Dataiku Features

As reported in 76 Dataiku reviews. Reports interface for standard and self-service reports is intuitive and easy to use.

As reported in 75 Dataiku reviews. Requires a minimal number of steps/clicks to answer business question.

Offers a variety of attractive graph and chart formats. 76 reviewers of Dataiku have provided feedback on this feature.

Based on 74 Dataiku reviews. Score cards visually track KPI's.

As reported in 76 Dataiku reviews. Provides business users an interface to easily design, refine and collaborate on their dashboards

Using formulas based on existing data elements, users can create and calculate new field values. This feature was mentioned in 75 Dataiku reviews.

Based on 74 Dataiku reviews. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Users can drill down and explore data to discover new insights. This feature was mentioned in 74 Dataiku reviews.

Ability to search global data set to find and discover data. This feature was mentioned in 74 Dataiku reviews.

Ability for users to share data and reports they have built within the BI tool and outside the tool through other collaboration platforms. This feature was mentioned in 74 Dataiku reviews.

As reported in 74 Dataiku reviews. Tool automatically suggests data types, schemas and hierarchies.

Analyze current and historical trends to make predictions about future events. This feature was mentioned in 74 Dataiku reviews.

Communicate complex information clearly and effectively through advanced graphical techniques. This feature was mentioned in 75 Dataiku reviews.

Ability to handle large, complex, and/or siloed data sets. 74 reviewers of Dataiku have provided feedback on this feature.

Based on 91 Dataiku reviews. Converts data formats of source data into the format required for the reporting system without mistakes.

Ability to (re)structure data in a manner that allows extracting insights fast and accurate. 88 reviewers of Dataiku have provided feedback on this feature.

Provides business users an interface to easily design and refine their dashboards and reports. (What You See Is What You Get) This feature was mentioned in 85 Dataiku reviews.

As reported in 89 Dataiku reviews. Application Programming Interface - Specification for how the application communicates with other software. API's typically enable integration of data, logic, objects, etc with other software applications.

Supports a variety of scripting environments This feature was mentioned in 35 Dataiku reviews.

Based on 35 Dataiku reviews. Mines data from databases and prepares data for analysis

Applies statistical algorithms to selected data This feature was mentioned in 35 Dataiku reviews.

As reported in 37 Dataiku reviews. Analyzes both structured and unstructured data

Based on 37 Dataiku reviews. Interacts with data to prepare it for visualizations and models

Based on 35 Dataiku reviews. Offers modeling capabilities

As reported in 36 Dataiku reviews. Creates data visualizations or graphs

As reported in 35 Dataiku reviews. Generates reports of data performance

Unifies information on a singular platform 36 reviewers of Dataiku have provided feedback on this feature.

As reported in 78 Dataiku reviews. Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Offers the ability for developers to drag and drop pieces of code or algorithms when building models This feature was mentioned in 77 Dataiku reviews.

As reported in 78 Dataiku reviews. Provides users with pre-built algorithms for simpler model development

Supplies large data sets for training individual models This feature was mentioned in 77 Dataiku reviews.

As reported in 77 Dataiku reviews. Transforms raw data into features that better represent the underlying problem to the predictive models

As reported in 74 Dataiku reviews. Offers image recognition services

Based on 74 Dataiku reviews. Offers natural language processing services

Offers natural language generation services 73 reviewers of Dataiku have provided feedback on this feature.

Offers artificial neural networks for users 72 reviewers of Dataiku have provided feedback on this feature.

Offers natural language understanding services This feature was mentioned in 68 Dataiku reviews.

Provides deep learning capabilities This feature was mentioned in 69 Dataiku reviews.

Manages the intelligent application for the user, reducing the need of infrastructure This feature was mentioned in 74 Dataiku reviews.

As reported in 77 Dataiku reviews. Allows users to insert machine learning into operating applications

As reported in 76 Dataiku reviews. Provides easily scaled machine learning applications and infrastructure

As reported in 15 Dataiku reviews. Allows users to input models built in a variety of languages.

