Two-way sync
Changes in AWS Aurora PostgreSQL or NextGen Healthcare instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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 PostgreSQL.
Stacksync mirrors Charges & Billing, Patients, Appointments, Encounters from NextGen Healthcare into Tables, Rows, Columns, Primary keys and constraints in AWS Aurora PostgreSQL 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.
Records from NextGen Healthcare are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into NextGen Healthcare, replacing custom integration code.
Updates in NextGen Healthcare arrive as row changes in AWS Aurora PostgreSQL, 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.
| AWS Aurora PostgreSQL objects | NextGen Healthcare objects | |
|---|---|---|
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Medications & Allergies Clinical list data read via standardized FHIR resources for care coordination. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Lab Results Result data read for patient-facing portals and analytics. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Insurance / Coverage Payer and eligibility data reconciled with billing and clearinghouse systems. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Charges & Billing Practice-management financial data synced for revenue-cycle analytics. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Patients Demographic records synced to CRMs and engagement tools for outreach and intake. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Appointments Schedule data read and written for reminders, self-scheduling, and capacity reporting. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–NextGen Healthcare connection.
Changes in AWS Aurora PostgreSQL or NextGen Healthcare instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 PostgreSQL or NextGen Healthcare record.
Track your AWS Aurora PostgreSQL ⇄ NextGen Healthcare sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL and NextGen Healthcare: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Foreign keys and Replication slots and publications), map fields visually, and changes propagate both ways in milliseconds — no code required.
NextGen Healthcare: Integrations handle PHI, so they typically require a business associate agreement and HIPAA-compliant infrastructure on the sync side. AWS Aurora PostgreSQL: Logical replication uses publications and replication slots, so CDC reads changes from the write-ahead log without polling production tables. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and NextGen Healthcare 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 AWS Aurora PostgreSQL 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 PostgreSQL and NextGen Healthcare connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–NextGen Healthcare integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL 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 PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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.
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 PostgreSQL and NextGen Healthcare.