--- 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: '2026-07-13' 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 appreciate the **easy learning curve and comprehensive training resources** of Dataiku, enhancing their ML development experience. (80 reviews) - Users love the **ease of use** of Dataiku, finding it simplifies ML development and data integration. (79 reviews) - Users appreciate the **user-friendly and intuitive interface** of Dataiku, making data collaboration and analysis effortless. (45 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. (41 reviews) - Collaboration (40 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) - Time-Saving (38 reviews) **What users dislike:** - Users find the **learning curve steep** , especially for advanced features, complicating the experience for beginners. (43 reviews) - Users find the **steep learning curve** of Dataiku daunting, especially for beginners seeking to use advanced features. (25 reviews) - Users find that acquiring necessary knowledge for Dataiku's advanced features can be a **difficult learning** experience. (23 reviews) - Users experience **slow performance** with Dataiku, particularly when handling large datasets and complex scenarios. (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. (19 reviews) - Users face **performance issues** that disrupt workflow, complicate data preparation, and limit access to plugins for testing. (18 reviews) - Data Management Issues (14 reviews) - Missing Features (14 reviews) ## Dataiku Reviews ### 1. Dataiku Core Designer Certification **Rating:** 4.5/5.0 stars **Reviewed by:** Sai Kumar K. | Small-Business (50 or fewer emp.) **Reviewed Date:** June 22, 2020 **What do you like best about Dataiku?** Dataiku DSS is a complete data science tool with wide range of applications. It practically have everything you can ask for. **What do you dislike about Dataiku?** The statistics tab can be way better and interactive. **Recommendations to others considering Dataiku:** I would pick DSS over other tools in the industry any day if you are looking for a tool that can check all the boxes **What problems is Dataiku solving and how is that benefiting you?** I am planning to use Dataiku tool to manipulate data in Entertainment and media industry. Using DSS it gave me some fresh insights ### 2. DSS for all data analysis needs **Rating:** 4.0/5.0 stars **Reviewed by:** akshay k. | Business Technology Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** June 21, 2020 **What do you like best about Dataiku?** Visual recipes for data manipulation and modelling for big data. Ease to use. **What do you dislike about Dataiku?** Community can still improved and as tool is very powerful but weak community don’t let you benefit everything **Recommendations to others considering Dataiku:** If you need to easily handle big data and share flows with others. Best tool to use **What problems is Dataiku solving and how is that benefiting you?** Data integration, Data analysis and Data modelling. Very easy to use. Can be easily shared with the user/client for understanding and maintenance ### 3. User Friendly Tool For Data Science Professionals **Rating:** 5.0/5.0 stars **Reviewed by:** oshin p. | Associate Decision Science, Enterprise (> 1000 emp.) **Reviewed Date:** June 10, 2020 **What do you like best about Dataiku?** Scalability, Availability of various Pre processing Steps/Algorithms . And also the flexibility to tweak the algorithm parameters really helpful and useful **What do you dislike about Dataiku?** Nothing to dislike about this product, was useful till date **Recommendations to others considering Dataiku:** Excellent option if you are not hands on with coding but have the knowledge skills of Machine Learning/Data Science **What problems is Dataiku solving and how is that benefiting you?** To design and compare various models, customize the models as per my need and also scale it up without having to code allot! ### 4. Great user experience for experienced and non experienced Machine Learning users **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Mid-Market (51-1000 emp.) **Reviewed Date:** July 21, 2020 **What do you like best about Dataiku?** User interface, good learning materials enabling the fast introduction to the platform. An easy way to understand and present the data preparation flow. **What do you dislike about Dataiku?** Could have better support on platform installation and maintenance/tunning. Still small community, when it increases would be great to take care of small doubts and tips and tricks. **What problems is Dataiku solving and how is that benefiting you?** Better data preparation visualization, allowing a more visual way to show the process to business ### 5. Good for data exploration and data analytics **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Pharmaceuticals | Mid-Market (51-1000 emp.) **Reviewed Date:** June 19, 2020 **What do you like best about Dataiku?** Dataiku is a really nice tool if used wisely. My personal experience was good when I used it as a data exploration tool and analytics tool. **What do you dislike about Dataiku?** the visualisation offered by dataiku is way too simple for them to use in production and can't be used as an etl tool.but it's very nice tool for data exploration **Recommendations to others considering Dataiku:** Use for analytics and modelling **What problems is Dataiku solving and how is that benefiting you?** We were trying to extract paitent claim data and were trying to create an ADS (Analytics ready Dataset) out of it for reporting ### 6. Mature software **Rating:** 4.5/5.0 stars **Reviewed by:** Slavik K. | Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** June 10, 2020 **What do you like best about Dataiku?** Lot's of built in machine learning algorithms. **What do you dislike about Dataiku?** Heavy to install and requires skills to configure **Recommendations to others considering Dataiku:** give it a try **What problems is Dataiku solving and how is that benefiting you?** Exploratory analysis, quick and easy ### 7. Perfect tool in the market for data workflow **Rating:** 3.5/5.0 stars **Reviewed by:** Gissele G. | Project Specialist, Broadcast Media, Small-Business (50 or fewer emp.) **Reviewed Date:** September 21, 2019 **What do you like best about Dataiku?