Convex Alternatives for Rapid Prototyping: The Good, the Bad, and the Ugly
After 6 months of working with Convex for rapid prototyping: it’s good for prototypes, painful for anything real.
Context
I started using Convex primarily for a side project aimed at building a small-scale internal tool for my company. We did this over the last year, involving a small team of three developers working closely together. For us, this wasn’t just theoretical; we were racing against tight deadlines to deliver something functional. While Convex promises an easy avenue for handling data and real-time functionality, our experience proved that it’s not quite ready for heavy lifting.
What Works
Alright, let’s get into the good stuff. Some features of Convex do work pretty well. First up, real-time updates. If you’re building a prototype where instant feedback is essential, Convex’s support for subscriptions can be a major win. Here’s a simple example of how you can set up a real-time listener:
from convex import Convex
client = Convex("your-api-keys")
def on_data_update(data):
print("Data updated:", data)
client.subscribe("data_path", on_data_update)Then there’s the straightforward integration with GraphQL. If you’re used to REST, switching to GraphQL with Convex is almost pleasant. You end up writing less boilerplate code and can request exactly the data you need. For some of our prototype needs, this saved us a ton of time, allowing for pretty prompt iterations.
Lastly, the user authentication features were quite simple to set up. I integrated Firebase authentication within a couple of hours, which usually takes a lot longer in other environments.
What Doesn’t
Now, let’s get real. Convex is garbage for anything beyond basic prototypes. Performance issues crept up as we started hitting heavier loads with our user base. Unexpected errors were rampant. For example, we encountered this cryptic error message: “Too many open connections.” Nice, huh? This kind of vague error leaves developers hunting in the dark. We spent hours diving into logs, trying to figure out what was going wrong.
Documentation is also a sore spot. Good luck finding relevant examples. It feels like a treasure hunt, and I’m generally bad at those—just ask my family about the time I got lost on a road trip because I ignored the GPS. We ended up with multiple half-baked implementations because I didn’t have clear guidance on how to do something simple, like batch updates.
Also, collaboration isn’t Convex’s forte. With three developers concurrently working on features, we faced code conflicts more often than we should have. And if I had a dollar for every time our deployments broke because someone forgot to pull the latest changes… well, I’d have a nice little side fund right now!
Comparison Table
| Feature | Convex | Alternative 1: Firebase | Alternative 2: Supabase |
|---|---|---|---|
| Real-time updates | Yes | Yes | Yes |
| GraphQL support | Yes | No | Yes |
| Error messages clarity | Poor | Good | Good |
| Deployment conflicts | Frequent | Rare | Rare |
| Admin interface | No | Yes | Yes |
The Numbers
Performance-wise, Convex claimed it could handle thousands of connections. Our experience proved otherwise. With only about 250 users, we saw latency shoot up over 200ms during peak times. In stark contrast, Firebase maintained response times under 100ms for over 1,000 users during our tests. Convex offers a free tier and then moves into a pricing model that starts around $50/month, depending on your usage level. Firebase has a similar pricing structure with a free tier but becomes more economical at scale.
Here’s a quick look at some crucial performance benchmarks:
| Platform | Latency (ms) | Concurrent Connections | Monthly Cost (Basic Tier) |
|---|---|---|---|
| Convex | 200+ | 1,000+ | Starting at $50 |
| Firebase | 100 | Over 1,000 | Free up to certain limits |
| Supabase | 90 | 1,000+ | Free up to certain limits |
Who Should Use This
If you’re a solo dev building a small chatbot or testing a quick hypothesis, Convex might work. It’s handy for fast prototypes that don’t require long-term reliability. I’d recommend Convex for those one-off proof-of-concept applications where your goal is to deliver something quickly. Just don’t expect it to withstand any real-world pressure.
Who Should Not
On the flip side, if you’re running a team of 10 or more, particularly building any sort of production application, steer clear. Convex cannot handle the needs of stable, big projects well. Data integrity and performance issues down the line will turn this into a nightmare. Save yourself the headache and invest time in solutions explicitly designed to scale and provide a greater acquisition of error information.
FAQ
1. Is Convex totally free?
No, it has a free tier but raises costs when moving into production.
2. Can I fork Convex for my projects?
No, Convex is not open-source.
3. What’s the primary use case for Convex?
It’s mainly for rapid prototyping and basic project scopes—definitely not for long-term use.
4. How does Convex compare with Firebase in terms of database capabilities?
Firebase is generally more flexible and offers more features out of the box, especially for larger user bases.
5. Are error messages in Convex useful?
Data Sources
Last updated April 30, 2026. Data sourced from official docs and community benchmarks.
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