Bring data close to your applications and users

Build stateful applications with low-latency data access using distributed databases and storage—without managing infrastructure.

Store structured relational data, application state, and files where your workloads run

Structured data with SQL

Query relational data with SQLite syntax. Create tables, indexes, and joins. Store vectors for AI embeddings alongside application data.

Fast key-value access

Store and retrieve state with sub-10ms latency. Use KV Store for session data, feature flags, and real-time counters.

Object storage at scale

Upload and serve large files with S3-compatible API. Store images, videos, and static assets. Class C operations are FREE.

Explore SQL Database, KV Store, and Object Storage

Run SQL queries across distributed infrastructure with low latency and strong consistency. Store application data, vectors for AI, and structured data with vector search capabilities.

SQLite Dialect

Use familiar SQL queries with SQLite syntax. Fully ACID-compliant with strong consistency.

Vector Search for AI

Store embeddings and run vector similarity search. Build RAG pipelines and AI applications.

Query from Functions

Call SQL directly from your Functions. No connection pooling, no cold starts.

Main/Replicas Architecture

Ultra-low latency with distributed reads and writes across 100+ locations.

Why store with Azion

Globally distributed by default

Data stored and served across 100+ locations. Queries and reads run close to users without manual region selection.

Integrated storage services

SQL Database, KV Store, and Object Storage work together in the same architecture. Query from Functions, cache objects, store vectors alongside relational data.

Developer-first APIs

SQLite syntax for SQL, simple key-value APIs for KV, REST API for Object Storage. No new query languages, no complex configuration.

Storage that works with your application logic

AI Applications: combine vectors, structured data, and Functions

Build AI-powered applications with SQL Database for vectors and relational data, KV Store for session state, and Functions for inference logic. Run RAG pipelines and AI agents close to users.

View Solution Case

AI application architecture with SQL Database vectors

Modern storage patterns built on distributed infrastructure

Frequently Asked Questions

What can I store with Azion's storage services?

You can store structured application data in SQL Database with SQLite syntax, key-value pairs in KV Store for fast access, and large objects like images, videos, and documents in Object Storage. All three services integrate with Functions and work together in the same architecture.

What's the difference between SQL Database, KV Store, and Object Storage?

SQL Database is for structured relational data with SQLite queries, indexes, and joins, plus vector search for AI. KV Store is for fast key-value operations like session data, feature flags, and counters with sub-10ms latency. Object Storage is for large files like images, videos, and static assets with S3-compatible API.

How do SQL Database, KV Store, and Object Storage work together?

All three storage services integrate with Functions and the Rules Engine. You can query SQL Database from Functions, read and write KV Store pairs, and process Object Storage uploads on events. Applications can combine structured data in SQL, state in KV, and files in Object Storage in the same architecture.

How does globally distributed storage improve performance?

Data is stored and served across 100+ locations worldwide. Queries, reads, and downloads run close to users, reducing latency and improving response times. You don't need to choose regions or manually distribute data—it's handled automatically by the platform.

What are common use cases for Store products?

Common use cases include building RAG pipelines with SQL Database vectors, managing user sessions and authentication tokens in KV Store, storing and processing images or videos in Object Storage, implementing feature flags and A/B testing, tracking API usage with real-time counters, and serving static assets through Cache after upload.

Can I use SQL Database for AI applications?

Yes. SQL Database supports vector storage for embeddings, allowing you to build RAG pipelines and AI applications that combine structured application data with vector search. You can query vectors directly from Functions and integrate with AI Inference for generation tasks.

How do I get started with Azion storage services?

You can start creating databases, KV stores, and object storage buckets through the Azion Console, CLI, or API. SQL Database uses SQLite syntax, KV Store provides simple key-value APIs, and Object Storage offers S3-compatible REST API for uploads. All services are available on the free tier.

How does pricing work for storage services?

Pricing is based on storage volume, data transfer, and operations for each service. SQL Database charges for storage and queries, KV Store for reads and writes, and Object Storage for storage and data transfer with Class C operations being free. All services have free tier allowances to help you get started.

Access to all STORE features.

$300 free credits

Store Data Globally