** This software is very helpful in attracting multiple users, the analyses it does are excellent, the interface it offers is very clean and easy to use for data engineering, data analysis and data visualization, innovation and constant improvements of the platform, such as its latest integration with GitHub, for example, make the tool a great added value, the perfect tool to gather data and expertise on the subject throughout the company and to ensure security. It also has a great collaboration environment and complete parameterization of Predictive and Machine Learning algorithms, with full access to its source code. **What do you dislike about Dataiku?** I wish there was a free version of dataiku elements", plus it doesn't do tasks on its own, but they're just small things. **Recommendations to others considering Dataiku:** This software is highly recommended. I would say you can trust it. **What problems is Dataiku solving and how is that benefiting you?** It helps us a lot with email, retail, automotive, marketing, tourism, etc. It is perfect for predictive maintenance, demand forecasting, dynamic pricing and more. ### 8. Does not scale **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Business Supplies and Equipment | Small-Business (50 or fewer emp.) **Reviewed Date:** August 06, 2020 **What do you like best about Dataiku?** Ease of use and has many options to modeling **What do you dislike about Dataiku?** Does not scale well for more number of users **What problems is Dataiku solving and how is that benefiting you?** Suddenly the DSS goes down ### 9. Nice UI, but not necessary for certain applications **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Financial Services | Small-Business (50 or fewer emp.) **Reviewed Date:** June 10, 2020 **What do you like best about Dataiku?** The ability to have "recipes" and pipelines for data is useful **What do you dislike about Dataiku?** For my particular application if the software which was developing ML models, it was not necessary and I find using open source libraries like Pandas with my preferred python IDE to be the most versatile **What problems is Dataiku solving and how is that benefiting you?** Data cleaning ### 10. Lovely data analytics software with cool insights **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** June 10, 2020 **What do you like best about Dataiku?** The histograms on each column and the recommendation of outliers. The major like from my side would be the algorithm recommendation after building model. **What do you dislike about Dataiku?** Data transformation could have been better with different summarization symbols. **What problems is Dataiku solving and how is that benefiting you?** Predictive maintenance and I don't see any other issues other than small tweak ### 11. Dataiku PoC Developer **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Airlines/Aviation | Mid-Market (51-1000 emp.) **Reviewed Date:** June 11, 2020 **What do you like best about Dataiku?** User experience and suppported ML models **What do you dislike about Dataiku?** Connectivity with certain Big Data environments like Kafka. **Recommendations to others considering Dataiku:** Web browser web is fantastic **What problems is Dataiku solving and how is that benefiting you?** Predicting employee attrition. reduce recruiting costs ### 12. A Good Support For Your Big Data **Rating:** 4.5/5.0 stars **Reviewed by:** Sümmani D. | Data Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** October 30, 2019 **What do you like best about Dataiku?** Ease of use Lots of recipes for your all kind of work **What do you dislike about Dataiku?** Workload, if user number is high and everybody working a big project, sometimes we got errors but it is not big deal. **What problems is Dataiku solving and how is that benefiting you?** Big data analysis Consumer insights Social media insights Image analytics ### 13. Dataiku is the best data workflow tool in the market! **Rating:** 5.0/5.0 stars **Reviewed by:** Somesh S. | Staff Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** April 26, 2019 **What do you like best about Dataiku?** Dataiku offers a very clean, intuitive and user-friendly interface with functionality for data engineering, data analytics and data visualization. The visual recipes specifically and the ability to transform data without writing code is the best feature of the tool. The ability to easily schedule jobs inside the tool itself is a great feature as well. Unlike most of it's competitors, allowing in database execution is what sets Dataiku apart from the rest. The innovation and constant improvements to the platform such as their latest integration with GitHub for example make the tool a huge value add. Lastly, the user friendly staff that is dedicated to customer success is simply phenomenal to work with. **What do you dislike about Dataiku?** The tool lacks good data visualization functionality. It does not offer drill down functionality in visualizations or interactive charts that work together. Additionally, the license cost is definitely on the higher end. **Recommendations to others considering Dataiku:** Definitely go for it! It's a great tool and a very innovative company. **What problems is Dataiku solving and how is that benefiting you?** Beyond supporting projects in every organization of the business such as Engineering, Supply Chain, Finance, Marketing, etc. the tool has enabled non-technical business users to build their own sustainable data products in our shared data lake environment. It has played a key role in our digital transformation. ### 14. Clean user experience and easy to use **Rating:** 4.5/5.0 stars **Reviewed by:** Bashir A. | Bashir Ali, Enterprise (> 1000 emp.) **Reviewed Date:** September 25, 2019 **What do you like best about Dataiku?** Dataiku provides tutorials on its many aspects. For example, there is a tutorial for building and training models for your dataset. **What do you dislike about Dataiku?** The free version does not come with a basic server to keep your datasets/flows on. **What problems is Dataiku solving and how is that benefiting you?** As part of work, we are solving social analytics and how social media can help us drive our decisions for the people ### 15. Best tool for both data scientists and data engineers **Rating:** 5.0/5.0 stars **Reviewed by:** gopal krishna reddy N. