Two-way sync
Changes in AWS Aurora PostgreSQL or Bill instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Bill 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 Bills, Vendors, Invoices, Customers from Bill into Columns, Primary keys and constraints, Views and materialized views, Foreign keys 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 Bill with validation, so the finance system stays the system of record.
Build dashboards and back-office tools directly on AWS Aurora PostgreSQL; Stacksync handles the API calls, rate limits, and retries against Bill.
Updates written to the synced tables in AWS Aurora PostgreSQL propagate into Bill, so automations can create or correct finance records without custom integration code.
Changes in Bill appear in AWS Aurora PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.
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 | Bill objects | How this pairing syncs | |
|---|---|---|---|
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Customers AR customer master records; mapped to customer/account records in a CRM or ERP so finance and sales share one view. | Foreign keys is specific to AWS Aurora PostgreSQL and Customers to Bill — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Payments Outgoing vendor payments and received customer payments; read for reconciliation and created to schedule bill pay. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Payments to Bill — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Chart of Accounts GL accounts used to code bills and invoices; typically mastered in the accounting system and written into BILL for consistent coding. | Databases and schemas is specific to AWS Aurora PostgreSQL and Chart of Accounts to Bill — each maps to any object or custom field on the other side. | |
| Tables The core sync unit; rows are matched across systems by primary key. | Bank Accounts Funding and deposit accounts; read to reconcile payments and posted transactions against the ledger. | Tables is specific to AWS Aurora PostgreSQL and Bank Accounts to Bill — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted in both directions during bi-directional syncs. | Vendor Credits and Credit Memos AP and AR adjustments applied against bills and invoices; synced so balances stay accurate on both sides. | Rows is specific to AWS Aurora PostgreSQL and Vendor Credits and Credit Memos to Bill — each maps to any object or custom field on the other side. | |
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Bills Accounts-payable amounts owed to vendors, with bill line items; read and created via /v3/bills and pulled incrementally by filtering on createdTime/updatedTime. | Columns is specific to AWS Aurora PostgreSQL and Bills to Bill — each maps to any object or custom field on the other side. |
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.
DetectionChanges in AWS Aurora PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback.
DeliveryEach detected change is written to Bill through its API, with automatic retries and rate-limit backoff.
DetectionBill notifies Stacksync of record changes through webhook events. Webhook event subscriptions (POST /v3/subscriptions) for bills, vendors, payments, invoices, and bank accounts, with polling on.
DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Bill connection.
Changes in AWS Aurora PostgreSQL or Bill instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Bill 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 Bill record.
Track your AWS Aurora PostgreSQL ⇄ Bill sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Bill.
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 Bill 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 Bill 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 Bill: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Foreign keys and Replication slots and publications), map fields visually, and changes propagate both ways in milliseconds — no code required.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Bill: REST/JSON (BILL v3 Connect API). Authentication: Session-based: POST /v3/login with username, password, organizationId, and a developer key (devKey) returns a sessionId that is passed with the devKey as headers on every subsequent call; OAuth is available for partner/embedded apps. Stacksync manages authentication, retries, and rate limits on both sides.
Bill: Rate limits are enforced per developer key: 20,000 requests per hour, login capped at 200 per hour, and a maximum of 3 concurrent requests per developer key per organization. AWS Aurora PostgreSQL: Logical replication uses publications and replication slots, so CDC reads changes from the write-ahead log without polling production tables. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Bill 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 Bill 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 Bill connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Bill integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora PostgreSQL and Bill. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 446 integrations available for AWS Aurora PostgreSQL and Bill.