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Research · head to head

Terra vs TetraScience

Terra logo

Terra

Research

Open biomedical research platform for genomic analysis, priced only by the cloud you consume

From
Free
Rated
-
Full reviewWebsite
TetraScience logo

TetraScience

Research

Scientific data cloud that harmonises instrument output across the lab estate

From
On request
Rated
-
Full reviewWebsite

The short version

  • Only Terra has a free tier, so it costs nothing to try first.
  • Each has a real cost: Terra the absence of a licence fee hides the real cost driver: an idle notebook virtual machine left running overnight, or a workspace bucket full of intermediate workflow outputs, quietly consumes grant money with no vendor invoice to prompt a review.; TetraScience pricing is scoped on connected instruments and data engineering effort rather than a published unit, so the cost of adding a new laboratory or an acquired site is impossible to forecast without going back to the vendor.
  • They diverge on capability: Terra covers No platform licence fee, TetraScience covers Instrument connectors.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Terra and TetraScience actually diverge.

Attributes where Terra and TetraScience differ
AttributeTerraTetraScience
Starting priceFreeOn request
Pricing modelOpen source, no licence feequote
Free tierYesNo
PlatformsWeb, Google Cloud, Microsoft AzureWeb, Cloud, API

Identical on both: user rating (Not yet rated), category (Research).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Terra

  • No platform licence fee
  • Cloud pass-through billing
  • WDL workflow execution
  • Notebook environments
  • Controlled-access data
  • Workspace sharing
  • Compliance posture
  • Multi-cloud

Only in TetraScience

  • Instrument connectors
  • Tetra Data harmonisation
  • Cloud-native data platform
  • GxP package
  • Scientific applications
  • Data provenance
  • Open access
  • AWS Marketplace availability

What people use each for

The jobs each tool is most often brought in to do.

Terra

  • A genomics lab running whole-genome alignment and variant calling pipelines without provisioning or maintaining a local clusternot TetraScience
  • A consortium sharing controlled-access human data across institutions where the data cannot be copied to each sitenot TetraScience
  • A health system analysing patient genomic data under a HIPAA business associate agreementnot TetraScience
  • A federal or federally funded project needing FedRAMP Moderate authorisation for its analysis environmentnot TetraScience

TetraScience

  • A pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstationsnot Terra
  • A biotech building machine learning models on assay data that currently requires manual export from every instrumentnot Terra
  • A quality control laboratory needing instrument data captured with provenance and audit trail for regulated usenot Terra
  • A company consolidating data from acquired sites where each site runs a different instrument vendor and informatics stacknot Terra

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Terra

  • The absence of a licence fee hides the real cost driver: an idle notebook virtual machine left running overnight, or a workspace bucket full of intermediate workflow outputs, quietly consumes grant money with no vendor invoice to prompt a review.
  • Cost governance is entirely the customer responsibility, and grant-funded groups without a cloud engineer routinely overspend before anyone reads the Google or Azure bill in enough detail to find the cause.
  • It assumes genuine bioinformatics competence: writing or adapting WDL workflows, managing data tables and debugging failed tasks are all on you, so a wet lab without computational staff cannot use it productively.
  • Feature parity between the Google Cloud and Azure deployments is not identical, so a decision on cloud provider constrains which capabilities and datasets you can reach and is expensive to reverse later.
  • It is a research platform rather than a regulated clinical system: it is not a validated GxP environment and does not carry the qualification package a diagnostic or submission workflow would require, so clinical use needs additional infrastructure and validation you provide yourself.

TetraScience

  • Pricing is scoped on connected instruments and data engineering effort rather than a published unit, so the cost of adding a new laboratory or an acquired site is impossible to forecast without going back to the vendor.
  • Value depends entirely on connector coverage for your actual instrument estate; an instrument type without an existing productised connector becomes a services engagement with its own timeline and cost.
  • The GxP package is a separate annual subscription rather than an included capability, so a company that starts in research and later needs regulated use faces an additional commercial line and a validation exercise.
  • It is infrastructure with no end-user application of its own, so the business case rests on downstream analytics and AI work that has to be resourced and delivered separately before anyone sees a benefit.
  • Deployment is a multi-year programme touching instruments, networks, validated systems and site IT, and organisations consistently underestimate the internal effort required from people who also have day jobs running the laboratory.

