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Database ⇄ Business productivity

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

Keep AWS Aurora MySQL 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 MySQL and eClinicalWorks

Mirror eClinicalWorks's data into AWS Aurora MySQL 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 MySQL.

Stacksync mirrors Diagnostic reports, Patients, Appointments, Encounters from eClinicalWorks into Foreign keys, Stored procedures and triggers, Databases (schemas), Tables 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 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.
  • Give backend services read and write access to ERP or billing data by syncing it into Aurora tables the application already queries.
  • Stream row changes from Aurora into SaaS tools via binlog CDC instead of scheduled batch exports.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read eClinicalWorks with a query

Records from eClinicalWorks are ordinary rows in AWS Aurora MySQL; 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 MySQL and Stacksync propagates the change into eClinicalWorks, replacing custom integration code.

What you can sync between AWS Aurora MySQL 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 MySQL objects eClinicalWorks objects
Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. Medications Prescription and medication-list data within the patient record.
Databases (schemas) Logical namespaces that scope which tables a sync connection can see. Allergies Allergy and intolerance entries in the clinical record.
Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. Immunizations Vaccination history exposed for registries and patient apps.
Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. Documents Clinical notes and attachments referenced from the chart.
Columns MySQL data types are mapped to the paired system's field types during schema setup. Diagnostic reports Structured result reports grouping observations for a study or panel.
Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. Patients Demographic records exposed via FHIR Patient resources and HL7 ADT feeds; the anchor for all clinical syncs.
What ships with AWS Aurora MySQL ⇄ eClinicalWorks

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

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

Real-time

Two-way sync

Changes in AWS Aurora MySQL 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 MySQL 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 MySQL or eClinicalWorks record.

Observability

Monitoring

Track your AWS Aurora MySQL ⇄ 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 MySQL and eClinicalWorks.

How the AWS Aurora MySQL and eClinicalWorks connectors work

AWS Aurora MySQL

Integration surface
SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL 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 MySQL 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 MySQL connected
    eClinicalWorks connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora MySQL 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 MySQL ⇄ 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 MySQL eClinicalWorks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora MySQL 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

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

Popular · 8 of 386
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