Two-way sync
Changes in Amazon Aurora or Customer.io instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora and Customer.io 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 Amazon Aurora.
Stacksync mirrors Deliveries / Messages, Newsletters, People, Objects from Customer.io into Databases, Schemas, Tables, Views in Amazon Aurora 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.
Records from Customer.io are ordinary rows in Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Amazon Aurora and Stacksync propagates the change into Customer.io, replacing custom integration code.
Updates in Customer.io arrive as row changes in Amazon Aurora, so triggers, jobs, and services can respond in near real time.
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.
| Amazon Aurora objects | Customer.io objects | |
|---|---|---|
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Segments Attribute- or event-based groups; data syncs feed the attributes segments evaluate. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Campaigns Automated workflows whose membership and metrics can be read via the App API. | |
| Databases Logical databases within a cluster that scope a sync connection. | Broadcasts One-off sends to segments or audiences, triggerable via API. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Deliveries / Messages Per-recipient message records whose lifecycle events flow out through reporting webhooks. | |
| Tables Relational tables synced bi-directionally at row level. | Newsletters Recurring email sends with performance metrics available for reporting syncs. | |
| Views Read-only query-backed sources for downstream syncs. | People Profiles with attributes, matched on identifiers like id or email; the main write target of data syncs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Customer.io connection.
Changes in Amazon Aurora or Customer.io instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Customer.io data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Customer.io record.
Track your Amazon Aurora ⇄ Customer.io sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Customer.io.
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 Amazon Aurora and Customer.io 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 Amazon Aurora and Customer.io 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 Amazon Aurora and Customer.io: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Primary and Foreign Keys and Read Replicas), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Amazon Aurora and Customer.io: Read Customer.io with a query; Automate Customer.io from your codebase; React to changes as they happen. Records from Customer.io are ordinary rows in Amazon Aurora; join them, index them, and use them in application logic without touching the vendor API.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. 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. Stacksync manages authentication, retries, and rate limits on both sides.
Customer.io: The Track API is ingestion-oriented: integrations identify people and send events, and Customer.io matches records on identifiers such as id or email. Amazon Aurora: Aurora separates compute from a shared distributed storage layer that keeps six copies of data across three Availability Zones. Stacksync's field mapping accounts for these differences between Amazon Aurora and Customer.io without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Amazon Aurora and Customer.io records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Amazon Aurora and Customer.io connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–Customer.io integration in-house.
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 Amazon Aurora and Customer.io.