Low-Code No-Code Platforms (132) - Research Data by Amit Puri

DataRobot.com

Decisions

Dataiku

Everyday AI, Extraordinary People

^{No signup info available}

Makers friendliness high

Build, deploy, and manage data, analytics, and AI projects, realizing your Everyday AI vision.

No-Code AI

Note: We are in the process of evaluating platforms based on our Core Criteria, Extended Criteria, and Code AI Criteria. The ratings for these categories will be published soon. Thank you for your patience as we ensure a thorough and accurate assessment.

Core Criteria

Complexity Management

Cost Efficiency

Customization Flexibility

Integration Capability

Interoperability

Legacy Modernization

Scalability

Cloud Vendor Neutrality

Deployment Control

Rapid Prototyping

Feature Extensibility

UI Visual Development

Workflow Automation

Security Features

Time-to-Market

Extended Criteria

Ecosystem Compatibility

hpaPaaS Vendor Neutrality

Development Speed

No-code Database Support

Component Library Support

AI Performance and Usability

AI Customization and Ethics

Platform Support by Agencies or ISVs

Code AI Criteria

Code Quality

Code Performance

Generated Code Customizability

AI-Assisted Debugging

Code Generation Accuracy

Code Efficiency

Code Readability

Error Rate in Generated Code

Code Security

Dataiku

Features
Collaborative Data Science: Dataiku enables users to leverage the input and expertise of everyone in their organization, from data scientists to more operational team members. Data Prep Visual Interface: Dataiku provides a unique visual interface for data preparation, where users do not need any coding skills and can prepare the data by just selecting the required transformations. Data Science Studio: With the integrated code, visual functions, and datasets, Dataiku's data science studio provides an end-to-end platform for building, deploying, and monitoring all the data science, machine learning, and AI models in one place. Scalability and Automation: The platform is capable of automating many complex and high-level tasks, such as feature engineering, machine learning modeling, and optimization modeling. Model Management: Dataiku includes functionality for tracking the lifecycle of models including versioning, auditing, and rollback facility, reducing the risks associated with deploying models in production. Explainability of AI: Dataiku also offers transparency in the artificial intelligence models, offering insights into the workings of the models, making it easier to understand and trust. Easy Deployment: It offers easy deployment features where users can design, build, and run their predictive applications, and deploy them into production with just a few clicks. Integration and APIs: Dataiku integrates with popular data storage and computing technologies and also offers APIs for extending the Data Science Studio or integrating with other systems. No-Code/Low-Code capabilities: It allows users, despite their technical expertise, to prepare, build, and deploy AI solutions using its no-code/low-code capabilities. Sicherheit und Governance: Dataiku bietet umfassende Governance-Funktionen und Sicherheitskontrollen für die Datennutzung und den Datenschutz. Multiple Language Support: It offers support for Python, SQL, and R to leverage the skills of your team effectively. Security and Governance: Dataiku provides robust governance features and security controls for data usage and data privacy.

Features

Collaborative Data Science: Dataiku enables users to leverage the input and expertise of everyone in their organization, from data scientists to more operational team members.
Data Prep Visual Interface: Dataiku provides a unique visual interface for data preparation, where users do not need any coding skills and can prepare the data by just selecting the required transformations.
Data Science Studio: With the integrated code, visual functions, and datasets, Dataiku's data science studio provides an end-to-end platform for building, deploying, and monitoring all the data science, machine learning, and AI models in one place.
Scalability and Automation: The platform is capable of automating many complex and high-level tasks, such as feature engineering, machine learning modeling, and optimization modeling.
Model Management: Dataiku includes functionality for tracking the lifecycle of models including versioning, auditing, and rollback facility, reducing the risks associated with deploying models in production.
Explainability of AI: Dataiku also offers transparency in the artificial intelligence models, offering insights into the workings of the models, making it easier to understand and trust.
Easy Deployment: It offers easy deployment features where users can design, build, and run their predictive applications, and deploy them into production with just a few clicks.
Integration and APIs: Dataiku integrates with popular data storage and computing technologies and also offers APIs for extending the Data Science Studio or integrating with other systems.
No-Code/Low-Code capabilities: It allows users, despite their technical expertise, to prepare, build, and deploy AI solutions using its no-code/low-code capabilities.
Sicherheit und Governance: Dataiku bietet umfassende Governance-Funktionen und Sicherheitskontrollen für die Datennutzung und den Datenschutz.
Multiple Language Support: It offers support for Python, SQL, and R to leverage the skills of your team effectively.
Security and Governance: Dataiku provides robust governance features and security controls for data usage and data privacy.

DataRobot.com

Dataiku

Everyday AI, Extraordinary People

Decisions

Research Data

Dataiku

Everyday AI, Extraordinary People

^{No signup info available}

Makers friendliness high

Core Criteria

Extended Criteria

Code AI Criteria

Notes - Dataiku

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Dataiku

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