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Amazon DynamoDB to NextGen Healthcare integration — real-time, two-way sync

Keep Amazon DynamoDB and NextGen Healthcare 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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Why teams connect Amazon DynamoDB and NextGen Healthcare

Mirror NextGen Healthcare's data into Amazon DynamoDB 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 NextGen Healthcare 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 Amazon DynamoDB.

Stacksync mirrors Medications & Allergies, Lab Results, Insurance / Coverage, Charges & Billing from NextGen Healthcare into DynamoDB Streams, Global Tables, Time to Live (TTL), Tables in Amazon DynamoDB 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 NextGen Healthcare, so the tool and the database never disagree.

Common use cases

  • 01 Sync patient demographics into a CRM for engagement and intake workflows.
  • 02 Push appointment schedules to reminder and communication tools and write confirmations back.
  • 03 Use DynamoDB Streams as a change-data-capture source to push item INSERT, MODIFY, and REMOVE events into a CRM, search index, or operational database in near-real-time.
  • 04 Backfill or migrate records into DynamoDB from another database using BatchWriteItem, then keep the two stores in continuous sync.

Common sync patterns

React to changes as they happen

Updates in NextGen Healthcare arrive as row changes in Amazon DynamoDB, so triggers, jobs, and services can respond in near real time.

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 NextGen Healthcare with a query

Records from NextGen Healthcare are ordinary rows in Amazon DynamoDB; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Amazon DynamoDB and NextGen Healthcare

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.

Amazon DynamoDB objects NextGen Healthcare objects How this pairing syncs
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Charges & Billing Practice-management financial data synced for revenue-cycle analytics. Time to Live (TTL) is specific to Amazon DynamoDB and Charges & Billing to NextGen Healthcare — each maps to any object or custom field on the other side.
Tables Top-level containers, each with a partition key and optional sort key; Stacksync syncs a table as a stream of items with full read and write via PutItem, UpdateItem, and DeleteItem. Patients Demographic records synced to CRMs and engagement tools for outreach and intake. Tables is specific to Amazon DynamoDB and Patients to NextGen Healthcare — each maps to any object or custom field on the other side.
Items Individual schemaless records (attributes up to 400 KB each); read with GetItem, Query, and Scan and written with PutItem or BatchWriteItem, so write is supported here. Appointments Schedule data read and written for reminders, self-scheduling, and capacity reporting. Items is specific to Amazon DynamoDB and Appointments to NextGen Healthcare — each maps to any object or custom field on the other side.
Global secondary indexes (GSIs) Alternate key projections that let you Query by non-key attributes without a full table Scan; read-only views maintained automatically by DynamoDB. Encounters Visit records landed in analytics stores for utilization and quality reporting. Global secondary indexes (GSIs) is specific to Amazon DynamoDB and Encounters to NextGen Healthcare — each maps to any object or custom field on the other side.
Local secondary indexes (LSIs) Extra sort keys within the same partition key, defined at table creation; queried like the base table for alternate access patterns. Providers Clinician and location directories kept consistent across scheduling and web systems. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Providers to NextGen Healthcare — each maps to any object or custom field on the other side.
DynamoDB Streams Ordered item-level change records (INSERT, MODIFY, REMOVE) with old/new image views and 24-hour retention; the native change-data-capture source Stacksync reads for near-real-time sync. Clinical Documents Notes and attachments exchanged with referral and document-management workflows. DynamoDB Streams is specific to Amazon DynamoDB and Clinical Documents to NextGen Healthcare — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and NextGen Healthcare

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.

Amazon DynamoDB NextGen Healthcare Sub-second propagation

DetectionChanges in Amazon DynamoDB are captured at the source via change data capture — no polling loop against its API. DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views.

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

NextGen Healthcare Amazon DynamoDB Interval-based propagation

DetectionStacksync polls NextGen Healthcare for changes on an incremental schedule, reading only records changed since the previous pass. Polling, typically filtering on last-updated timestamps.

DeliveryEach detected change is applied to Amazon DynamoDB as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon DynamoDB: Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.
  • NextGen Healthcare: Subject to the platform's API rate limits and healthcare data-access agreements.
What ships with Amazon DynamoDB ⇄ NextGen Healthcare

Connect Amazon DynamoDB and NextGen Healthcare for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon DynamoDB–NextGen Healthcare connection.

Real-time

Two-way sync

Changes in Amazon DynamoDB or NextGen Healthcare instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or NextGen Healthcare 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 Amazon DynamoDB or NextGen Healthcare record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ NextGen Healthcare sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Amazon DynamoDB and NextGen Healthcare.

How the Amazon DynamoDB and NextGen Healthcare connectors work

Amazon DynamoDB

Integration surface
AWS SDK / low-level HTTPS JSON API at dynamodb.<region>.amazonaws.com (PutItem, GetItem, UpdateItem, DeleteItem, Query, Scan, BatchWriteItem, TransactWriteItems), plus PartiQL (ExecuteStatement) for SQL-style access and DynamoDB Streams for change capture.
Authentication
AWS Signature Version 4 (SigV4) signed requests using an IAM access key ID and secret key, or temporary STS credentials from an assumed IAM role; IAM policies scope access down to table and item level.
Change detection
DynamoDB Streams emit ordered item-level change records (INSERT, MODIFY, REMOVE) with KEYS_ONLY, NEW_IMAGE, OLD_IMAGE, or NEW_AND_OLD_IMAGES views and 24-hour retention, read via shard iterators (or Kinesis Data Streams for longer retention). No native HTTP webhooks.
Capabilities
read · write · CDC
Rate limits
Throughput is metered in read/write capacity units (provisioned or on-demand): 1 WCU = one 1 KB write per second, 1 RCU = one strongly-consistent 4 KB read per second. Exceeding capacity or the ~3,000 RCU / 1,000 WCU per-partition ceiling returns ProvisionedThroughputExceededException with throttling.

NextGen Healthcare

Integration surface
REST API, including FHIR-based endpoints published through NextGen's developer API program
Authentication
OAuth 2.0
Change detection
Polling, typically filtering on last-updated timestamps; no general-purpose webhook surface
Capabilities
read · write
Rate limits
Subject to the platform's API rate limits and healthcare data-access agreements.
How it works

How to connect Amazon DynamoDB to NextGen Healthcare — 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 Amazon DynamoDB and NextGen Healthcare 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
    Amazon DynamoDB connected
    NextGen Healthcare connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon DynamoDB and NextGen Healthcare 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 · Amazon DynamoDB ⇄ NextGen Healthcare
    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
    Amazon DynamoDB NextGen Healthcare
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Amazon DynamoDB and NextGen Healthcare 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 402 integrations available for Amazon DynamoDB and NextGen Healthcare.

Popular · 4 of 402
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