Research · head to head
STARLIMS vs TetraScience

STARLIMS
Research
Laboratory information management from Abbott for regulated and public health labs
- From
- On request
- Rated
- -

TetraScience
Research
Scientific data cloud that harmonises instrument output across the lab estate
- From
- On request
- Rated
- -
The short version
- Each has a real cost: STARLIMS implementation is lengthy and outcome quality depends heavily on the partner doing the configuration; 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: STARLIMS covers Sample and specimen management, TetraScience covers Instrument connectors.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which STARLIMS and TetraScience actually diverge.
| Attribute | STARLIMS | TetraScience |
|---|---|---|
| Platforms | Web, Windows, Cloud, On-premise | Web, 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 STARLIMS
- Sample and specimen management
- Quality management
- Instrument integration
- Public health reporting
- Regulatory compliance
- Web and mobile access
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.
STARLIMS
- Public health laboratories handling surveillance and outbreak investigationnot TetraScience
- Clinical laboratories needing regulated specimen tracking and reportingnot TetraScience
- Food safety and environmental testing laboratoriesnot TetraScience
- Multi-site laboratory networks standardising methods and specificationsnot TetraScience
TetraScience
- A pharmaceutical company trying to make twenty years of chromatography data usable for modelling rather than trapped on instrument workstationsnot STARLIMS
- A biotech building machine learning models on assay data that currently requires manual export from every instrumentnot STARLIMS
- A quality control laboratory needing instrument data captured with provenance and audit trail for regulated usenot STARLIMS
- A company consolidating data from acquired sites where each site runs a different instrument vendor and informatics stacknot STARLIMS
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
STARLIMS
- Implementation is lengthy and outcome quality depends heavily on the partner doing the configuration
- Pricing is quote-based with no public reference, making early budget setting difficult
- The breadth across laboratory types means some verticals get less development attention than others
- Interface modernisation has lagged behind newer cloud-native laboratory platforms
- Over-specified for small laboratories, where a lighter LIMS delivers most of the value for a fraction of the effort
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
STARLIMS
On request- STARLIMS$undefined/year
- Sample management
- Quality management
- Instrument integration
TetraScience
On request- Tetra Scientific Data Cloud$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 STARLIMS if
- You need sample and specimen management.
- You work on Web, Windows, Cloud, On-premise.
- You also want quality management.
Choose TetraScience if
- You need instrument connectors.
- You work on Web, Cloud, API.
- You also want tetra data harmonisation.
Questions people ask
- Is STARLIMS or TetraScience better?
- Neither clearly leads. STARLIMS 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, STARLIMS or TetraScience?
- STARLIMS starts at On request and TetraScience at On request.
- Does STARLIMS or TetraScience run on more platforms?
- STARLIMS runs on Web, Windows, Cloud, On-premise. TetraScience runs on Web, Cloud, API.
- What is STARLIMS best used for?
- STARLIMS is most often used for public health laboratories handling surveillance and outbreak investigation, clinical laboratories needing regulated specimen tracking and reporting, food safety and environmental testing laboratories, multi-site laboratory networks standardising methods and specifications. Of those, public health laboratories handling surveillance and outbreak investigation and clinical laboratories needing regulated specimen tracking and reporting are not what TetraScience is typically brought in for.
- What can STARLIMS do that TetraScience cannot?
- STARLIMS covers Sample and specimen management, Quality management, Instrument integration, Public health reporting. TetraScience covers Instrument connectors, Tetra Data harmonisation, Cloud-native data platform, GxP package.
Answered from the vendors’ own pages
STARLIMS: Who owns STARLIMS?
Abbott. That gives it institutional weight in laboratory procurement and a natural relationship with Abbott diagnostic instruments.
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.
STARLIMS: Where is it strongest?
Public health and clinical laboratories. Surveillance reporting, outbreak investigation and unpredictable specimen surges are different problems from pharmaceutical QC, and it handles them well.
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.
STARLIMS: What does it cost?
Not published. Enterprise licensing plus implementation, quoted on laboratory count, users and modules.
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.
STARLIMS: How does it compare to LabWare?
Both are enterprise LIMS with regulatory depth. LabWare is more dominant in pharmaceutical QC; STARLIMS has more presence in public health and clinical. Implementation partner quality matters more than the platform difference.
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.
STARLIMS: What decides a successful implementation?
Configuration and validation quality, not platform features. Evaluations that compare feature lists rather than implementation approach are asking the wrong question.
Related pages
More on TetraScience
Other head to heads
- STARLIMS vs LabWare
- STARLIMS vs Thermo SampleManager LIMS
- STARLIMS vs LabVantage
- STARLIMS vs Benchling
- STARLIMS vs Sapio Sciences
- STARLIMS vs Labguru
- STARLIMS vs Scispot
- STARLIMS vs Medidata Rave
- STARLIMS vs Roam Research
- STARLIMS vs Contentsquare
- STARLIMS vs Castor EDC
- STARLIMS vs DNAnexus
- STARLIMS vs Suzy
- STARLIMS vs Terra
- STARLIMS vs Valispace
- STARLIMS vs Wolfram Mathematica
- STARLIMS vs LabArchives
- STARLIMS vs Paperpile
- STARLIMS vs Remesh
- STARLIMS vs Mouseflow
- STARLIMS vs Chemaxon
- STARLIMS vs Condens
- STARLIMS vs Dotmatics
- STARLIMS vs Florence eBinders
- TetraScience vs LabWare
- TetraScience vs Thermo SampleManager LIMS
- TetraScience vs LabVantage
- TetraScience vs Benchling
- TetraScience vs Sapio Sciences
- TetraScience vs Labguru
- TetraScience vs Scispot
- TetraScience vs Medidata Rave
- TetraScience vs Roam Research
- TetraScience vs Contentsquare
- TetraScience vs Castor EDC
- TetraScience vs DNAnexus
- TetraScience vs Suzy
- TetraScience vs Terra
- TetraScience vs Valispace
- TetraScience vs Wolfram Mathematica
- TetraScience vs LabArchives
- TetraScience vs Paperpile
- TetraScience vs Remesh
- TetraScience vs Mouseflow
- TetraScience vs Chemaxon
- TetraScience vs Condens
- TetraScience vs Dotmatics
- TetraScience vs Florence eBinders
