They've been lying to you for 54 years. It's called "database" but it only stores tables. FlinDB remembers everything. Natural language queries. Zero migrations. Time travel built-in.
db.ask("clients who ordered more than $10,000 but haven't ordered this month")
80% of your data is unstructured. PDFs, images, documents. Your "database" can't touch it.
A language from 1974. Before smartphones. Before the internet. Before you were born.
Gone forever. No audit trail. No time travel. Hope you meant to do that.
Hours of downtime. Complex scripts. One wrong move and your production data is toast.
What they call "databases" are just table managers. File cabinets. Digital spreadsheets.
A real database should understand ALL your data. FlinDB does.
Every change is an event. Every event is stored forever. Want to know what a user's profile looked like 3 months ago? Just ask.
// Go back in time
user = await db.at("2024-06-15").get(User, id)
// See what changed
history = await db.history(User, id)Stop memorizing SQL syntax. Stop Googling "how to join three tables." Just describe what you want in plain English.
// Instead of 20 lines of SQL:
"users who bought something last month
but haven't logged in since"
"products similar to this one under $50"Add fields whenever you want. Remove them when you don't need them. No migrations. No downtime. No ALTER TABLE.
// Just add new fields
user.middleName = "Claude"
user.favoriteColor = "Revolutionary Green"
await db.save(user)
// Done. No migration needed.80% of enterprise data is unstructured. PDFs, images, audio, documents. Traditional databases can't touch it. FlinDB understands it all.
// Ingest any file
await db.ingest("contracts/acme_2025.pdf")
// Query it naturally
results = await db.ask("contracts with
indemnity clause over $1M")From zero to production-ready in 60 seconds.
| Operation | PostgreSQL 17 | MongoDB 7 | ScyllaDB 5 | FlinDB |
|---|---|---|---|---|
| Point Read (cached) | ~500us | ~300us | ~150us | <100us |
| Write (single) | ~2ms | ~1ms | ~500us | <200us |
| Write Throughput | 50K ops/s | 100K ops/s | 500K ops/s | 1M+ ops/s |
| Time-Travel Query | N/A | N/A | N/A | <100us overhead |
| Vector Search (1M) | Extension* | Atlas only | N/A | <10ms (native) |
| Schema Migration | Minutes | Seconds | Minutes | 0ms (auto) |
* PostgreSQL requires pgvector extension with separate index management.
Benchmarks on AMD EPYC 7763 (64 cores), 256GB RAM, NVMe SSD. All databases configured for durability.
FlinDB integrates seamlessly with the ZeroSuite family of developer tools.
The memory-native programming language. FlinDB is the database engine that powers FLIN.
AI-powered database API. Built on FlinDB for natural language queries and auto-generated endpoints.
Enterprise RAG platform. Uses FlinDB's document ingestion and semantic search capabilities.
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