Two-way sync
Changes in Amazon Aurora or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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 Aurora.
Stacksync mirrors Practitioners, Observations, Medications, Allergies from eClinicalWorks into Columns and Data Types, Primary and Foreign Keys, Read Replicas, Databases 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 eClinicalWorks, so the tool and the database never disagree.
Updates in eClinicalWorks arrive as row changes in Amazon Aurora, 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 Aurora; 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 Aurora objects | eClinicalWorks objects | How this pairing syncs | |
|---|---|---|---|
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Practitioners Provider records used to keep directories and scheduling systems consistent. | Read Replicas is specific to Amazon Aurora and Practitioners to eClinicalWorks — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | Observations Labs and vitals, delivered via FHIR resources or HL7 ORU result messages. | Databases is specific to Amazon Aurora and Observations to eClinicalWorks — each maps to any object or custom field on the other side. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Medications Prescription and medication-list data within the patient record. | Schemas is specific to Amazon Aurora and Medications to eClinicalWorks — each maps to any object or custom field on the other side. | |
| Tables Relational tables synced bi-directionally at row level. | Allergies Allergy and intolerance entries in the clinical record. | Tables is specific to Amazon Aurora and Allergies to eClinicalWorks — each maps to any object or custom field on the other side. | |
| Views Read-only query-backed sources for downstream syncs. | Immunizations Vaccination history exposed for registries and patient apps. | Views is specific to Amazon Aurora and Immunizations to eClinicalWorks — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Documents Clinical notes and attachments referenced from the chart. | Materialized Views is specific to Amazon Aurora and Documents to eClinicalWorks — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
DeliveryEach detected change is written to eClinicalWorks through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls eClinicalWorks for changes on an incremental schedule, reading only records changed since the previous pass. HL7 interface feeds push event messages as they occur.
DeliveryEach detected change is applied to Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–eClinicalWorks connection.
Changes in Amazon Aurora or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora 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 Aurora or eClinicalWorks record.
Track your Amazon Aurora ⇄ eClinicalWorks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora 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 Aurora 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 Aurora 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 Aurora and eClinicalWorks: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Read Replicas and Databases), 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 Amazon Aurora and eClinicalWorks 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 eClinicalWorks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Aurora–eClinicalWorks integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Aurora and eClinicalWorks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; 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: Practitioners, Observations, Medications, Allergies, plus custom fields where eClinicalWorks exposes them. On the Amazon Aurora side: Columns and Data Types, Primary and Foreign Keys, Read Replicas, Databases. 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 367 integrations available for Amazon Aurora and eClinicalWorks.