype in Python while business analysts tweak logic visually, accelerating time-to-insight. One standout moment: A high-net-worth portfolio risk tool was co-developed by our quant team and advisors in half the usual time, thanks to shared workflows. 2. End-to-End Governance In wealth management, audit trails are lifeblood. Dataiku’s granular permissions and data lineage tracking (who did what, when) have made SOX and GDPR audits less painful. We recently traced a model’s decision logic back through six months of iterations during a regulatory review—without breaking a sweat. 3. Flexibility for Hybrid Use Cases Whether it’s batch-processing historical portfolio performance or real-time dashboards for advisors, Dataiku handles both gracefully. The integration with Snowflake and Tableau streamlined our migration to cloud-native analytics, while plugins for Bloomberg APIs let us pull market data without custom coding. **What do you dislike about Dataiku?** Dislikes** 1. Learning Curve for Non-Tech Stakeholders While analysts love the visual interface, our senior advisors initially struggled to embrace self-service dashboards. We’ve sunk hours into training, and even now, some revert to “just email me the PDF.” Dataiku’s business user onboarding feels half-baked compared to Power BI. 2. Real-Time Analytics Gaps For high-frequency trading scenario, Dataiku’s real-time capabilities lag. We had to bolt on Apache Kafka for live bond pricing alerts—a costly workaround. 3. Performance Hiccups at Scale A European client’s portfolio—10+ years of hourly trades across 20k assets—brought Dataiku to its knees. We ended up pre-aggregating data in Snowflake, which defeated the purpose of “in-platform” big data tools. **What problems is Dataiku solving and how is that benefiting you?** Dataiku isn’t perfect, but it’s the closest we’ve found to a Swiss Army knife for wealth management’s unique demands. The collaboration and governance features alone justify the investment, though I wish the pricing and real-time gaps were addressed. For firms ready to invest in training and hybrid architectures, it’s a powerhouse. Just don’t expect it to replace your entire stack overnight. Would I recommend it? Absolutely—but with a caveat: Treat it as a marathon partner, not a sprinting miracle worker. ### 22. Streamlined Low-code/No-code ETL and ML Platform **Rating:** 4.5/5.0 stars **Reviewed by:** Austin L. | Business Intelligence Manager, Enterprise (> 1000 emp.) **Reviewed Date:** April 09, 2025 **What do you like best about Dataiku?** I have been using Dataiku for over 3 years and it has made my day-to-day work more efficient. It is easy for me to set up ML models and build data pipelines in a short amount of time. **What do you dislike about Dataiku?** I think that Dataiku could develop a stronger online forum for users to come and share about their experiences using the platform. **What problems is Dataiku solving and how is that benefiting you?** Dataiku accelerates ML and data processing work. This helps me directly by speeding up the time-to-delivery of the models I build. ### 23. Great website and great platform!! **Rating:** 4.5/5.0 stars **Reviewed by:** Federico B. | IT manager, Packaging and Containers, Mid-Market (51-1000 emp.) **Reviewed Date:** August 22, 2025 **What do you like best about Dataiku?** It brings together data people analysts, engineers, scientists on one platform **What do you dislike about Dataiku?** honestly, is that it can feel a bit heavy and slow, especially on large projects with a lot of visual recipes or datasets. **What problems is Dataiku solving and how is that benefiting you?** Collaboration gaps, i think it brings data scientists, analysts, engineers, and business users into one shared workspace ### 24. Reduction of time to value **Rating:** 3.5/5.0 stars **Reviewed by:** Logan S. | Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Visual layout makes data transformation more clear. Built in tools speed up development time in particular with tools like the LLM recipes and ML model "battle" **What do you dislike about Dataiku?** I have noticed inconsistencies with how code is executed in a python notebook vs a python recipe. Sometimes that works in a recipe doesn't work in a notebook. Refusal to add global dark mode. **What problems is Dataiku solving and how is that benefiting you?** Simplifying the use and deployment of LLM projects in friendly interface. **Official Response from Taylor MECHAM:** > We're glad to hear that you find the visual layout and built-in tools helpful for data transformation and improved development time. We appreciate your feedback about the inconsistencies with code execution between Python notebooks and recipes—we'll share this with our team for further review and improvement. ### 25. Transformative Experience for a new omer **Rating:** 5.0/5.0 stars **Reviewed by:** Christopher B. