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Business productivity ⇄ Database

eClinicalWorks to Jdbc integration — real-time, two-way sync

Keep eClinicalWorks and Jdbc in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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  • 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 eClinicalWorks and Jdbc

Mirror eClinicalWorks's data into Jdbc 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 Jdbc.

Stacksync mirrors Immunizations, Documents, Diagnostic reports, Patients from eClinicalWorks into Stored procedures & functions, Sequences, Tables, Views in Jdbc 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

  • 01 Keep provider directories consistent between eClinicalWorks and scheduling or marketing systems.
  • 02 Push referral or intake data captured in external forms into the EHR via HL7 interfaces.
  • 03 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.
  • 04 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.

Common sync patterns

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 Jdbc; 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 Jdbc and Stacksync propagates the change into eClinicalWorks, replacing custom integration code.

What you can sync between eClinicalWorks and Jdbc

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.

eClinicalWorks objects Jdbc objects How this pairing syncs
Practitioners Provider records used to keep directories and scheduling systems consistent. Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Practitioners is specific to eClinicalWorks and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side.
Observations Labs and vitals, delivered via FHIR resources or HL7 ORU result messages. Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Observations is specific to eClinicalWorks and Sequences to Jdbc — each maps to any object or custom field on the other side.
Medications Prescription and medication-list data within the patient record. Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. Medications is specific to eClinicalWorks and Tables to Jdbc — each maps to any object or custom field on the other side.
Allergies Allergy and intolerance entries in the clinical record. Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Allergies is specific to eClinicalWorks and Views to Jdbc — each maps to any object or custom field on the other side.
Immunizations Vaccination history exposed for registries and patient apps. Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Immunizations is specific to eClinicalWorks and Columns to Jdbc — each maps to any object or custom field on the other side.
Documents Clinical notes and attachments referenced from the chart. Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. Documents is specific to eClinicalWorks and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side.

How changes propagate between eClinicalWorks and Jdbc

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.

eClinicalWorks Jdbc Interval-based propagation

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 Jdbc as a row-level write, with types converted between the two schemas.

Jdbc eClinicalWorks Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is written to eClinicalWorks through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • eClinicalWorks: Subject to the platform's API rate limits and interface throughput agreements.
  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with eClinicalWorks ⇄ Jdbc

Connect eClinicalWorks and Jdbc for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever eClinicalWorks or Jdbc 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 eClinicalWorks or Jdbc record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between eClinicalWorks and Jdbc.

How the eClinicalWorks and Jdbc connectors work

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

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
How it works

How to connect eClinicalWorks to Jdbc — 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 eClinicalWorks and Jdbc 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
    eClinicalWorks connected
    Jdbc connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the eClinicalWorks and Jdbc 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 · eClinicalWorks ⇄ Jdbc
    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
    eClinicalWorks Jdbc
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

eClinicalWorks and Jdbc integration FAQ

SECURITY

Security teams trust 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.

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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 364 integrations available for eClinicalWorks and Jdbc.

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