Bridging the Database Ecosystem: Cross-DB Sync, REST from SQL, and Multi-DB ETL

Bridging the database frontier is heating up. Four projects poke at the seams between ecosystems—cross-DB sync, REST from SQL, universal ETL, and TS type generation.

SQLite extension to synchronize data using PostgreSQL logical replication, expanding cross-DB sync beyond a single engine. It’s a pragmatic bridge for local apps to push changes up to a server-side PostgreSQL, letting teams keep caches or mobile apps in sync without building custom adapters ^[1].

RestSQL is a lightweight tool that turns SQL queries (defined in YAML) into ready-to-run REST endpoints. It works standalone or as a library and supports transactions, nested JSON output, and multiple database providers, making it easy to expose existing data through a stable API ^[2].

GraFlo is a universal ETL tool for property KG that supports Neo4j, TigerGraph, and ArangoDB. You define a database-agnostic graph schema—vertices, edges, properties—and GraFlo generates ingestion scripts, handles ID generation, type coercion, and deduplication across target databases ^[3].

KnexBridge introspects a Knex DB and auto-generates: bridge.schema.ts with strongly-typed table definitions and bridge.validation.ts with Zod schemas. It currently supports SQLite; PostgreSQL and MySQL are on the roadmap, with plans for OpenAPI output and watch mode ^[4].

Together, these projects show a trend: data teams want engines to talk to each other without bespoke glue, and to keep code in sync with the database.

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