Allows users to choose the framework or workbench of their preference. 15 reviewers of Dataiku have provided feedback on this feature.

As reported in 15 Dataiku reviews. Records versioning as models are iterated upon.

Provides a way to quickly and efficiently deploy machine learning models. This feature was mentioned in 15 Dataiku reviews.

Offers a way to scale the use of machine learning models across an enterprise. 15 reviewers of Dataiku have provided feedback on this feature.

As reported in 12 Dataiku reviews. Allows users to input models built in a variety of languages.

As reported in 13 Dataiku reviews. Allows users to choose the framework or workbench of their preference.

Based on 13 Dataiku reviews. Records versioning as models are iterated upon.

As reported in 13 Dataiku reviews. Provides a way to quickly and efficiently deploy machine learning models.

Based on 13 Dataiku reviews. Offers a way to scale the use of machine learning models across an enterprise.

Facilitates analysis of high-volume, real-time data. This feature was mentioned in 44 Dataiku reviews.

Allows user to query data through query languages like SQL. This feature was mentioned in 39 Dataiku reviews.

Based on 38 Dataiku reviews. Aligns processing and distribution workflows on top of Apache Hadoop

As reported in 40 Dataiku reviews. Aligns processing and distribution workflows on top of Apache Spark

Integrates data from multiple external databases. 41 reviewers of Dataiku have provided feedback on this feature.

Based on 44 Dataiku reviews. Facilitates the dissemination of collected big data throughout parallel computing clusters.

Processes data and represents interpretations in a variety of graphic formats. This feature was mentioned in 42 Dataiku reviews.

As reported in 41 Dataiku reviews. Strings together specific functions and datasets to automate analytics iterations.

Isolates certain datasets and facilitates management of data access. This feature was mentioned in 40 Dataiku reviews.

Allows big data tool to run and record data within external applications. 40 reviewers of Dataiku have provided feedback on this feature.

As reported in 35 Dataiku reviews. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations

Control model usage and performance in production 13 reviewers of Dataiku have provided feedback on this feature.

Deploy mission-critical ML applications where and when you need them 13 reviewers of Dataiku have provided feedback on this feature.

Based on 13 Dataiku reviews. Easily compare experiments—code, hyperparameters, metrics, predictions, dependencies, system metrics, and more—to understand differences in model performance.

Records and organizes all machine learning models that have been deployed across the business. This feature was mentioned in 13 Dataiku reviews.

As reported in 13 Dataiku reviews. Tracks the performance and accuracy of machine learning models.

Based on 13 Dataiku reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.

Based on 13 Dataiku reviews. Allows users to manage model artifacts and tracks which models are deployed in production.

As reported in 12 Dataiku reviews. Records and organizes all machine learning models that have been deployed across the business.

As reported in 13 Dataiku reviews. Tracks the performance and accuracy of machine learning models.

Based on 13 Dataiku reviews. Provisions users based on authorization to both deploy and iterate upon machine learning models.

Based on 75 Dataiku reviews. Gives user ability to import a variety of data sources for immediate use

Based on 65 Dataiku reviews. Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Based on 63 Dataiku reviews. Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

Based on 62 Dataiku reviews. Using formulas based on existing data elements, users can create and calculate new field values

Based on 62 Dataiku reviews. Business users have the ability to filter data in a report based on predefined or automodeled parameters.

As reported in 62 Dataiku reviews. Allows the user to combine data from multiple sources into a functioning dataset.

Provides personalized responses to interlocator based on segmentation or past responses.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Can have a natural, human-like conversation with an interlocator.

Allows business to edit conversations to meet the unique needs of one's business.

Gives users the ability to update systems, like CRM, based on conversations.

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt. 50 reviewers of Dataiku have provided feedback on this feature.

Based on 50 Dataiku reviews. Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Based on 20 Dataiku reviews. Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary. 20 reviewers of Dataiku have provided feedback on this feature.

Allows users to generate text based on a text prompt. 60 reviewers of Dataiku have provided feedback on this feature.