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** As a newcomer to the field of Data Analytics, Dataiku’s no code approach allowed me to hit the ground running in a my new role and then as I got more comfortable with code, I’ve been able to really harness the power of Dataiku. **What do you dislike about Dataiku?** There can be a larger learning curve for those unfamiliar with data structures. **What problems is Dataiku solving and how is that benefiting you?** Automating large and small data processes in a fast and efficient manner . ### 26. Emerging player in Data Science **Rating:** 4.5/5.0 stars **Reviewed by:** Sanket B. | Technical Lead, Mid-Market (51-1000 emp.) **Reviewed Date:** August 20, 2025 **What do you like best about Dataiku?** One of the best feature in Dataiku is No code feature which can help resources who are not comfortable in coding. It supports Python/R libraries and workflow playbook. **What do you dislike about Dataiku?** Still expensive solution for implementation. **What problems is Dataiku solving and how is that benefiting you?** Generally Dataiku helped us to build Data Science projects and predictive analysis to build some KPI's. ### 27. Accelerating Data Workflows with Dataiku **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Commercial Real Estate | Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** It strikes a good balance between no-code workflows and also helps integrate code when required. It's a visual tool that handles the whole lifecycle of the data, it has the visual workflow style of KNIME and FME with the depth and flexibility of custom coding and cloud-based architecture. Great customer support by the way! It's also an intuitive platform to have new users onboarded on. **What do you dislike about Dataiku?** Performance can lag with large datasets, and partitioning isn't intuitive. Version controlling is great, but the roll back does not always work as intended especially within the coding environments. **What problems is Dataiku solving and how is that benefiting you?** Collaboration, versioning and non-local infrastructure. Those were the major pain-points that Dataiku alleviated. ### 28. Functionality **Rating:** 3.5/5.0 stars **Reviewed by:** Stacey Leveille-Casseus S. | Ecommerce Specialist, Small-Business (50 or fewer emp.) **Reviewed Date:** August 20, 2025 **What do you like best about Dataiku?** Strong version control, shared projects, and role-based access enhance teamwork across data and business teams **What do you dislike about Dataiku?** Some powerful capabilities are only available in higher-tier or enterprise versions, which may not be cost-effective for smaller teams **What problems is Dataiku solving and how is that benefiting you?** Covers the full data lifecycle: ingestion, preparation, modeling, deployment, and monitoring ### 29. Dataiku is a great low-code solution **Rating:** 4.0/5.0 stars **Reviewed by:** Josh B. | Sr Principal Analyst, People Analytics and Employee Experience, Enterprise (> 1000 emp.) **Reviewed Date:** April 17, 2025 **What do you like best about Dataiku?** I like how Dataiku supports low-code operations, but we can also create custom code in the environment and share it easily within our group. **What do you dislike about Dataiku?** Knowledge transfer for use of PromptStudio was a bit of a lift. The UI is a little less intuitive than other parts of Datiku **What problems is Dataiku solving and how is that benefiting you?** We have been using PromptStudio to test prompt ins multiple LLMs. Dataiku streamlines and simplifies this process once it is setup ### 30. Citizen data analyst **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Food Production | Small-Business (50 or fewer emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** The learning curve was easy. The trainings are readily available to go back to frequently. The videos are short yet adequate for learning purposes. The sample projects being sectioned into different learning sections made it easy to isolate and learn one functionality at a time. The capability to use python recipes without prior knowledge of python. **What do you dislike about Dataiku?** Running into error message that sometimes are hard to figure out with limited debugging options that are free. **What problems is Dataiku solving and how is that benefiting you?** Automating repetitive tasks that are otherwise time consuming, labor intensive and prone to errors. Forecasting and predictive analysis. providing business teams with reliable forecasts to use for business planning. ### 31. Rapid AI with DataIku **Rating:** 4.0/5.0 stars **Reviewed by:** John W. | Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 14, 2025 **What do you like best about Dataiku?** DataIku allows me to quickly train and evaluate multiple models on given data. The results immediately reveal dominant features. This allows me to better understand the data that I'm dealing with. DataIku accepts many data formats and sources. **What do you dislike about Dataiku?** In DataIku, Chart styling is not as intuitive as I'd expect. Feedback loops are not allowed/implemented. DataIku does not allow CTEs in sql queries, which has consequential unwanted data processing. **What problems is Dataiku solving and how is that benefiting you?