Production-ready features

Everything you need for production SQLite hosting

From simple apps to enterprise platforms - comprehensive features that scale with your SQLite applications.

Multi-writer SQLite support
AI-ready vector storage
Multi-region deployment
Production reliability (99.9% SLA)
<0ms
Query latency
0%
Uptime SLA
0+
Edge locations

Multi-Writer SQLite Support

Concurrent reads and writes without conflicts. Multiple applications can safely write to the same SQLite database simultaneously.

Unlimited
Concurrent Writers
Automatic
Conflict Resolution
Minimal
Performance Impact
Example Usage
// Multiple processes writing simultaneously
db1.execute("INSERT INTO users (name) VALUES ('Alice')");
db2.execute("INSERT INTO orders (user_id) VALUES (1)");
// Both succeed with automatic conflict resolution

All features included in every plan

Built for Modern Applications

Every feature you need to build production-ready applications with SQLite

Multi-Writer SQLite

Concurrent access without conflicts

Vector Storage

AI-ready semantic search

Automatic Backups

Point-in-time recovery

99.9% Uptime SLA

Production reliability

API Access

REST or SDK

Framework SDKs

Python, Node.js, etc

Query Viewer

Built-in database explorer

Modern SQLite, Enhanced for Production

The SQLite you know and love, with production-ready enhancements for modern applications

Multi-Writer SQLite Support

Concurrent reads and writes without the complexity of traditional multi-writer database systems. Multiple applications can safely write to the same SQLite database simultaneously.

Technical Details

Concurrent Operations

Safe simultaneous reads and writes

ACID Compliance

Full transaction guarantees

Smart Conflict Resolution

Automatic handling of conflicts

No Bottlenecks

Eliminates single-writer limits

Perfect For

Multi-user applications
Real-time collaboration tools
High-traffic web applications
Microservices architectures

Multi-Writer Example

PYTHON
# Multiple processes can write simultaneously
import qrybit

# Process 1
db1 = qrybit.connect("your-database-id")
db1.execute("INSERT INTO users (name) VALUES (?)", ["Alice"])

# Process 2 - concurrent write
db2 = qrybit.connect("your-database-id")
db2.execute("INSERT INTO orders (user_id, amount) VALUES (?, ?)", [1, 99.99])

# Both transactions succeed with automatic conflict resolution

Vector Storage Integration

Native vector columns for AI applications with semantic search capabilities. Combine structured data with vector embeddings in the same SQLite database.

Technical Details:

  • Native vector columns in SQLite
  • Similarity search queries
  • AI and ML applications
  • Combine structured and vector data

Use Cases:

  • • Document search systems
  • • Recommendation engines
  • • AI-powered applications
  • • Content discovery platforms

Vector Storage Example

SQL
-- Create table with vector column
CREATE TABLE documents (
  id INTEGER PRIMARY KEY,
  title TEXT,
  content TEXT,
  embedding VECTOR(1536)
);

-- Insert document with embedding
INSERT INTO documents (title, content, embedding)
VALUES ('AI Guide', 'Complete AI tutorial...', vector_from_text('AI tutorial'));

-- Similarity search
SELECT title, content FROM documents
WHERE vector_distance(embedding, vector_from_text('machine learning')) < 0.5
ORDER BY vector_distance(embedding, vector_from_text('machine learning'))
LIMIT 10;

Advanced SQLite Features

Full support for modern SQLite features including FTS5, JSON operators, window functions, and more. All the power of SQLite in a hosted environment.

Technical Details:

  • Full-text search (FTS5)
  • JSON operators and functions
  • Window functions
  • Common table expressions (CTEs)
  • Generated columns & partial indexes

Use Cases:

  • • Complex analytical queries
  • • Full-text search applications
  • • JSON document storage
  • • Advanced reporting systems

Advanced SQLite Features

SQL
-- Full-text search
CREATE VIRTUAL TABLE docs_fts USING fts5(title, content);
SELECT * FROM docs_fts WHERE docs_fts MATCH 'database optimization';

-- JSON operations
SELECT json_extract(metadata, '$.category') as category
FROM products
WHERE json_extract(metadata, '$.featured') = true;

-- Window functions
SELECT
  user_id,
  order_date,
  amount,
  SUM(amount) OVER (PARTITION BY user_id ORDER BY order_date) as running_total
FROM orders;

Production-Grade SQLite Infrastructure

Enterprise reliability without the complexity for your SQLite hosting needs

99.9% Uptime SLA

Guaranteed availability with enterprise-grade monitoring

< 8.77 hours downtime/year

Security by Default

End-to-end encryption with industry standards

AES-256 + TLS 1.3

Automatic Backups

Continuous protection with instant restore capabilities

Point-in-time recovery

Edge Performance

Lightning-fast queries from strategic edge locations

Optimized query latency

Built for Developer Productivity

SQLite hosting tools and APIs designed to enhance your development workflow

API Access

REST or SDK interfaces for SQLite hosting

Features:

  • RESTful HTTP interface
  • Interactive API explorer

Framework SDKs

Native framework integration with popular development stacks

Features:

  • Python (Django, Flask, FastAPI)
  • Node.js
  • More frameworks coming soon

QryBit Feature Availability by Tier

All core QryBit features included from day one

Ready to Experience Modern SQLite Hosting?

Start building with production-ready QryBit features today