Two-way sync
Changes in AWS Aurora MySQL or NextGen Healthcare instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL and NextGen Healthcare 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 NextGen Healthcare 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 AWS Aurora MySQL.
Stacksync mirrors Patients, Appointments, Encounters, Providers from NextGen Healthcare into Views, Foreign keys, Stored procedures and triggers, Databases (schemas) in AWS Aurora MySQL 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 NextGen Healthcare, so the tool and the database never disagree.
Updates in NextGen Healthcare arrive as row changes in AWS Aurora MySQL, 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 NextGen Healthcare are ordinary rows in AWS Aurora MySQL; 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.
| AWS Aurora MySQL objects | NextGen Healthcare objects | |
|---|---|---|
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Charges & Billing Practice-management financial data synced for revenue-cycle analytics. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Patients Demographic records synced to CRMs and engagement tools for outreach and intake. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Appointments Schedule data read and written for reminders, self-scheduling, and capacity reporting. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Encounters Visit records landed in analytics stores for utilization and quality reporting. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Providers Clinician and location directories kept consistent across scheduling and web systems. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Clinical Documents Notes and attachments exchanged with referral and document-management workflows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–NextGen Healthcare connection.
Changes in AWS Aurora MySQL or NextGen Healthcare instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL or NextGen Healthcare 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 or NextGen Healthcare record.
Track your AWS Aurora MySQL ⇄ NextGen Healthcare sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and NextGen Healthcare.
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 and NextGen Healthcare 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 AWS Aurora MySQL and NextGen Healthcare 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 AWS Aurora MySQL and NextGen Healthcare: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Stored procedures and triggers and Databases (schemas)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 AWS Aurora MySQL and NextGen Healthcare records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and NextGen Healthcare connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–NextGen Healthcare integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and NextGen Healthcare. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. On NextGen Healthcare: Polling, typically filtering on last-updated timestamps; no general-purpose webhook surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the NextGen Healthcare side: Patients, Appointments, Encounters, Providers, plus custom fields where NextGen Healthcare exposes them. On the AWS Aurora MySQL side: Views, Foreign keys, Stored procedures and triggers, Databases (schemas). Stacksync auto-detects both schemas and converts types between the two systems.
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 AWS Aurora MySQL and NextGen Healthcare.