Two-way sync
Changes in Customer.io or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Keep Customer.io and Google Cloud SQL in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like Customer.io through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Google Cloud SQL.
Stacksync mirrors Newsletters, People, Objects, Events from Customer.io into Transaction logs, Instances, Databases, Schemas in Google Cloud SQL and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Customer.io, so the tool and the database never disagree.
Updates in Customer.io arrive as row changes in Google Cloud SQL, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Customer.io are ordinary rows in Google Cloud SQL; join them, index them, and use them in application logic without touching the vendor API.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Customer.io objects | Google Cloud SQL objects | |
|---|---|---|
| Broadcasts One-off sends to segments or audiences, triggerable via API. | Schemas Namespace tables in PostgreSQL and SQL Server instances. | |
| Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks. | Tables Mapped directly to sync targets; schema changes can be propagated. | |
| Newsletters Recurring email sends with performance metrics available for reporting syncs. | Rows Read and written by primary key during each sync cycle. | |
| People Profiles with attributes, matched on identifiers like id or email; the main write target of data syncs. | Views Read-only sources for shaping data before syncing it out. | |
| Objects Non-person entities such as accounts or companies, related to people for account-level messaging. | Transaction logs MySQL binlog or PostgreSQL WAL, the source for log-based change capture. | |
| Events Behavioral events sent via the Track API that trigger campaigns. | Instances The managed MySQL, PostgreSQL, or SQL Server server a sync connects to. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Customer.io–Google Cloud SQL connection.
Changes in Customer.io or Google Cloud SQL instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Customer.io or Google Cloud SQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Customer.io or Google Cloud SQL record.
Track your Customer.io ⇄ Google Cloud SQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Customer.io and Google Cloud SQL.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Customer.io and Google Cloud SQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Customer.io and Google Cloud SQL objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Customer.io and Google Cloud SQL: authenticate both systems, choose the objects to sync (such as Customer.io's Broadcasts and Deliveries / Messages), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Customer.io: Reporting webhooks push message and delivery events; person attribute changes are not streamed and require source-side detection. On Google Cloud SQL: Engine-dependent log-based CDC: MySQL binlog, PostgreSQL logical replication, SQL Server change tracking; polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Customer.io side: Newsletters, People, Objects, Events, plus custom fields where Customer.io exposes them. On the Google Cloud SQL side: Transaction logs, Instances, Databases, Schemas. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Customer.io and Google Cloud SQL: React to changes as they happen; One integration pattern for the whole stack; Read Customer.io with a query. Updates in Customer.io arrive as row changes in Google Cloud SQL, so triggers, jobs, and services can respond in near real time.
Customer.io: REST APIs split by purpose: Track API for data ingestion, App API for campaigns, people lookups, and messages. Authentication: Basic auth with site ID and API key for the Track API; bearer token for the App API. Google Cloud SQL: Native SQL wire protocols (MySQL, PostgreSQL, SQL Server) plus a REST admin API for instance management. Authentication: Database credentials; IAM database authentication is available for MySQL and PostgreSQL. Stacksync manages authentication, retries, and rate limits on both sides.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Customer.io and Google Cloud SQL.