** DataIku speeds up my selection of AI strategies and dominant feature discovery. ### 32. Dataiku G2 Review **Rating:** 4.5/5.0 stars **Reviewed by:** Kevin Z. | Business solutions architect, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** In my opinion, the user friendly interface that is super intuitive. The collaboration features facilitates great teamwork by enabling our users to work on projects at the same time. The end to end pipeline that supports the entire data workflow is also very easy to understand. **What do you dislike about Dataiku?** Even with the intuitive user friendly interface, there’s still a learning curve for people who are new to analytics. The performance isn’t always the best with large datasets or complex workflows either which causes slow processing times. **What problems is Dataiku solving and how is that benefiting you?** Merging large cross functional datasets for high value projects. ### 33. We work closely with dataiku with our data scientist in ou AI Factory **Rating:** 4.0/5.0 stars **Reviewed by:** agnes m. | Data Architect, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Things are easy, it boosts productivity and honestly it hasn't been this easy building with ai anywhere else **What do you dislike about Dataiku?** I don't think i have any remark for now it is very hands on with the new topics so i am fine for now **What problems is Dataiku solving and how is that benefiting you?** we use it for many usecase integrating ai in the bank ### 34. Review of dataiku as a developer **Rating:** 3.5/5.0 stars **Reviewed by:** melika v. | Data Scientist- Advanced AI and Analytics, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Bringing everything into one place, from data to model development and deployment. **What do you dislike about Dataiku?** Clusters shutting down for no reason, not that much stability in connections and the time it takes to add a library to a template cluster and rebuilding it. **What problems is Dataiku solving and how is that benefiting you?** It is benefiting prototyping an app and delivering it to clients ### 35. Dataiku has changed my job for the better! **Rating:** 5.0/5.0 stars **Reviewed by:** Fernando d. | Senior Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Dataiku excels at providing a collaborative, end-to-end platform that bridges the gap between visual data preparation and advanced coding for diverse teams. **What do you dislike about Dataiku?** Dataiku Application could be better. The concept of instances and concurrent users sometimes can conflict. **What problems is Dataiku solving and how is that benefiting you?** My job is to translate manual data related processes into dataiku flows and integrations. ### 36. AI conference **Rating:** 5.0/5.0 stars **Reviewed by:** Pranav A. | Senior Data Scientist, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Dataiku provides a unified platform that covers a wide range of the data science lifecycle. Users appreciate being able to connect to data, prepare it, build and evaluate machine learning models (using both AutoML and code), deploy models, visualize results, and manage governance all within one environment. **What do you dislike about Dataiku?** The licensing cost is frequently mentioned as a significant drawback, potentially putting it out of reach for smaller organizations or teams. Some users feel there's a lack of suitable pricing tiers below the full enterprise offering. **What problems is Dataiku solving and how is that benefiting you?** Low code is the best ### 37. New User to Dataiku **Rating:** 5.0/5.0 stars **Reviewed by:** Spencer V. | Senior Manager of Informatics, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I like the possibilities of the AI features of Dataiku. I am a new user so I do not have a lot of use yet. **What do you dislike about Dataiku?** I have limited use at the moment so I do not any dislikes so far. My company is transferring all of our Alteryx workflows to Dataiku. Alteryx is my mine tool that I utilize. My only dislike is the amount of time it'll take to transfer all workflows to Dataiku. **What problems is Dataiku solving and how is that benefiting you?** Dataiku will be taking the place of all Alteryx workflows ### 38. Dataiku for Advanced Analytics **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** March 24, 2025 **What do you like best about Dataiku?** Dataiku excels at creating a centralized platform for democratizing data for every user to collaborate regardless of their skill level. The platform is suitable for coders and non-coders, developers and business users, etc. Each release contains new Gen AI, machine learning or analytics capabilities and allows you to connect to source systems, build data workflows, interactive visualizations and automate the entire end-to-end life cycle. **What do you dislike about Dataiku?