Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Two complementary tools, one enterprise-grade platform. Open source KNIME Analytics Platform to create data science. Commercial KNIME Server to produce data science. KNIME Analytics Platform is an open-source software that creates data science. KNIME is intuitive, open, and constantly integrating new developments. It makes data science and designing data science workflows as easy as possible. KNIME Server Enterprise Software is used to facilitate team-based collaboration, automation, and management of data science workflows, as well as the deployment and management of analytical applications and services. Non-experts have access to KNIME WebPortal and REST APIs. Extensions for KNIME Analytics Platform allow you to do more with your data. Some are created and maintained by KNIME, while others are contributed by the community or our trusted partners. Integrations are also available with many open-source projects.
Description
Empowering all AI and machine learning initiatives within enterprises to yield reliable and beneficial outcomes is crucial. Data scientists require a platform that guarantees reproducibility for their experiments, ensures discoverability of every asset, and streamlines the transfer of knowledge. Meanwhile, managers need a specialized data science solution to safeguard knowledge, automate reporting tasks, and simplify review processes. Vectice aims to transform the operational dynamics of data science teams and enhance their collaboration. The ultimate objective is to foster a consistent and advantageous impact of AI and ML across various organizations. Vectice is introducing the first automated knowledge solution that is not only cognizant of data science but also actionable and seamlessly integrates with the tools utilized by data scientists. The platform automatically captures all assets generated by AI and ML teams, including datasets, code, notebooks, models, and runs, while also creating comprehensive documentation that spans from business requirements to production deployments, ensuring that every aspect of the workflow is covered efficiently. This innovative approach allows organizations to maximize their data science potential and drive meaningful results.
API Access
Has API
No
API Access
Has API
No
Integrations
Actian Data Platform
Yes
Amazon Redshift
No
Amazon S3
No
Amazon SageMaker
No
Azure Marketplace
Yes
CDD Vault
Yes
GitHub
No
Google Cloud BigQuery
No
IRI Data Protector Suite
Yes
IRI FieldShield
Yes
Integrations
Actian Data Platform
No
Amazon Redshift
Yes
Amazon S3
Yes
Amazon SageMaker
Yes
Azure Marketplace
No
CDD Vault
No
GitHub
Yes
Google Cloud BigQuery
Yes
IRI Data Protector Suite
No
IRI FieldShield
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
KNIME
Country
Switzerland
Website
www.knime.com
Vendor Details
Company Name
Vectice
Website
www.vectice.com
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Predictive Analytics
AI / Machine Learning
Yes
Benchmarking
No
Data Blending
Yes
Data Mining
No
Demand Forecasting
No
For Education
No
For Healthcare
No
Modeling & Simulation
No
Sentiment Analysis
No
Product Features
Data Science
Access Control
No
Advanced Modeling
No
Audit Logs
No
Data Discovery
No
Data Ingestion
No
Data Preparation
No
Data Visualization
No
Model Deployment
No
Reports
No
Knowledge Management
Artificial Intelligence (AI)
No
Cataloging / Categorization
No
Collaboration
No
Content Management
No
Decision Tree
No
Discussion Boards
No
Full Text Search
No
Knowledge Base Management
No
Self Service Portal
No