Research · head to head
Aurelius vs STARLIMS

Aurelius
Research
UX research repository for tagging notes, building insights and finding them again years later
- From
- $49/month
- Rated
- -

STARLIMS
Research
Laboratory information management from Abbott for regulated and public health labs
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Aurelius aurelius does not recruit participants or run unmoderated studies, so it is always a second tool alongside a testing or recruitment platform and never the whole research budget.; STARLIMS implementation is lengthy and outcome quality depends heavily on the partner doing the configuration
- They diverge on capability: Aurelius covers Research repository, STARLIMS covers Sample and specimen management.
- Prices and features above were last checked on 31 August 2026.
Where they differ
Only the attributes on which Aurelius and STARLIMS actually diverge.
Identical on both: 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 Aurelius
- Research repository
- Analysis board
- Tagging
- Insights and recommendations
- Transcription
- AI assist
- Automatic report builder
- Universal search
Only in STARLIMS
- Sample and specimen management
- Quality management
- Instrument integration
- Public health reporting
- Regulatory compliance
- Web and mobile access
What people use each for
The jobs each tool is most often brought in to do.
Aurelius
- A research team of three whose findings currently live in individual Miro boards and Google Docs that nobody outside the team can find six months laternot STARLIMS
- A product organisation that wants every designer and product manager to search past research without paying forty repository seatsnot STARLIMS
- A consultancy running discovery for multiple clients that needs tagged evidence kept separate per client but searchable internallynot STARLIMS
- A team preparing a repeat study who need to know what was already learned about the same problem two years ago before they recruit anyonenot STARLIMS
STARLIMS
- Public health laboratories handling surveillance and outbreak investigationnot Aurelius
- Clinical laboratories needing regulated specimen tracking and reportingnot Aurelius
- Food safety and environmental testing laboratoriesnot Aurelius
- Multi-site laboratory networks standardising methods and specificationsnot Aurelius
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Aurelius
- Aurelius does not recruit participants or run unmoderated studies, so it is always a second tool alongside a testing or recruitment platform and never the whole research budget.
- Integrations are thin, with Zapier, Jira and Slack rather than direct connections to the call recording and testing tools most teams already run, so getting material in often means manual upload.
- The tag vocabulary is only as good as the discipline applied to it, and repositories where several researchers invent overlapping tags become unsearchable within a year with no built-in governance to prevent it.
- Unlimited users is genuinely unlimited but permissions are basic below Enterprise, so a team that needs client-safe or stakeholder-only views has to buy the quoted tier for something that reads as a table-stakes control.
- It is a small independent vendor competing with much better funded repositories, which is a real procurement risk for an organisation storing years of research in it, and enterprise assurance material such as penetration test reports sits behind the top tier.
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
Pricing, plan by plan
Aurelius
$49/month- Professional$49/month
- Unlimited users
- Unlimited projects and storage
- Notes, tags and documents
- Premium$199/month
- Everything in Professional
- Recommendations
- Universal search across projects
- Enterprise$undefined/year
- Everything in Premium
- SSO with SAML 2.0
- IP allowlisting
STARLIMS
On request- STARLIMS$undefined/year
- Sample management
- Quality management
- Instrument integration
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.
Questions people ask
- Is Aurelius or STARLIMS better?
- Neither clearly leads. Aurelius starts at $49/month and STARLIMS at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Aurelius or STARLIMS?
- Aurelius starts at $49/month and STARLIMS at On request.
- Does Aurelius or STARLIMS run on more platforms?
- Aurelius runs on Web. STARLIMS runs on Web, Windows, Cloud, On-premise.
- What is Aurelius best used for?
- Aurelius is most often used for a research team of three whose findings currently live in individual miro boards and google docs that nobody outside the team can find six months later, a product organisation that wants every designer and product manager to search past research without paying forty repository seats, a consultancy running discovery for multiple clients that needs tagged evidence kept separate per client but searchable internally, a team preparing a repeat study who need to know what was already learned about the same problem two years ago before they recruit anyone. Of those, a research team of three whose findings currently live in individual miro boards and google docs that nobody outside the team can find six months later and a product organisation that wants every designer and product manager to search past research without paying forty repository seats are not what STARLIMS is typically brought in for.
- What can Aurelius do that STARLIMS cannot?
- Aurelius covers Research repository, Analysis board, Tagging, Insights and recommendations. STARLIMS covers Sample and specimen management, Quality management, Instrument integration, Public health reporting.
Answered from the vendors’ own pages
Aurelius: Does the price really include unlimited users?
Yes. Professional at 49 US dollars a month and Premium at 199, both billed yearly, both with unlimited users, projects and storage.
STARLIMS: Who owns STARLIMS?
Abbott. That gives it institutional weight in laboratory procurement and a natural relationship with Abbott diagnostic instruments.
Aurelius: Can I run usability tests in it?
No. Aurelius stores and analyses research; it does not recruit participants or host sessions. Pair it with a testing tool.
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.
Aurelius: What is the difference between Professional and Premium?
Premium adds universal cross-project search, collections, recommendations and Zapier. If your value comes from finding old research, Premium is the tier that delivers it.
STARLIMS: What does it cost?
Not published. Enterprise licensing plus implementation, quoted on laboratory count, users and modules.
Aurelius: Is there single sign-on?
Only on Enterprise, along with IP allowlisting, Jira and advanced permissions. Everything below is quoted separately.
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.
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.
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