** I think the user documentation can be challenging to sift through, I wish information was collated within one repository instead of many different links. **What problems is Dataiku solving and how is that benefiting you?** Dataiku allows me to build end-to-end solutions leveraging big data at scale. ### 39. Dataiku for Data Science/AI projects **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** August 26, 2025 **What do you like best about Dataiku?** SImple to use & scale. Flexibity & integrated well into the any infra. **What do you dislike about Dataiku?** The main drawbacks of Dataiku is cost, scalability limitations, integration complexity, performance issues, and the need for user training. **What problems is Dataiku solving and how is that benefiting you?** Dataiku addressed critical issues in data quality, operational efficiency, analytics collaboration, AI scalability, compliance, and business-user empowerment, serving as a unified platform for enterprise data innovation and value generationtion. ### 40. Great platform for practical EDA and ML purposes **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consulting | Small-Business (50 or fewer emp.) **Reviewed Date:** March 24, 2025 **What do you like best about Dataiku?** You'd be hard pressed to create a platform with greater ease of use than Dataiku. Moving around the UI while performing data analytics or when showcasing the work performed by the team is seamless / effortless. New features also come out regularly and are constantly improving the platform. Ease of implementing the platform with other tools, such as Snowflake and Power BI, is also much appreciated. **What do you dislike about Dataiku?** Projects can get unruly once they become large enough. This can be alleviated by creating many flow zones. **What problems is Dataiku solving and how is that benefiting you?** Forecasting customer demand using data ingesting, prep, and time series analysis has been super valuable. ### 41. Comprehensive Data/AI workflows & Orchestration solution accessible to many enterprise user profiles **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Biotechnology | Enterprise (> 1000 emp.) **Reviewed Date:** April 04, 2025 **What do you like best about Dataiku?** The ability of Dataiku to serve the most advanced users, as well as business stakeholders. The flexibility and completeness of capabilities. A very strong potential for becoming a reference for AI workflow and orchestration. **What do you dislike about Dataiku?** Still a bit scary for new users, with a lot of buttons. But definitly worth the intial investment to make the first step. Significant admin work to ensure things run smoothly for end users. **What problems is Dataiku solving and how is that benefiting you?** Creates a collaborative space for business users and digital teams to develop advanced use cases. Makes AI workflows and data prep accessible to business users. ### 42. Review of Dataiku DSS **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Mid-Market (51-1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Dataiku stands out for its user-friendly interface, collaboration features, seamless integration with various data sources, automation of repetitive tasks, and scalability for handling large datasets and complex workflows. It's a versatile tool suitable for both beginners and experienced data scientists, I primarily like it for citizen data scientists. **What do you dislike about Dataiku?** It would be more helpful if Dataiku had auto-scaling virtual machines as part of their infrastructure. This will minimize overhead as an administrator for the application. **What problems is Dataiku solving and how is that benefiting you?** Data preparation, data science, and limited ML ops cases ### 43. Fantastic Data Tools for Low Code as well for Coding Analysts **Rating:** 5.0/5.0 stars **Reviewed by:** Rakesh H. | Vice President, Analytics & Data Products Strategy, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** It's one stop shop for all my data analysis need **What do you dislike about Dataiku?** Sometimes it's a bit of a drag in certain newer features but that gets better as it's stabilizes **What problems is Dataiku solving and how is that benefiting you?** Data curation for Data Science, AI teams. Making the lives of Data Analysts and Scientists easier. ### 44. Best-in-class, intuitive UI and UX, outstanding training offerings **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Enterprise (> 1000 emp.) **Reviewed Date:** March 28, 2025 **What do you like best about Dataiku?** Dataiku makes working with generative artificial intelligence simple. The platform is clear and easy to use, even if you're not a data expert. Building a GenAI project is intuitive and fast. Also, it is easy to try things and adjust without getting stuck. I value the diversity of training options, too. Dataiku offers self-paced learning possibilities, demos, and articles. There is a format for everyone, and they have made me more confident when using GenAI. **What do you dislike about Dataiku?