🚀 A distributed SQL query engine for unified access to all your data

SQLBridge integrates relational databases, NoSQL, external APIs, and more into a standard SQL interface, providing a flexible and high-performance data processing environment. It allows seamless data integration, enabling tasks like building analytical pipelines, performing cross-system joins, and exposing internal APIs as SQL queries.

• Distributed SQL Execution: Executes SQL queries across multiple data sources in parallel, offering scalability and reliability.
• Universal Data Integration: Connects to various sources (PostgreSQL, MongoDB, REST APIs, etc.).
• Standard SQL Driver: Available as a standard database/sql driver, easily integrable with existing applications.
• Plugin Architecture: Easily add new backends or customize query logic.
• Data Virtualization: Abstracts the complexity of data sources to provide unified virtual views.

• Join PostgreSQL and MongoDB data with a single SQL query
• Combine REST API and database data to build analytical dashboards
• Explore and transform internal data via SQL
• Execute data workflows within Go applications

Register the driver with the standard sql package for easy usage:

drv := driver.New(driver.WithRegistry(registry))
sql.Register("sqlbridge", drv)

Then, run SQL queries like this:

conn, _ := sql.Open("sqlbridge", "source")
rows, _ := conn.QueryContext(ctx, "SELECT * FROM `users` WHERE id = ?", id)

To integrate various systems into SQL, implement the following interfaces:

type Registry interface {
    Catalog(name string) (Catalog, error)
}

type Catalog interface {
    Table(name string) (Table, error)
}

type Table interface {
    Scan(ctx context.Context) (Cursor, error)
}