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Database ⇄ Business productivity

AWS Aurora PostgreSQL to eClinicalWorks integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL 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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS Aurora PostgreSQL and eClinicalWorks

Mirror eClinicalWorks's data into AWS Aurora PostgreSQL so your own code can read and write it like any other table, with changes flowing both ways in seconds.

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 AWS Aurora PostgreSQL.

Stacksync mirrors Diagnostic reports, Patients, Appointments, Encounters from eClinicalWorks 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 eClinicalWorks, so the tool and the database never disagree.

Common use cases

  • Push referral or intake data captured in external forms into the EHR via HL7 interfaces.
  • Sync patient demographics and appointments into a CRM so patient outreach and intake teams work from current data.
  • Feed operational dashboards from a read replica while the writer handles sync traffic.
  • Expose ERP records such as customers, orders, and invoices as Postgres tables the engineering team can query and update with plain SQL.

Read eClinicalWorks with a query

Records from eClinicalWorks are ordinary rows in AWS Aurora PostgreSQL; join them, index them, and use them in application logic without touching the vendor API.

Automate eClinicalWorks from your codebase

Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into eClinicalWorks, replacing custom integration code.

React to changes as they happen

Updates in eClinicalWorks arrive as row changes in AWS Aurora PostgreSQL, so triggers, jobs, and services can respond in near real time.

What you can sync between AWS Aurora PostgreSQL and eClinicalWorks

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 eClinicalWorks objects
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Appointments Scheduling records available via FHIR and HL7 SIU messages, synced for reminders and outreach.
Replication slots and publications The logical replication objects that power log-based CDC. Encounters Visit records tying diagnoses, providers, and billing context together.
Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. Practitioners Provider records used to keep directories and scheduling systems consistent.
Tables The core sync unit; rows are matched across systems by primary key. Observations Labs and vitals, delivered via FHIR resources or HL7 ORU result messages.
Rows Inserted, updated, and deleted in both directions during bi-directional syncs. Medications Prescription and medication-list data within the patient record.
Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. Allergies Allergy and intolerance entries in the clinical record.
What ships with AWS Aurora PostgreSQL ⇄ eClinicalWorks

Connect AWS Aurora PostgreSQL and eClinicalWorks for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–eClinicalWorks connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or eClinicalWorks data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or eClinicalWorks record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ eClinicalWorks sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and eClinicalWorks.

How the AWS Aurora PostgreSQL and eClinicalWorks connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

eClinicalWorks

Integration surface
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
Change detection
HL7 interface feeds push event messages as they occur; the FHIR API is polled
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits and interface throughput agreements
How it works

How to connect AWS Aurora PostgreSQL to eClinicalWorks — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate AWS Aurora PostgreSQL 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora PostgreSQL connected
    eClinicalWorks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora PostgreSQL ⇄ eClinicalWorks
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora PostgreSQL eClinicalWorks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

AWS Aurora PostgreSQL and eClinicalWorks integration FAQ

SECURITY

Security teams love Stacksync

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.

SOC 2 type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for AWS Aurora PostgreSQL and eClinicalWorks.

Popular · 8 of 386
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