Convex is a backend-as-a-service platform for web developers, offering a reactive TypeScript database that simplifies building full-stack, real-time applications. It provides serverless functions, file storage, and vector search with end-to-end type safety, making it a powerful, developer-friendly alternative to Firebase.
Rivet is an open-source library for developers building scalable, real-time applications with durable state. It provides long-lived, stateful compute "actors" that simplify complex tasks like creating AI agents, collaborative apps, and multiplayer games. With features like built-in real-time communication, fault tolerance, and edge deployment, Rivet offers a powerful, self-hostable alternative to services like Cloudflare Durable Objects.
Convex is a backend-as-a-service platform for web developers, offering a reactive TypeScript database that simplifies building full-stack, real-time applications. It provides serverless functions, file storage, and vector search with end-to-end type safety, making it a powerful, developer-friendly alternative to Firebase.
Rivet is an open-source library for developers building scalable, real-time applications with durable state. It provides long-lived, stateful compute "actors" that simplify complex tasks like creating AI agents, collaborative apps, and multiplayer games. With features like built-in real-time communication, fault tolerance, and edge deployment, Rivet offers a powerful, self-hostable alternative to services like Cloudflare Durable Objects.
| Feature | Convex | Rivet |
|---|---|---|
| Primary category | Backend | Backend |
| Added | 2025-08-10 | 2025-08-04 |
| Pricing | Freemium | Freemium |
| Official website | www.convex.dev | www.rivet.gg |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 692.4K | 4K |
| Monthly growth | -14.9% | Not verified |
| Favorites | 146 | 105 |
| Details | View details | View details |
Compare Convex and Rivet by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
In the Convex vs Rivet monthly traffic comparison, Convex currently shows 692.4K visits and Rivet shows 4K; Convex has about 171.5 times the visible traffic of Rivet, an absolute difference of about 688.4K visits. This reflects visible reach, not feature quality or paid users.
Only Convex has complete third-party traffic details; Rivet uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 52.56% | 363.9K |
| 🇮🇳India | 20% | 138.5K |
| 🇫🇷France | 10.22% | 70.8K |
| 🇳🇬Nigeria | 9.74% | 67.4K |
| 🇰🇷Korea, Republic of | 7.48% | 51.8K |
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 92.38% | 639.7K |
| Referral | 6.61% | 45.8K |
| 1.01% | 7K |
This in-depth Convex vs Rivet comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Convex is primarily listed under “Backend”, while Rivet is primarily listed under “Backend”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Convex: 692.4K; Rivet: 4K); Favorites (Convex: 146; Rivet: 105); Website (Convex: www.convex.dev; Rivet: www.rivet.gg); Added (Convex: 2025-08-10; Rivet: 2025-08-04). These facts are more useful for selection than brand visibility alone.
In the Convex vs Rivet monthly traffic comparison, Convex currently shows 692.4K visits and Rivet shows 4K; Convex has about 171.5 times the visible traffic of Rivet, an absolute difference of about 688.4K visits. This reflects visible reach, not feature quality or paid users.
Only Convex has complete third-party traffic details; Rivet uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Convex and Rivet currently overlap in shared categories: Backend; shared tags: backend, developer tools, serverless, and typescript. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Convex's unique categories/tags are Database, Developer Tools, BaaS, database, firebase alternative, full-stack, react, and real-time; Rivet's are Libraries & Frameworks, Serverless, Collaboration, AI agent, durable objects, node.js, open source, and realtime. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
Convex has no verified rating, 0 comments, 146 favorites, and 137 likes；Rivet has no verified rating, 0 comments, 105 favorites, and 117 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Put Convex on the priority trial list when the task aligns with “Backend” and especially Database, Developer Tools, BaaS, database, firebase alternative, and full-stack. This follows recorded positioning and does not imply unlisted capabilities are absent.
Convex also currently records: pricing is freemium, product type is website, 692.4K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
Put Rivet on the priority trial list when the task aligns with “Backend” and especially Libraries & Frameworks, Serverless, Collaboration, AI agent, durable objects, and node.js. This follows recorded positioning and does not imply unlisted capabilities are absent.
Rivet also currently records: pricing is freemium, product type is website, 4K on-site monthly views, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Convex and Rivet, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
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