KNIME Analytics Platform
A platform for end-to-end data science, enabling the creation, deployment, and sharing of analytic models, data apps, and services
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| + | Drag and Drop Workflow Building | Create data workflows without needing to write code |
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| + | Data Source Connectors | Allows users to seamlessly integrate data from various sources, including databases, cloud platforms, files, and APIs |
| + | Interactive Data Views | Explore data with interactive charts, provides valuable insights and facilitates exploratory data analysis |
| + | Machine Learning Integration | Leverage AI/ML including large language models, empowering users to build and deploy sophisticated predictive models |
| + | Community Support | The active community provides valuable resources, support, and a wealth of shared workflows and extensions |
| + | Automated Workflows | Eliminate repetitive data manipulation with automation |
| + | Scalability | Empower any number of users to run workflows in a single environment |
| + | Custom Scripting | Integrate custom Python, R, SQL, Java, or C scripts |
| + | Knowledge Base Creation | Build and share reusable workflows as best practices |
...5 more features/limitations. Contact us to get a complete list of features and system requirements.
System Requirements
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Ratings
4.475
| Capterra | 4.65 based on 25 reviews |
|---|---|
| G2CROWD | 4.45 based on 67 reviews |
| Gartner | 4.75 based on 203 reviews |
| TrustRadius | 8.410 based on 66 reviews |
Written in
Java
Initial Release
2006-07-28
Repository
License
Categories
Notes
- Other KNIME products:
- KNIME Server: Enterprise software for team based collaboration, automation, management, and deployment of data science workflows, data, and guided analytics, read documentation
- KNIME Hub: A central platform for searching, organizing, and collaborating on data science workflows, components, and extensions created by the community, read more
- KNIME Edge: A distributed, container-based platform that moves consumption of models directly to where data is generated, read documentation