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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Enhance your scientific research and equip your R&D team with unified data in the cloud. The Tetra R&D Data Cloud merges the only cloud-native data platform specifically designed for global pharmaceutical enterprises with the expansive and rapidly growing network of Life Sciences integrations and extensive industry expertise, providing a robust solution for leveraging your most critical asset: R&D data. This platform encompasses the entire life-cycle of your R&D data, facilitating processes from acquisition to harmonization, engineering, and subsequent analysis while offering native compatibility with cutting-edge data science tools. It supports a vendor-agnostic approach with pre-existing integrations that allow seamless connectivity to instruments, analytics and informatics applications, as well as ELN/LIMS and CRO/CDMOs. By consolidating data acquisition, management, harmonization, integration/engineering, and data science enablement into one comprehensive platform, it simplifies the complexities of R&D operations. This holistic approach not only streamlines workflows but also unlocks new possibilities for innovation and discovery.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Actian Data Platform Yes 
Azure Marketplace Yes 
BIOVIA No 
CDD Vault Yes 
Egnyte No 
IRI Data Protector Suite Yes 
IRI FieldShield Yes 
IRI Voracity Yes 
Tableau No 
Vertica Yes 
alvaDesc Yes 
data.world Yes 

Integrations

Actian Data Platform No 
Azure Marketplace No 
BIOVIA Yes 
CDD Vault No 
Egnyte Yes 
IRI Data Protector Suite No 
IRI FieldShield No 
IRI Voracity No 
Tableau Yes 
Vertica No 
alvaDesc No 
data.world 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 Yes 
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 Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

KNIME

Country

Switzerland

Website

www.knime.com

Vendor Details

Company Name

TetraScience

Founded

2014

Country

United States

Website

www.tetrascience.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 Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

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 

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