Pricing, plan by plan

Terra

Free
  • Terra platformFree
    • No charge for the platform, administration, security controls or frontline support
    • Workspaces, workflow execution and notebook environments included
    • Available on Google Cloud and Microsoft Azure
  • Cloud consumption$undefined/month
    • Google Cloud or Azure charges passed through at cost with no markup
    • Running notebook virtual machines around 0.22 USD per hour, roughly 0.027 USD per hour when paused
    • Storage billed continuously on workspace buckets and intermediate workflow outputs

TetraScience

On request
  • Tetra Scientific Data Cloud$undefined/year
    • Priced on number of instruments connected and scope of data engineering
    • Contract entitles a specified quantity of use for its duration
    • Multi-year enterprise agreements are the norm
  • Tetra GxP package$undefined/year
    • Separate annual subscription executed within the licence agreement
    • Audit trail, data provenance, control matrices and software hazard analysis
    • Disaster recovery provisions

Which should you pick?

Choose Terra if

  • You need no platform licence fee.
  • You want to start without paying.
  • You work on Web, Google Cloud, Microsoft Azure.
  • You also want cloud pass-through billing.
Terra review

Choose TetraScience if

  • You need instrument connectors.
  • You work on Web, Cloud, API.
  • You also want tetra data harmonisation.
TetraScience review

Questions people ask

Is Terra or TetraScience better?
Neither clearly leads. Terra starts at Free and TetraScience at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Terra or TetraScience?
Terra has a free tier; the other does not. Paid plans start at Free for Terra and On request for TetraScience.
Does Terra or TetraScience run on more platforms?
Terra runs on Web, Google Cloud, Microsoft Azure. TetraScience runs on Web, Cloud, API.
Can I use Terra for free?
Yes. Terra has a free tier, so you can try it without paying. TetraScience starts at On request.
What is Terra best used for?
Terra is most often used for a genomics lab running whole-genome alignment and variant calling pipelines without provisioning or maintaining a local cluster, a consortium sharing controlled-access human data across institutions where the data cannot be copied to each site, a health system analysing patient genomic data under a hipaa business associate agreement, a federal or federally funded project needing fedramp moderate authorisation for its analysis environment. Of those, a genomics lab running whole-genome alignment and variant calling pipelines without provisioning or maintaining a local cluster and a consortium sharing controlled-access human data across institutions where the data cannot be copied to each site are not what TetraScience is typically brought in for.
What can Terra do that TetraScience cannot?
Terra covers No platform licence fee, Cloud pass-through billing, WDL workflow execution, Notebook environments. TetraScience covers Instrument connectors, Tetra Data harmonisation, Cloud-native data platform, GxP package.

Answered from the vendors’ own pages

Terra: Is Terra really free?

The platform is. There is no licence fee. Everything you pay is Google Cloud or Azure compute, storage and egress, passed through at cost.

TetraScience: What is the pricing unit?

Connected instruments and the scope of data engineering, over a fixed contract term. There is no published per-seat or per-gigabyte rate.

Terra: What actually drives the bill?

Running virtual machines and stored data. Pausing notebooks drops a virtual machine from about 0.22 to about 0.027 dollars an hour, and deleting intermediate workflow outputs is the other main saving.

TetraScience: Does it replace my ELN or LIMS?

No. It sits underneath them, harmonising instrument data and making it available to whatever applications you already run.

Terra: Can I use it with protected health information?

Yes. Terra signs HIPAA business associate agreements and GDPR data processing agreements, and the Azure deployment holds FedRAMP Moderate authorisation.

TetraScience: Is it usable in a GxP environment?

Yes, with the separately subscribed Tetra GxP package. It reduces validation effort substantially but does not eliminate your validation obligation.

Terra: Is it validated for clinical or GxP use?

No. It is a research platform. Regulated clinical or submission workflows need validation and controls you build yourself.

TetraScience: Can I get the harmonised data out?

Yes. Tetra Data is designed to be accessible to your own analytics tools rather than confined to the platform.

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