Two-way sync
Changes in Apache Hive or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Hive 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.
Whatever eClinicalWorks is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Diagnostic reports, Patients, Appointments, Encounters from eClinicalWorks into tables in Apache Hive continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Apache Hive can also be written back into fields in eClinicalWorks where the tool can use them.
Segments, scores, or reference values computed in Apache Hive sync back onto records in eClinicalWorks, putting analysis where the work happens.
A continuously synced copy in Apache Hive preserves a queryable record even as data ages out of eClinicalWorks or gets changed inside it.
Records and events from eClinicalWorks land in Apache Hive as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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.
| Apache Hive objects | eClinicalWorks objects | |
|---|---|---|
| Materialized Views Precomputed results available in newer Hive versions for faster reads. | Patients Demographic records exposed via FHIR Patient resources and HL7 ADT feeds; the anchor for all clinical syncs. | |
| ACID Tables ORC-backed transactional tables that support row-level insert, update, and delete. | Appointments Scheduling records available via FHIR and HL7 SIU messages, synced for reminders and outreach. | |
| Metastore Catalog The schema registry other engines (Spark, Presto, Impala) also read. | Encounters Visit records tying diagnoses, providers, and billing context together. | |
| Databases Metastore namespaces that scope tables and grants. | Practitioners Provider records used to keep directories and scheduling systems consistent. | |
| Managed Tables Tables whose data lifecycle Hive controls, used as warehouse destinations. | Observations Labs and vitals, delivered via FHIR resources or HL7 ORU result messages. | |
| External Tables Tables over existing files in HDFS or object storage, read without moving data. | Medications Prescription and medication-list data within the patient record. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Hive–eClinicalWorks connection.
Changes in Apache Hive or eClinicalWorks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Hive 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 Apache Hive or eClinicalWorks record.
Track your Apache Hive ⇄ eClinicalWorks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Hive 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 Apache Hive 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 Apache Hive 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 Apache Hive and eClinicalWorks: authenticate both systems, choose the objects to sync (such as Apache Hive's Materialized Views and ACID Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
eClinicalWorks: All patient data is PHI, so integrations must run under HIPAA business associate agreements with appropriate access controls. Apache Hive: Partitioned tables map partitions to directory paths, making partition values a natural incremental-sync boundary. Stacksync's field mapping accounts for these differences between Apache Hive 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 Apache Hive and eClinicalWorks records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Hive and eClinicalWorks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Hive–eClinicalWorks integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Hive and eClinicalWorks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Hive: Polling on partition values or timestamp columns; no general-purpose change log for external consumers. 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.
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 Apache Hive and eClinicalWorks.