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TetraScience Reviews

Vendor: TetraScience
3.3 out of 5
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What is TetraScience?

TetraScience liberates, unifies, and transforms your raw data into more-than-FAIR, AI-native data.
We bring this AI-native data to life in a rapidly growing suite of next-generation lab data management solutions, scientific use cases, and AI-based scientific outcomes.
Only the Tetra Scientific Data and AI Cloud can liberate your data, engineer it for your most demanding scientific use cases and AI initiatives, and future-proof it so you’re never locked into vendor walled gardens again.

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Buyer's Guide
AWS Marketplace
August 2025
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Helped 866,956 peers since 2012

TetraScience mindshare

As of September 2025, the mindshare of TetraScience in the AWS Marketplace category stands at 0.1%, up from 0.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.
AWS Marketplace Market Share Distribution
ProductMarket Share (%)
TetraScience0.1%
n8n3.0%
Ethereum Validator Node3.0%
Other93.9%
AWS Marketplace
 
 
Key learnings from peers

Valuable Features

  • "The ingestion engines were pretty good."
  • "The crawler agents they provide, as well as TetraScience exclusive parsers, allow for specific instruments that we use in our labs with proprietary formats to extract data and put it into more standard formats for various purposes."

Room for Improvement

  • "While functional during ingestion workflows, the automation toolkit required manual processes."
  • "The application has a difficult-to-use parsing capability, which requires a lot of reengineering when the use case isn't specifically met."
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our AWS Marketplace Buyer's Guide for additional reliable information.

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TetraScience Reviews Summary
Author infoRatingReview Summary
Senior Specialist Engineering Dev. & Integration at a manufacturing company with 10,001+ employees3.0I use TetraScience to integrate and automate data from instruments like LCMSs and HPLC into applications like ELN and LIMS. It efficiently moves data to AWS but requires better parsing capabilities and more seamless configurability for optimal use.
Senior Director at a pharma/biotech company with 501-1,000 employees3.5We used TetraScience for data lake and data transformation purposes. The ingestion engines were efficient, but manual processes hindered automation. Some instrument connectors were challenging, and attaching metadata wasn't intuitive. We didn't consider alternative solutions before using TetraScience.