Low-Code vs. Custom Development: What Fits Your Lab?
Lab automation requires the right technology decision. When low-code is sufficient, when custom development is necessary - and what both really cost.
Oliver Kraft
CovaSyn

The Fundamental Question: Build or Configure?
When life science SMEs want to digitize their lab processes, they face a central decision early on: low-code platform or custom software development? Both approaches have their merits - but the wrong choice costs time, money, and nerves.
The short answer: it depends. The long answer follows here - with concrete decision criteria, cost comparisons, and practical examples from the DACH region.
What Low-Code Really Means
Low-code platforms like Tulip, Benchling, or industry-specific tools allow creating applications through visual editors - with minimal programming effort. Drag-and-drop instead of code. For standardized workflows, this can be extremely efficient.
Typical use cases in the lab: electronic lab notebooks (ELN) for standard analyses. Sample management and tracking. Simple device integration via REST APIs. Dashboards for lab metrics.
Strengths: Fast implementation (weeks instead of months). Low entry costs. Business departments can customize themselves. Regular updates from the provider.
Weaknesses: Limited customizability for complex workflows. Dependence on the platform provider. Performance limitations with large data volumes. Validation effort can be higher than expected.
When Custom Development Is the Better Choice
Custom development pays off when your requirements go beyond the standard repertoire. Specifically: complex device integration (e.g., HPLC, MS, NMR with proprietary protocols). High-volume real-time data processing. Specific calculation logic for your analytical methods. Deep integration into existing IT landscape (ERP, LIMS, QMS). Regulatory requirements that demand full control over the code.
The Cost Comparison - Honestly Calculated
Low-code (Year 1): Platform license EUR 15,000-60,000. Implementation and configuration EUR 20,000-50,000. Training EUR 5,000-10,000. Validation EUR 10,000-25,000. Total: EUR 50,000-145,000. Ongoing costs: EUR 15,000-60,000/year license plus maintenance.
Custom development (Year 1): Requirements analysis EUR 10,000-20,000. Development EUR 40,000-120,000. Testing and validation EUR 15,000-30,000. Training EUR 5,000-10,000. Total: EUR 70,000-180,000. Ongoing costs: EUR 5,000-15,000/year hosting and maintenance.
The break-even point typically lies at 2-3 years: from then on, custom development becomes cheaper because ongoing license costs disappear.
The Hybrid Strategy
Our recommendation for most SMEs: start with low-code for standardized processes. Identify early where low-code reaches its limits. Plan custom development specifically for differentiating processes. Ensure clean APIs and data export options from the start - regardless of which approach you choose.
GxP Validation: Both Paths Lead to Rome
A common misconception: "Low-code is easier to validate." That's not universally true. Both approaches require full validation per GAMP 5. The difference: with low-code, you validate a configuration on a validated platform. With custom development, you validate the entire software lifecycle yourself. Both are feasible, both have their effort.
Conclusion
There's no universally right answer. But there is a right method: analyze your concrete requirements, calculate the total cost of ownership over 5 years, and decide data-driven. Don't be blinded by platform vendors' marketing promises - and don't be paralyzed by fear of custom development.
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