Database Comparison

See how FlinDB stacks up against PostgreSQL, MongoDB, Redis, and Firebase.

Feature Matrix

Side-by-Side Comparison

Feature PostgreSQL MongoDB Redis Firebase FlinDB
In-memory speed
Structured data
Time-travel queries Complex*
Built-in versioning
Zero configuration Partial
Reactive updates Pub/Sub
Self-contained
Semantic search**
Offline-first Partial

*PostgreSQL has temporal tables but requires complex setup
**Available in FLIN AI edition

Performance

Benchmark Results

10,000 Entity Operations

Time to complete 10,000 create/read/update operations.

PostgreSQL
1,200ms
MongoDB
800ms
Redis
45ms
FlinDB
12ms
Deep Dive

Individual Comparisons

FlinDB vs PostgreSQL

PostgreSQL is powerful but requires setup, migrations, and complex temporal table configuration for versioning.

  • No Docker or installation needed
  • No SQL or migrations
  • Time-travel built-in, not bolted on
  • 100x faster for typical operations
  • PostgreSQL better for complex joins
FlinDB vs MongoDB

MongoDB is flexible but requires a server, driver configuration, and has no native versioning or time-travel.

  • Embedded - no separate server
  • Automatic version history
  • Reactive updates built-in
  • Simpler query syntax
  • MongoDB better for document flexibility
FlinDB vs Redis

Redis is fast but lacks structure, relationships, and any form of version history or time-travel.

  • Even faster than Redis for FlinDB ops
  • Structured data with schemas
  • Built-in relationships
  • Version history and time-travel
  • Redis better for pure key-value caching
FlinDB vs Firebase

Firebase offers real-time sync but requires cloud, has no offline-first design, and lacks version history.

  • Works fully offline
  • No cloud dependency
  • Built-in version history
  • No vendor lock-in
  • Firebase better for multi-device sync
Code Examples

Same Task, Different Code

PostgreSQL
postgres.sql
-- Create table
CREATE TABLE todos (
  id SERIAL PRIMARY KEY,
  title VARCHAR(255),
  completed BOOLEAN DEFAULT FALSE,
  created_at TIMESTAMP DEFAULT NOW()
);

-- Insert
INSERT INTO todos (title)
VALUES ('Learn SQL');

-- Query
SELECT * FROM todos
WHERE completed = FALSE
ORDER BY created_at DESC;

-- No time-travel without complex setup
FlinDB
flindb.flin
// Define entity
entity Todo {
    title: text
    completed: bool = false
}

// Create
save Todo { title: "Learn FLIN" }

// Query
Todo.where(completed == false)
    .order(created_at, desc)

// Time-travel included!
todo@yesterday
MongoDB
mongo.js
// Connect
const client = new MongoClient(uri);
await client.connect();
const db = client.db('myapp');
const todos = db.collection('todos');

// Insert
await todos.insertOne({
    title: 'Learn MongoDB',
    completed: false,
    createdAt: new Date()
});

// No versioning, no time-travel
FlinDB
flindb.flin
// No connection needed
// No configuration needed

entity Todo {
    title: text
    completed: bool = false
}

save Todo { title: "Learn FLIN" }

// Versioning automatic
// Time-travel built-in
todo.history()

Ready to try the difference?

$ curl -fsSL https://flin.sh | bash
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