Two-way sync
Changes in AWS Aurora PostgreSQL or Rillet instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Rillet 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 Account, Customer, Vendor, Invoice from Rillet 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 Rillet with validation, so the finance system stays the system of record.
Updates written to the synced tables in AWS Aurora PostgreSQL propagate into Rillet, so automations can create or correct finance records without custom integration code.
Changes in Rillet 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 Rillet 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 | Rillet objects | |
|---|---|---|
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Account Synced with incremental and full sync per the Stacksync docs. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Customer Synced with incremental and full sync per the Stacksync docs. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Vendor Synced with incremental and full sync per the Stacksync docs. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Invoice Synced with incremental and full sync per the Stacksync docs. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Credit Memo Synced with incremental and full sync per the Stacksync docs. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Bill Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Rillet connection.
Changes in AWS Aurora PostgreSQL or Rillet instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Rillet 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 Rillet record.
Track your AWS Aurora PostgreSQL ⇄ Rillet sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Rillet.
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 Rillet 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 Rillet 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 Rillet: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Columns and Primary keys and constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Rillet. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback. On Rillet: Near real-time updates via change tracking; incremental sync per object, with delete detection (some objects checked every 1h or 4h). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Rillet side: Account, Customer, Vendor, Invoice, plus custom fields where Rillet exposes them. On the AWS Aurora PostgreSQL side: Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications. 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 AWS Aurora PostgreSQL and Rillet: 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 Rillet, so automations can create or correct finance records without custom integration code.
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 Rillet.