As reported in 60 Dataiku reviews. Condenses long documents or text into a brief summary.

Provides the ability to generate images from a text prompt. 59 reviewers of Dataiku have provided feedback on this feature.

As reported in 18 Dataiku reviews. Ensures that the service is reliable and available when needed, minimizing downtime and service interruptions.

As reported in 18 Dataiku reviews. Allows the user to scale the training of models efficiently, making it easier to deal with larger datasets and more complex models.

Provides the user the ability to get quick and low-latency responses during the inference stage, which is critical for real-time applications. This feature was mentioned in 15 Dataiku reviews.

Offers the user a transparent pricing model for API calls, enabling better budget planning and cost control. 16 reviewers of Dataiku have provided feedback on this feature.

Provides the user the ability to allocate computational resources based on demand, making it cost-effective. 10 reviewers of Dataiku have provided feedback on this feature.

Allows the user to minimize energy usage during both training and inference, which is becoming increasingly important for sustainable operations.

Based on 16 Dataiku reviews. Offers the user the flexibility to deploy across multiple cloud providers, reducing the risk of vendor lock-in.

Provides the user the ability to seamlessly connect with various data sources and pipelines, simplifying data ingestion and pre-processing. 17 reviewers of Dataiku have provided feedback on this feature.

Based on 16 Dataiku reviews. Allows the user to easily integrate the generative AI models into existing workflows and systems via APIs.

Helps the user maintain compliance with GDPR and other data protection regulations, which is crucial for businesses operating globally. 15 reviewers of Dataiku have provided feedback on this feature.

Allows the user to set up access controls based on roles within the organization, enhancing security. 15 reviewers of Dataiku have provided feedback on this feature.

As reported in 15 Dataiku reviews. Ensures that data is encrypted during transit and at rest, providing an additional layer of security.

Provides the user with comprehensive and clear documentation, aiding in quicker adoption and troubleshooting. This feature was mentioned in 16 Dataiku reviews.

Allows the user to gauge the level of community support and third-party extensions available, which can be useful for problem-solving and extending functionality. 15 reviewers of Dataiku have provided feedback on this feature.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

As reported in 26 Dataiku reviews. Supports integration with multiple data sources for seamless data input.

Enhances output accuracy and speed through efficient ingestion and processing of training data. 27 reviewers of Dataiku have provided feedback on this feature.

Generates actionable insights by applying learned patterns to key issues. This feature was mentioned in 28 Dataiku reviews.

As reported in 28 Dataiku reviews. Continuously improves and adapts to new data using specified algorithms.

Based on 11 Dataiku reviews. Provides users with the ability to test and optimize prompts to improve LLM output quality and efficiency.

Based on 11 Dataiku reviews. Gives users a collection of reusable prompt templates for various LLM tasks to accelerate development and standardize output.

Based on 11 Dataiku reviews. Offers tools for users to compare multiple LLMs side-by-side based on performance, speed, and accuracy metrics.

Based on 11 Dataiku reviews. Provides users with a user-friendly interface for fine-tuning LLMs on their specific datasets, allowing better alignment with business needs.

As reported in 11 Dataiku reviews. Gives users tools to integrate LLM functionality into their existing applications through SDKs and APIs, simplifying development.

As reported in 11 Dataiku reviews. Offers users the capability to deploy models quickly to production environments with minimal effort and configuration.

Provides users with tools to automatically scale LLM resources based on demand, ensuring efficient usage and cost-effectiveness. This feature was mentioned in 11 Dataiku reviews.

As reported in 11 Dataiku reviews. Gives users the ability to set boundaries and filters to prevent inappropriate or sensitive outputs from the LLM.

As reported in 11 Dataiku reviews. Offers users tools to ensure their LLMs adhere to compliance standards such as GDPR, HIPAA, and other regulations, reducing risk and liability.

As reported in 11 Dataiku reviews. Gives users notifications when the LLM performance deviates significantly from expected norms, indicating potential model drift or data issues.

