Sci-database vs Consensus (2026 Comparison)
From simple 1-sentence answer search to full-scale custom research database extraction.
Key Differences: Why Sci-database Stands Out
Multi-Variable Relational Databases vs Quick Answers
Consensus tells you "Yes" or "No" to a query with high-level takeaway snippets. Sci-database extracts 10–50 custom parameters per paper into a complete structured relational database.
Bring Your Own PDFs and Schemas
Upload proprietary preprints, internal lab reports, and specialized datasets with custom schema fields tailored to your exact experimental design.
Full Export to Data Science Tools
Export structured data ready for Python pandas, R metafor, RevMan, and machine learning model training.
Side-by-Side Feature Matrix
| Feature | Sci-database | Consensus |
|---|---|---|
| Primary Output | Multi-variable Excel/CSV database | 1-sentence claim consensus |
| Custom PDF Uploads | Unlimited proprietary & public PDFs | Pre-indexed papers only |
| Custom Parameter Extraction | Define any typed fields & units | Fixed summary fields |
| Table Extraction Depth | Full multi-page table reconstruction | Abstracts and key claims |
When to Choose Sci-database over Consensus
Consensus is great for quick literature checks. Sci-database is built for researchers who need to construct comprehensive, auditable, and parameterized scientific databases.
Frequently Asked Questions: Sci-database vs Consensus
When should I use Consensus vs Sci-database?
Use Consensus for preliminary exploratory questions ("Does creatine improve memory?"). Use Sci-database when you need to build the actual quantitative database of dosages, trial designs, effect sizes, and p-values for your publication.