Two-way sync
Changes in Amazon Aurora or Bill instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Aurora 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 Invoices, Customers, Payments, Chart of Accounts from Bill into Primary and Foreign Keys, Read Replicas, Databases, Schemas 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 Bill with validation, so the finance system stays the system of record.
Changes in Bill 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 Bill 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 Bill.
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 | Bill objects | How this pairing syncs | |
|---|---|---|---|
| Views Read-only query-backed sources for downstream syncs. | Vendors Payee master records; synced two-way with vendor/supplier tables in an ERP or accounting system so new payees don't have to be re-keyed. | Views is specific to Amazon Aurora and Vendors to Bill — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. | Invoices Accounts-receivable invoices sent to customers; created and read via /v3/invoices to keep billing status aligned with the ERP or CRM. | Materialized Views is specific to Amazon Aurora and Invoices to Bill — each maps to any object or custom field on the other side. | |
| Columns and Data Types Standard MySQL or PostgreSQL types mapped during field mapping. | Customers AR customer master records; mapped to customer/account records in a CRM or ERP so finance and sales share one view. | Columns and Data Types is specific to Amazon Aurora and Customers to Bill — each maps to any object or custom field on the other side. | |
| Primary and Foreign Keys Constraints used to identify records and preserve relational integrity in syncs. | Payments Outgoing vendor payments and received customer payments; read for reconciliation and created to schedule bill pay. | Primary and Foreign Keys is specific to Amazon Aurora and Payments to Bill — each maps to any object or custom field on the other side. | |
| Read Replicas Reader endpoints that syncs can target to keep load off the writer. | Chart of Accounts GL accounts used to code bills and invoices; typically mastered in the accounting system and written into BILL for consistent coding. | Read Replicas is specific to Amazon Aurora and Chart of Accounts to Bill — each maps to any object or custom field on the other side. | |
| Databases Logical databases within a cluster that scope a sync connection. | Bank Accounts Funding and deposit accounts; read to reconcile payments and posted transactions against the ledger. | Databases is specific to Amazon Aurora and Bank Accounts 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 Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.
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 Amazon Aurora as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Aurora–Bill connection.
Changes in Amazon Aurora or Bill instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Aurora 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 Amazon Aurora or Bill record.
Track your Amazon Aurora ⇄ Bill sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora 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 Amazon Aurora and Bill: authenticate both systems, choose the objects to sync (such as Amazon Aurora's Views and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Bill side: Invoices, Customers, Payments, Chart of Accounts, plus custom fields where Bill exposes them. On the Amazon Aurora side: Primary and Foreign Keys, Read Replicas, Databases, Schemas. 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 Bill: React to financial events; Query finance data like any other data; Internal tools without API plumbing. Changes in Bill 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. 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: The v3 Connect API is REST/JSON; direct integrations authenticate with a session from POST /v3/login using a developer key, organization ID, username, and password, and the sessionId is scoped to that devKey. Amazon Aurora: Aurora separates compute from a shared distributed storage layer that keeps six copies of data across three Availability Zones. Stacksync's field mapping accounts for these differences between Amazon Aurora and Bill without custom 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 428 integrations available for Amazon Aurora and Bill.