kynetradb
One Rust binary: BM25 search + vector + KV + document + auth + files + realtime + agentic admin.
vs
Appwrite
Open-source Firebase alternative: databases, auth, storage, realtime, functions in one platform.
Feature comparison
| Dimension | kynetradb | Appwrite |
|---|---|---|
| Full-text search | BM25 — reference catalogue | None |
| Vector search | Brute-force cosine evaluation | None |
| Auth | Preview scope | Built-in |
| Row-Level Security | Preview scope | No |
| File storage | Preview scope | Built-in |
| Realtime | Preview scope | WebSocket |
| Edge Functions | Preview scope | Yes |
| TypeScript SDK | Preview scope | Yes |
| KV lookups | Preview scope | No |
| Document filter | Preview scope | Yes |
| LLM runtime | Preview scope | No |
| Outbound DB sync | Preview scope | No |
| Self-host | Preview scope | Yes |
| Single binary | Preview scope | No |
| License | Preview terms — request a scoped evaluation | BSD-3-Clause |
| Deploy targets | 19 target profiles | 2 listed target profiles |
| Free tier | Preview access by request | yes — Starter cloud plan |
When to pick Appwrite
The most polished self-hosted open-Firebase. SDKs for 12 platforms. No search/vector, but document queries are strong.
- Your team is already invested in Appwrite's SDK and ecosystem.
When to pick kynetradb
- You want a comparison-led conversation about BM25 full-text, vector evaluation, and data-plane trade-offs.
- You need a product-specific implementation scope rather than a generic migration claim.
- You want to assess 19 hosting target profiles, including 5 Indian providers.
- You want a scoped preview conversation about the data, deployment, and operating boundary.
- You want a single binary with no runtime dependencies — no container fleet to operate.
Create a record — both APIs side by side
Insert a product record. These are documentation-accurate shapes, not runnable end-to-end examples.
kynetradb
// kynetradb — @kynetra/client TypeScript SDK
import { createClient } from '@kynetra/client'
const kdb = createClient('https://your.host', PUBLISHABLE_KEY)
const { data, error } = await kdb
.from('products')
.insert({ title: 'Aurora Espresso', vendor: 'Aurora', price: 2200 })
.select()Appwrite
// Appwrite — JavaScript SDK
const doc = await databases.createDocument(
'myDatabase',
'products',
ID.unique(),
{ title: 'Aurora Espresso', vendor: 'Aurora', price: 2200 }
);