Integrations for plain-English data pipelines
rsync.ai is a plain-English data pipeline: describe a sync and an LLM agent builds it — nothing runs until you approve the plan — with built-in connectors for Postgres, MySQL, SQL Server & MongoDB real-time CDC, the BigQuery & Databricks warehouses, S3, Google Cloud Storage, Azure Blob, and Google Sheets, plus Shopify for SaaS, and an AI Tool Generator for any REST/GraphQL API.
Live connectors with step-by-step setup — PostgreSQL, MySQL, SQL Server, and MongoDB with real-time CDC; the BigQuery and Databricks warehouses; AWS S3, Google Cloud Storage, Azure Blob, and Google Sheets for storage; and Shopify for SaaS, with Stripe and GitHub in preview. Don't see yours? The AI Tool Generator (rsync.ai Cloud) builds an AI-generated connector (an MCP server) from any REST or GraphQL docs URL in minutes.
Popular pipelines
Step-by-step guides for the most common source-to-destination pairs — auth setup, exact resources synced, and the destination schema rsync.ai produces.
SQL Server → warehouse
View guide →MongoDB → warehouse
View guide →Load into BigQuery
View guide →Load into Databricks
View guide →Shopify → MySQL
View guide →Shopify → PostgreSQL
View guide →Shopify → Google Sheets
View guide →Stripe → PostgreSQL
View guide →Postgres → MySQL
View guide →Postgres → AWS S3
View guide →Postgres → Google Sheets
View guide →MySQL → PostgreSQL
View guide →MySQL → AWS S3
View guide →MySQL → Google Sheets
View guide →AWS S3 pipelines
View guide →Google Cloud Storage
View guide →Azure Blob Storage
View guide →All Shopify integrations
View guide →PostgreSQL → warehouse (CDC)
View guide →MySQL → warehouse (CDC)
View guide →Featured source connectors
Each source-and-destination pair has its own page with auth setup, the exact resources synced, sync-mode options (batch or CDC), and the destination schema layout rsync.ai produces.
Sync Shopify orders, customers, products, collections and inventory to PostgreSQL, MySQL, Google Sheets and cloud storage on a schedule — customer contact details are excluded by default.
Sync Stripe charges, customers, subscriptions, invoices, and payment intents to your database — scheduled batch with cursor pagination, no per-row fees. The Stripe connector is in preview.
Real-time CDC from PostgreSQL via logical replication. Capture every INSERT, UPDATE and DELETE as it commits. Works with RDS, Aurora, Azure Database for PostgreSQL and self-managed Postgres.
Real-time CDC from MySQL via binlog ROW replication, resuming by GTID or file and position. Works with MySQL 5.7+, RDS, Aurora, Cloud SQL and Azure Database for MySQL.
All available connectors
Connectors are grouped by what they do. The same connector can be a source, a destination, or both, depending on the pipeline you describe.
Databases with real-time CDC
Log-based CDC for transactional sources — logical replication, binlog, SQL Server change tables, and MongoDB change streams. Changes arrive in near real time, and every run keeps its history.
Cloud warehouses & lakehouse
Managed analytics destinations. rsync.ai lands typed tables with incremental merge and waits for you to approve the plan before anything is created. BigQuery and Databricks are live in production; Snowflake and Redshift are in preview.
Storage & spreadsheets
Object storage and shareable spreadsheets. Useful as both source and destination for backups, analytics handoff, and ad-hoc reporting. Blob passthrough moves any file byte-for-byte between clouds.
SaaS & API connectors
Shopify is live in production; Stripe and GitHub are in preview. Any other SaaS or API source, the AI Tool Generator (rsync.ai Cloud) builds on demand from its REST or GraphQL docs — auth, schema discovery, and pagination handled.
How a rsync.ai integration runs
Every connector — built-in or AI-generated — follows the same three steps. The chat agent does the heavy lifting; you stay in control of the decisions that matter.
Describe the sync in plain English
Say "sync Shopify orders to Postgres every hour" in the chat. No YAML, no DAG, no Python operator to write.
Approve the plan
rsync.ai introspects the source, proposes destination tables with column types, and does not create or start a pipeline until you confirm the plan.
Run and monitor
Pipelines emit OpenTelemetry traces to SigNoz, and every run keeps its history.
Don't see your connector?
Point the AI Tool Generator (rsync.ai Cloud only) at any REST or GraphQL docs URL and it produces a versioned AI-generated connector — auth, schema discovery, cursor pagination, and a Dockerfile included. Generation takes minutes, and you review the connector before it runs.
More integrations live on the homepage — browse all connectors →