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Database ⇄ Accounting and finance

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

Keep Amazon DynamoDB and Hyperline 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 Hyperline

Work with Hyperline's financial data straight from Amazon DynamoDB: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.

Engineers need finance data more often than finance systems make it easy to get: for internal tools, reporting services, or logic that reacts to invoices and payments. Working through the vendor API means rate limits, pagination, and glue code that has to be maintained forever.

Stacksync mirrors Subscriptions, Products / prices, Invoices, Payments from Hyperline into Global Tables, Time to Live (TTL), Tables, Items in Amazon DynamoDB and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Amazon DynamoDB, and rows your code writes or updates flow back into Hyperline with validation, so the finance system stays the system of record.

Common use cases

  • 01 Keep plan and entitlement state consistent between Hyperline and the application database that enforces feature access.
  • 02 Create billing customers automatically when new accounts appear in the CRM or product database.
  • 03 Mirror a high-write DynamoDB table into a relational database so teams can join NoSQL application data against relational tables for reporting.
  • 04 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.

Common sync patterns

Query finance data like any other data

Customers, invoices, and payments from Hyperline live in Amazon DynamoDB as regular tables or collections your team can join, index, and query.

Internal tools without API plumbing

Build dashboards and back-office tools directly on Amazon DynamoDB; Stacksync handles the API calls, rate limits, and retries against Hyperline.

Write back safely

Updates written to the synced tables in Amazon DynamoDB propagate into Hyperline, so automations can create or correct finance records without custom integration code.

What you can sync between Amazon DynamoDB and Hyperline

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 Hyperline objects How this pairing syncs
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. Billable events Metered consumption events ingested to drive usage-based charges. Local secondary indexes (LSIs) is specific to Amazon DynamoDB and Billable events to Hyperline — 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. Credit notes Adjustments and refunds synced for accurate revenue reporting. DynamoDB Streams is specific to Amazon DynamoDB and Credit notes to Hyperline — each maps to any object or custom field on the other side.
Global Tables Multi-region, active-active replicas of a table kept in sync by DynamoDB; each region is read and written locally with last-writer-wins conflict resolution. Customers Billing accounts that syncs match against CRM and product records. Global Tables is specific to Amazon DynamoDB and Customers to Hyperline — each maps to any object or custom field on the other side.
Time to Live (TTL) Per-item expiry timestamps; DynamoDB deletes expired items in the background and emits a Streams REMOVE record for each deletion. Subscriptions Active plans and their lifecycle state, synced to show billing status elsewhere. Time to Live (TTL) is specific to Amazon DynamoDB and Subscriptions to Hyperline — 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. Products / prices The catalog of products and price configurations referenced by subscriptions. Tables is specific to Amazon DynamoDB and Products / prices to Hyperline — 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. Invoices Issued billing documents synced into accounting and reporting systems. Items is specific to Amazon DynamoDB and Invoices to Hyperline — each maps to any object or custom field on the other side.

How changes propagate between Amazon DynamoDB and Hyperline

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 Hyperline 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 Hyperline through its API, with automatic retries and rate-limit backoff.

Hyperline Amazon DynamoDB Sub-second propagation

DetectionHyperline notifies Stacksync of record changes through webhook events. Webhooks for billing events, with polling as a fallback.

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.
  • Hyperline: Subject to the platform's API rate limits.
What ships with Amazon DynamoDB ⇄ Hyperline

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon DynamoDB or Hyperline 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 Hyperline record.

Observability

Monitoring

Track your Amazon DynamoDB ⇄ Hyperline 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 Hyperline.

How the Amazon DynamoDB and Hyperline 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.

Hyperline

Integration surface
REST API
Authentication
API key (bearer token)
Change detection
Webhooks for billing events, with polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits.
How it works

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

    Choose tables

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

Amazon DynamoDB and Hyperline integration FAQ

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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 443 integrations available for Amazon DynamoDB and Hyperline.

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