Two-way sync
Changes in AWS Aurora PostgreSQL or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.
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.
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.
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.
Write to the synced tables in AWS Aurora PostgreSQL and Stacksync propagates the change into eClinicalWorks, replacing custom integration code.
Updates in eClinicalWorks 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 | 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. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–eClinicalWorks connection.
Changes in AWS Aurora PostgreSQL or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or eClinicalWorks record.
Track your AWS Aurora PostgreSQL ⇄ eClinicalWorks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 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.
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.
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 eClinicalWorks: 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.
Common patterns for AWS Aurora PostgreSQL and eClinicalWorks: Read eClinicalWorks with a query; Automate eClinicalWorks from your codebase; React to changes as they happen. 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.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. 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.
eClinicalWorks: All patient data is PHI, so integrations must run under HIPAA business associate agreements with appropriate access controls. AWS Aurora PostgreSQL: Aurora's storage layer replicates data six ways across three Availability Zones and is shared by up to 15 read replicas. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and eClinicalWorks 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 eClinicalWorks 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 eClinicalWorks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–eClinicalWorks integration in-house.
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 eClinicalWorks.