Two-way sync
Changes in AWS Aurora MySQL instantly reflect across connected systems. No stale data, no manual imports.
Two-way sync AWS Aurora MySQL across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.
Changes in AWS Aurora MySQL instantly reflect across connected systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora MySQL record.
Track your AWS Aurora MySQL sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions.
Pick the system you need to keep in sync with AWS Aurora MySQL. Each page covers the sync setup, field mapping, and common workflows for that pair.
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 AWS Aurora MySQL with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the AWS Aurora MySQL objects to sync — Stacksync auto-detects the schema, 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.
FAQ
AWS Aurora MySQL's core objects — Databases (schemas), Tables, Rows, Columns and custom fields — can sync with any of 194 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.
Via SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC, authenticated with Database credentials, optionally AWS IAM database authentication, over TLS. Changes are detected as follows — log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. Stacksync manages rate limits, retries, and schema changes automatically.
Yes. Changes made in AWS Aurora MySQL propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.
Most AWS Aurora MySQL integrations go live in minutes: authenticate AWS Aurora MySQL and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.
Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. AWS Aurora MySQL data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.
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: