Two-way sync
Changes in Amazon RDS or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and eClinicalWorks 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 eClinicalWorks 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 RDS.
Stacksync mirrors Observations, Medications, Allergies, Immunizations from eClinicalWorks into Primary and Unique Keys, Read Replicas, Stored Procedures, Databases in Amazon RDS 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 eClinicalWorks, so the tool and the database never disagree.
Updates in eClinicalWorks arrive as row changes in Amazon RDS, 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 eClinicalWorks are ordinary rows in Amazon RDS; 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.
| Amazon RDS objects | eClinicalWorks objects | |
|---|---|---|
| Views Read-side projections exposed to outbound syncs. | Appointments Scheduling records available via FHIR and HL7 SIU messages, synced for reminders and outreach. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Encounters Visit records tying diagnoses, providers, and billing context together. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Practitioners Provider records used to keep directories and scheduling systems consistent. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | Observations Labs and vitals, delivered via FHIR resources or HL7 ORU result messages. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | Medications Prescription and medication-list data within the patient record. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Allergies Allergy and intolerance entries in the clinical record. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–eClinicalWorks connection.
Changes in Amazon RDS or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or eClinicalWorks 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 RDS or eClinicalWorks record.
Track your Amazon RDS ⇄ eClinicalWorks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and eClinicalWorks.
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 RDS and eClinicalWorks 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 RDS and eClinicalWorks 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 RDS and eClinicalWorks: authenticate both systems, choose the objects to sync (such as Amazon RDS's Views and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. On eClinicalWorks: HL7 interface feeds push event messages as they occur; the FHIR API is polled. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the eClinicalWorks side: Observations, Medications, Allergies, Immunizations, plus custom fields where eClinicalWorks exposes them. On the Amazon RDS side: Primary and Unique Keys, Read Replicas, Stored Procedures, Databases. 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 Amazon RDS and eClinicalWorks: React to changes as they happen; One integration pattern for the whole stack; Read eClinicalWorks with a query. Updates in eClinicalWorks arrive as row changes in Amazon RDS, so triggers, jobs, and services can respond in near real time.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. eClinicalWorks: FHIR R4 REST API plus HL7 v2 interfaces (ADT, SIU, ORU) through an interface engine. Authentication: OAuth 2.0 / SMART on FHIR for the FHIR API; site-configured credentials for HL7 interface connections. 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 Amazon RDS and eClinicalWorks.