Provides users with live insights into model accuracy, latency, and user interaction, helping them identify and address issues promptly. This feature was mentioned in 11 Dataiku reviews.

Provides users with encryption capabilities for data in transit and at rest, ensuring secure communication and storage when working with LLMs. This feature was mentioned in 11 Dataiku reviews.

Offers users tools to set access permissions for different roles, ensuring only authorized personnel can interact with or modify LLM resources. 11 reviewers of Dataiku have provided feedback on this feature.

Provides users with middleware to route requests efficiently to the appropriate LLM based on criteria like cost, performance, or specific use cases. This feature was mentioned in 11 Dataiku reviews.

Gives users tools to process multiple inputs in parallel, improving inference speed and cost-effectiveness for high-demand scenarios. This feature was mentioned in 11 Dataiku reviews.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Lets teams configure execution order and dependencies among AI components, ensuring workflows run smoothly and logically.

Streamlines the management of multiple AI models and agents by bringing them together into cohesive, automated workflows for complex business tasks.

Connects with a wide array of AI model APIs and external services, regardless of provider, within a single orchestration platform.

Enables the construction of sophisticated, multi-step AI workflows that combine specialized models for end-to-end process automation.

Integrates seamlessly with enterprise platforms such as CRMs, databases, and business applications for unified data and process flow.

Supports the setup of live data pipelines that move information instantly between AI components and enterprise systems.

Offers comprehensive dashboards to visualize KPIs and performance metrics for all orchestrated AI workflows.

Generates in-depth reports on workflow performance, resource consumption, and the overall business impact of AI orchestration.

Tracks and displays resource usage across all AI components, enabling proactive performance tuning and troubleshooting.

Dynamically manages and allocates computational resources, including GPU clusters, to maximize efficiency based on current workflow needs.

Scales AI workloads up or down automatically, adapting to fluctuations in processing demands and user traffic.

Provides insights into data flow, processing times, and success rates for each individual AI component within a workflow.

Ensures all AI workflows adhere to relevant regulatory standards and industry requirements.

Empowers organizations to enforce governance policies and compliance controls across orchestrated AI operations.

Facilitates the setup of role-based permissions and approval workflows for sensitive AI operations and deployments.

Maintains comprehensive logs and audit trails of workflow executions to support compliance and troubleshooting efforts.

Applies robust security protocols and policies to protect sensitive AI deployments and data flows.

Enables non-technical users to build dashboards through intuitive, drag-and-drop interfaces

Enables automated report generation and scheduled delivery to stakeholders

Allows dashboards and analytics to be embedded into external apps with branding flexibility

Supports integration with major data sources like cloud data warehouses, SQL/NoSQL databases, and SaaS applications

Efficiently processes large datasets with minimal lag and ensures high performance under load

Maintains performance and uptime during high traffic from multiple users or teams

Supports semantic data layers, role-based access controls, and metadata governance

Integrates with Jupyter, Python, or R for custom analytics and modeling

Provides native tools for statistical analysis, forecasting, and trend prediction

Uses AI to generate textual summaries, key takeaways, and data stories from dashboards

Allows users to query data and build reports using conversational or plain language

Detects and notifies users about KPI anomalies or significant metric changes in real time

Recommends next questions, analyses, or exploration paths using autonomous AI agents

Learns from historical user interactions to improve and personalize query results over time

Tailors dashboard views and suggestions based on user roles, access levels, and past behavior

Supports AI-driven exploration via prompts or multi-turn conversations for iterative querying

Analyzes incoming datasets to surface missing values, distributions, outliers, and data quality issues automatically

Enables users to ingest data from diverse sources (databases, APIs, cloud storage, spreadsheets) without custom coding

Automatically alerts users when incoming data’s schema deviates from expected structure over time

Suggests or auto‑selects candidate algorithms and hyperparameters based on dataset characteristics

Allows users to insert custom code (e.g. Python, R, SQL) or custom modules into pipeline stages for flexibility

Automatically proposes or applies derived features to improve model performance