Two-way sync
Changes in Amazon Aurora or Hyperline instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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.
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 Products / prices, Invoices, Payments, Billable events from Hyperline into Read Replicas, Databases, Schemas, Tables in Amazon Aurora and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Amazon Aurora, and rows your code writes or updates flow back into Hyperline with validation, so the finance system stays the system of record.
Changes in Hyperline appear in Amazon Aurora as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Hyperline live in Amazon Aurora as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on Amazon Aurora; Stacksync handles the API calls, rate limits, and retries against 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 Aurora objects | Hyperline objects | |
|---|---|---|
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Products / prices The catalog of products and price configurations referenced by subscriptions. | |
| Databases Logical databases within a cluster that scope a sync connection. | Invoices Issued billing documents synced into accounting and reporting systems. | |
| Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. | Payments Settlement records used to reconcile revenue against invoices. | |
| Tables Relational tables synced bi-directionally at row level. | Billable events Metered consumption events ingested to drive usage-based charges. | |
| Views Read-only query-backed sources for downstream syncs. | Credit notes Adjustments and refunds synced for accurate revenue reporting. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Customers Billing accounts that syncs match against CRM and product records. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Hyperline connection.
Changes in Amazon Aurora or Hyperline instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora or Hyperline data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon Aurora or Hyperline record.
Track your Amazon Aurora ⇄ Hyperline sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora and Hyperline.
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 Amazon Aurora 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.
Pick the Amazon Aurora 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.
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 Amazon Aurora and Hyperline: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Read Replicas and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Amazon Aurora: Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback. On Hyperline: Webhooks for billing events, with polling as a fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Hyperline side: Products / prices, Invoices, Payments, Billable events, plus custom fields where Hyperline exposes them. On the Amazon Aurora side: Read Replicas, Databases, Schemas, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Amazon Aurora and Hyperline: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Hyperline appear in Amazon Aurora as row changes, so you can trigger downstream logic with the database tooling you already use.
Amazon Aurora: MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS. Authentication: Database credentials or IAM database authentication. Hyperline: REST API. Authentication: API key (bearer token). Stacksync manages authentication, retries, and rate limits on both sides.
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 Amazon Aurora and Hyperline.