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Research · head to head

Genedata vs TetraScience

Genedata logo

Genedata

Research

Enterprise R&D data platforms for biologics, screening and bioprocess, owned by Danaher

From
On request
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

  • Each has a real cost: Genedata there is no entry level and no published price at any tier, so a mid-sized biotech cannot even establish whether Genedata is in its range without a lengthy sales engagement.; 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: Genedata covers Screener, TetraScience covers Instrument connectors.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Genedata and TetraScience actually diverge.

Attributes where Genedata and TetraScience differ
AttributeGenedataTetraScience
PlatformsWeb, On-premise, Private cloudWeb, Cloud, API

Identical on both: starting price (On request), pricing model (quote), free tier (No), 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 Genedata

  • Screener
  • Biologics
  • Bioprocess
  • Expressionist
  • Selector
  • Profiler
  • Instrument integration
  • GxP-capable deployments

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.

Genedata

  • A pharmaceutical screening group processing thousands of plates a week where manual QC and curve fitting no longer scalenot TetraScience
  • A biologics discovery team linking antibody sequence, expression and assay data across a campaign instead of in spreadsheetsnot TetraScience
  • A process development group standardising bioprocess run data across sites for modelling and scale-upnot TetraScience
  • A CRO delivering high-throughput screening results to sponsors that require documented, reproducible analysis pipelinesnot TetraScience

TetraScience

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

Where each one falls short

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

Genedata

  • There is no entry level and no published price at any tier, so a mid-sized biotech cannot even establish whether Genedata is in its range without a lengthy sales engagement.
  • Platforms are licensed individually and most organisations need two or three, so the real contract is a sum of separate licences plus the integration work between them.
  • Deployment is a services programme rather than an installation, running months and requiring scientific configuration by the vendor, which means value arrives long after the first invoice.
  • Danaher ownership since 2023 gives the roadmap a natural pull toward Danaher instrument and bioprocessing lines, which is an advantage on that hardware and a question to ask if your instrument estate is from competitors.
  • Validated deployments for regulated use add scope, cost and an ongoing revalidation obligation on your side after each vendor release, and that recurring internal effort is rarely counted in the business case.

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

Genedata

On request
  • Genedata platform licence$undefined/year
    • Each platform, such as Screener or Biologics, licensed separately
    • Annual enterprise subscription scoped on users, sites and data volume
    • Implementation and scientific configuration services quoted as a separate programme

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 Genedata if

  • You need screener.
  • You work on Web, On-premise, Private cloud.
  • You also want biologics.
Genedata 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 Genedata or TetraScience better?
Neither clearly leads. Genedata starts at On request and TetraScience at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Genedata or TetraScience?
Genedata starts at On request and TetraScience at On request.
Does Genedata or TetraScience run on more platforms?
Genedata runs on Web, On-premise, Private cloud. TetraScience runs on Web, Cloud, API.
What is Genedata best used for?
Genedata is most often used for a pharmaceutical screening group processing thousands of plates a week where manual qc and curve fitting no longer scale, a biologics discovery team linking antibody sequence, expression and assay data across a campaign instead of in spreadsheets, a process development group standardising bioprocess run data across sites for modelling and scale-up, a cro delivering high-throughput screening results to sponsors that require documented, reproducible analysis pipelines. Of those, a pharmaceutical screening group processing thousands of plates a week where manual qc and curve fitting no longer scale and a biologics discovery team linking antibody sequence, expression and assay data across a campaign instead of in spreadsheets are not what TetraScience is typically brought in for.
What can Genedata do that TetraScience cannot?
Genedata covers Screener, Biologics, Bioprocess, Expressionist. TetraScience covers Instrument connectors, Tetra Data harmonisation, Cloud-native data platform, GxP package.

Answered from the vendors’ own pages

Genedata: Who owns Genedata?

Danaher acquired the company in 2023. It remains headquartered in Basel and continues under the Genedata name.

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.

Genedata: Is there a small-team or starter option?

No. Everything is an enterprise contract scoped by users, sites and data volume, with services attached.

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.

Genedata: Do I buy one product or the whole suite?

Each platform is licensed separately. Most customers license two or three and integrate between them.

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.

Genedata: Can it be used in a GxP environment?

Yes, with a validated deployment contracted as additional scope. Ongoing revalidation after releases remains your responsibility.

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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