3 Integrations with TetraScience
View a list of TetraScience integrations and software that integrates with TetraScience below. Compare the best TetraScience integrations as well as features, ratings, user reviews, and pricing of software that integrates with TetraScience. Here are the current TetraScience integrations in 2024:
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1
Tableau
Tableau
Gain, generate, and analyze business data and meaningful insights with Tableau, an integrated business intelligence (BI) and analytics solution. With Tableau, users are able to collect data from different sources such as spreadsheets, SQL databases, Salesforce, and cloud apps. Tableau provides users with real-time visual analytics and interactive dashboard that enables them to slice and dice datasets for making relevant insights and look for new opportunities. Tableau also allows users to customize the platform to serve different kinds of industry verticals like banking, communication, and more. -
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Egnyte
Egnyte
Egnyte provides a unified content security and governance solution for collaboration, data security, compliance, and threat detection for multicloud businesses. More than 16,000 organizations trust Egnyte to reduce risks and IT complexity, prevent ransomware and IP theft, and boost employee productivity on any app, any cloud, anywhere.Starting Price: $10 per user per month -
3
BIOVIA
Dassault Systèmes
BIOVIA solutions create an unmatched scientific management environment that can help science-based organizations create and connect biological, chemical and material innovations to improve the way we live. The industry-leading BIOVIA portfolio is focused on integrating the diversity of science, experimental processes and information requirements end-to-end across research, development, QA/QC and manufacturing. Capabilities over the areas of Scientific Informatics, Molecular Modeling/Simulation, Data Science, Laboratory Informatics, Formulation Design, BioPharma Quality & Compliance and Manufacturing Analytics. BIOVIA is committed to enhancing and speeding innovation, increasing productivity, improving quality and compliance, reducing costs and accelerating product development for customers in multiple industries. Manage and connect scientific innovation processes and information across the product lifecycle.
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