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** September 20, 2019 **What do you like best about Dataiku?** Easy of use,We are using it to build data pipeline for our data lake.It takes care of all the configuration things ,engineers just need to concentrate on scripting **What do you dislike about Dataiku?** Some of the restrictions on the platform,a better scheduler would be a good one **What problems is Dataiku solving and how is that benefiting you?** Data pipelining made simple ### 16. Excellent Technology to Drive Self-Service Data at Enterprise Scale **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Aviation & Aerospace | Mid-Market (51-1000 emp.) **Reviewed Date:** April 30, 2019 **What do you like best about Dataiku?** Dataiku Data Science Studio is a great technology for engaging users through multiple parts of the analytics life cycle across all skill levels in any division of the business. This makes it an excellent tool for bringing together data and subject matter expertise across the company and for ensuring governance and security. Additionally, Dataiku has many strong technologists in it's organization that ensure that the tool continues to evolved and stay contemporary in a fast moving space. **What do you dislike about Dataiku?** Licensing negotiations can be difficult and pricing is high enough that it can make stakeholders shy away. **Recommendations to others considering Dataiku:** Do a careful analysis of the vendors in this space and make sure you focus on technical capability. Many of the easier evaluation methods (especially quadrants) can be misleading because they do not weigh technical capability and enterprise capability as heavily as they should. **What problems is Dataiku solving and how is that benefiting you?** Enabling Self-Service Data at an enterprise scale. Specifically for data engineering and data science work. Benefits have included multi-million dollars of savings and democratization of data and analytics across the business. ### 17. Good when it works **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Machinery | Enterprise (> 1000 emp.) **Reviewed Date:** October 03, 2019 **What do you like best about Dataiku?** Ability to slice and dice data from the interface... it’s web based application used to blast our data to entire org **What do you dislike about Dataiku?** Glorified excel, slow to use and often is not very customizable **Recommendations to others considering Dataiku:** Evaluate the requirements before plunging into this **What problems is Dataiku solving and how is that benefiting you?** Not very customizable or dynamic...Like the canned reports ### 18. Complete package **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** October 29, 2019 **What do you like best about Dataiku?** The fact that whole process can be done under one platform **What do you dislike about Dataiku?** Cannot run all the models and validation is bit tricky **What problems is Dataiku solving and how is that benefiting you?** It has automated whole process which would bave taken weeks to done ### 19. It help me as a data scientist to explore multiple fields on a single platform **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** December 18, 2018 **What do you like best about Dataiku?** It's a single platform to compute possibly everything and very user friendly. Supports all the programming languages that are in market today. Very robust and adaptive to new processes and technologies **What do you dislike about Dataiku?** NoIt performs tasks on its own so we get less chances to explore our knowledge **Recommendations to others considering Dataiku:** It's a need of the hour to invest time n learn this amazing tool as it's used in is really growing in most of the industries **What problems is Dataiku solving and how is that benefiting you?** Using dataiku to implement NLP on a dataset consisting publications in the university business school. Performing data manipulation activities using regression and cleaning ### 20. Fully collaborative, high ROI and productivity-oriented data science platform **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Oil & Energy | Mid-Market (51-1000 emp.) **Reviewed Date:** May 31, 2017 **What do you like best about Dataiku?** - very intuitive yet complete data science platform - connecting to any kind of data bases (SQL, NOSQL, HADOOP, Cloud, Internet Server, FTP, etc) - all the data-transformation, ML and scoring workflow can be exported to Python, R or other script - possibility to plug-in pre-existing scripts in Python, R, - collaborative environment - full parametrization of the Predictive and Machine Learning algorithms, with full access to their source code - beautiful interface that allows the data science user to increase productivity and get the things done, with absolutely no time wasted on struggling with the software **What do you dislike about Dataiku?** - data visualization could be improved - a free "dataiku elements" version would be awesome **What problems is Dataiku solving and how is that benefiting you?** Many succesful applications for Oil and Gas industry, fin-tech, e-commerce, retail, automotive, marketing, tourism, etc. Especially useful for the following workflows: > Predictive Maintenance > Dynamic Segmentation > Churn detection and minimization > Customer Lifetime value prediction > Demand Forecast > Dynamic Pricing ### 21. Best Data Analysis Software **Rating:** 4.0/5.0 stars **Reviewed by:** Swapnil P. | Lead Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** January 20, 2017 **What do you like best about Dataiku?** The setup process was really easy and clear. I was able to start using the functions very quickly. I like the User Interface and the ease of using the controls. I would definitely recommend this software to anyone looking for full fledged data science abilities. **What do you dislike about Dataiku?** I just wish that there should be a FREE light version. **What problems is Dataiku solving and how is that benefiting you?** Trend analysis and root cause 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=5§ion=pricing&secure%5Bexpires_at%5D=2026-07-13+14%3A10%3A58+-0500&secure%5Bsession_id%5D=c599f009-358e-4f05-b1a3-9c74a8c1b22d&secure%5Btoken%5D=ce22c1ed7680d45414ba94e1a00877878949a2de691030378f36c2e6f7b67209&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)