Two-way sync
Changes in AWS Aurora PostgreSQL or Hyperline instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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 Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications in AWS Aurora PostgreSQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against AWS Aurora PostgreSQL, and rows your code writes or updates flow back into Hyperline with validation, so the finance system stays the system of record.
Updates written to the synced tables in AWS Aurora PostgreSQL propagate into Hyperline, so automations can create or correct finance records without custom integration code.
Changes in Hyperline appear in AWS Aurora PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Hyperline live in AWS Aurora PostgreSQL as regular tables or collections your team can join, index, and query.
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.
| AWS Aurora PostgreSQL objects | Hyperline objects | |
|---|---|---|
| Tables The core sync unit; rows are matched across systems by primary key. | Customers Billing accounts that syncs match against CRM and product records. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Subscriptions Active plans and their lifecycle state, synced to show billing status elsewhere. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Products / prices The catalog of products and price configurations referenced by subscriptions. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Invoices Issued billing documents synced into accounting and reporting systems. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Payments Settlement records used to reconcile revenue against invoices. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Billable events Metered consumption events ingested to drive usage-based charges. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Hyperline connection.
Changes in AWS Aurora PostgreSQL or Hyperline instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL or Hyperline record.
Track your AWS Aurora PostgreSQL ⇄ Hyperline sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL 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 AWS Aurora PostgreSQL and Hyperline: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Tables and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for AWS Aurora PostgreSQL and Hyperline: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in AWS Aurora PostgreSQL propagate into Hyperline, so automations can create or correct finance records without custom integration code.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Hyperline: REST API. Authentication: API key (bearer token). Stacksync manages authentication, retries, and rate limits on both sides.
Hyperline: As a billing system of record, most integrations treat it as the source for invoice and payment data while writing usage in. AWS Aurora PostgreSQL: PostgreSQL compatibility means JSONB, arrays, and custom types survive intact when syncing between Aurora and other Postgres-compatible stores. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Hyperline 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 AWS Aurora PostgreSQL and Hyperline records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Hyperline connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Hyperline integration in-house.
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 AWS Aurora PostgreSQL and Hyperline.