** Some demos fill up quickly, but this usually is not a big problem. **What problems is Dataiku solving and how is that benefiting you?** Dataiku steepens my GenAI learning curve. ### 45. Easy and flexible tool for any type of user **Rating:** 4.5/5.0 stars **Reviewed by:** Krishna Prasad B. | Vice President, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Dataiku is a user-friendly and powerful data science platform that enables both technical and non-technical users to build, deploy, and manage AI projects collaboratively. With visual workflows, AutoML, and support for Python, R, and SQL, it balances simplicity with flexibility. Its strong integration, governance, and MLOps features make it ideal for scaling data initiatives across teams and industries. Great for accelerating data-driven decision-making. **What do you dislike about Dataiku?** None. Sometimes tool gets stuck in running complex jobs **What problems is Dataiku solving and how is that benefiting you?** Quick analytical insights to daily business decisions ### 46. Dataiku breaks down barriers **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Internet | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** Dataiku creates a collaborative environment for technical and non-technical users to bring AI to life. Dataiku breaks down barriers to entry with low/no-code, allowing users of all levels to gain experience and confidence in data science. **What do you dislike about Dataiku?** I'd be reaching for issues here but maybe some elements of the user interface could be improved? **What problems is Dataiku solving and how is that benefiting you?** Democratizing analytics via agentic AI; saving time, bandwidth, etc. by outsourcing time-consuming and repetitive analyses (both via agentic AI and ML models) ### 47. Best end-to-end ML platform **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Enterprise (> 1000 emp.) **Reviewed Date:** March 19, 2025 **What do you like best about Dataiku?** Users of any technical ability can jump in and become self-sufficient. Our team has power excel users to python/R coders and we can all use this platform and be productive. Amazing self-learning materials and reference examples. Best version of an "ML Studio" that allows more control over experiment design. **What do you dislike about Dataiku?** Setting up the roles for users and the seemingly endless discussions between IT and the business om who can have what rights and what the end user should be allowed to do within the system. **What problems is Dataiku solving and how is that benefiting you?** Standardizing our forecasting models across regions and analysts ### 48. great analytics and data science tool! **Rating:** 5.0/5.0 stars **Reviewed by:** Jonathan B. | Senior Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** April 25, 2025 **What do you like best about Dataiku?** The software is very easy to use and has great learning materials **What do you dislike about Dataiku?** Some of the user interfaces are a bit unintuitive, but can quickly be learned. **What problems is Dataiku solving and how is that benefiting you?** Exploratory analytics, streamlining workflows and automating manual efforts ### 49. Alteryx to Dataiku Convert **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?** Dataiku is very flexible and allows me to utilize fewer tools compared to Alteryx. This has allowed me to create smaller flows making them easier to follow. **What do you dislike about Dataiku?** It can be hard to find certain steps since there are many tools inside of one tool. **What problems is Dataiku solving and how is that benefiting you?** I work with a lot of data, especially dirty data and Dataiku allows me to manipulate the data I receive and turn it into something I can interpret. ### 50. Very user friendly **Rating:** 4.0/5.0 stars **Reviewed by:** Pratik M. | Data Strategy, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2025 **What do you like best about Dataiku?** I think super friendly. And best part about it it’s all in one. You do not have to navigate to multiple applications to from building the model or creating a flow. **What do you dislike about Dataiku?** So far I don’t have any complaints about Dataiku it’s working fine for me. **What problems is Dataiku solving and how is that benefiting you?** It’s providing me a platform where I perform all the data curation as well as analysis of data in single platform. And provide insights to stakeholders. ## 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=2§ion=pricing&secure%5Bexpires_at%5D=2026-07-06+15%3A55%3A25+-0500&secure%5Bsession_id%5D=0cfc2739-d17d-4dce-a569-f7cd8b81dbd4&secure%5Btoken%5D=bd8740179aea66a9c662b998525de5590c4409fc3b0014ad419e91a0bfc3d72b&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 (652 reviews) - [Alteryx](https://www.g2.com/products/alteryx/reviews) - 4.6/5.0 (829 reviews) - [Altair AI Studio](https://www.g2.com/products/rapidminer-studio/reviews) - 4.6/5.0 (494 reviews)