A good decision starts with the right questions.

Most teams pick the wrong technology not because they lack information, but because they asked the wrong questions.

Tech Duel guides you through the questions that actually matter for your team, your stack, and your situation. Then gives you a recommendation you can defend.
app.tech-duel.com
Your recommendation
78%
Use PostgreSQL
High confidence
PostgreSQL is the stronger choice given your ACID requirements, existing team expertise, and complex query patterns. MongoDB's schema flexibility isn't worth the consistency trade-offs for your use case.
Side-by-side comparison
FactorPostgreSQL ✓MongoDB
ACID complianceFullPartial
Complex queriesExcellentLimited
Schema flexibilityStructuredDynamic

Built for the engineer who owns the decision.

Not for someone doing casual research. For the tech lead or architect who’s been asked to make the call and needs to defend it, to their team, their manager, or both.
Tech Duel doesn’t give you a generic answer. It asks about your existing stack, your team size, your timeline, your constraints. Then it gives you a recommendation that holds up when someone asks why.
The output is a structured report you can share. In Slack. In the architecture review. Something that says: we thought this through.
Any technology comparison, from infrastructure to AI tools
Context-aware questions built around your team, stack, and situation
A shareable report, not just an answer you have to re-explain

How it works

Walk through the questions that surface what your decision actually hinges on. Then get a recommendation with the reasoning behind it.
1
Setup
2
Questions
3
Results
What are you comparing?
Add 2-5 technologies and describe your context for personalized questions.
Technologies (2/5)
React xVue.js x
Search or type a technology, press Enter to add
+ Angular+ Svelte+ Next.js+ Nuxt.js
Tell us about your context
Team size, use case, existing stack - the more detail, the better.
5-person startup team building a real-time dashboard. We know React but considering Vue for its simpler syntax...
Start Duel →
1Search and compare technologies

Define your context

Tell us what you’re comparing and what matters to your team: existing stack, team size, timeline, risk tolerance. The more specific you are, the more accurate the recommendation.
Setup
2
Questions
3
Results
3 / 2015%
Question 4 of 20
Is developer experience and onboarding speed a priority for your team?
Yes
No
+ Add context
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2Get smart technology recommendations

Answer questions

You'll get 12 to 20 questions specific to your two technologies and your situation. Not a generic survey. Questions that surface the variables generic comparisons ignore.
Recommendation
Apache Kafka
75%
confidence score
Comparing: Apache Kafka · RabbitMQ
Short advice
Kafka is the stronger fit for high-throughput event streaming at scale. Its durable log, consumer group replay, and rich ecosystem align with your need for reliable message delivery across distributed services.
Long advice
Additional context
3Tech Duel feature illustration

A decision you can defend

A clear recommendation with the reasoning behind it. Share it in the architecture review. Show your manager. The decision doesn't live in someone's head, it lives in a document everyone can point to.
See it in action
From question to recommendation in minutes.
2,400+
comparisons made
180+
engineering teams
40+
technology categories

What engineering teams are saying.

“We were going back and forth on Kafka vs Kinesis for three weeks. Tech Duel asked the right questions and gave us a recommendation the whole team could stand behind.”
DK
David K.
Principal Engineer, Fintech
“The confidence score was the conversation stopper we needed. It's not just 'use X', it's 'use X, and here's exactly why given your constraints.'”
PM
Priya M.
Engineering Manager, SaaS
“The comparison table alone saved us two days of research. We shared it with the whole team and had alignment by end of day.”
TR
Tom R.
Staff Engineer, E-commerce
“15 years in engineering and this is the first tool that factors in team expertise when making a recommendation. That matters more than almost anything else.”
SL
Sarah L.
VP Engineering, B2B Startup
“Used it for LangChain vs LlamaIndex for our RAG pipeline. Had a recommendation in 20 minutes. Would have taken a week of reading docs otherwise.”
AC
Alex C.
ML Engineer, AI Startup
“I sent the comparison to my CTO and she immediately understood the reasoning. No back and forth, no 'why did you pick this', just alignment.”
MJ
Marcus J.
Tech Lead, Healthcare Tech

Your team has been debating this long enough. Get a recommendation you can actually stand behind.