Two-way sync
Changes in AWS Aurora MySQL or Bill instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL 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 Stored procedures and triggers, Databases (schemas), Tables, Rows in AWS Aurora MySQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against AWS Aurora MySQL, 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 AWS Aurora MySQL as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Bill live in AWS Aurora MySQL as regular tables or collections your team can join, index, and query.
Build dashboards and back-office tools directly on AWS Aurora MySQL; 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.
| AWS Aurora MySQL objects | Bill objects | How this pairing syncs | |
|---|---|---|---|
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | 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. | Columns is specific to AWS Aurora MySQL and Vendors to Bill — each maps to any object or custom field on the other side. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Invoices Accounts-receivable invoices sent to customers; created and read via /v3/invoices to keep billing status aligned with the ERP or CRM. | Primary keys and indexes is specific to AWS Aurora MySQL and Invoices to Bill — each maps to any object or custom field on the other side. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Customers AR customer master records; mapped to customer/account records in a CRM or ERP so finance and sales share one view. | Views is specific to AWS Aurora MySQL and Customers to Bill — each maps to any object or custom field on the other side. | |
| Foreign keys Express relationships that syncs preserve when mapping to related objects elsewhere. | Payments Outgoing vendor payments and received customer payments; read for reconciliation and created to schedule bill pay. | Foreign keys is specific to AWS Aurora MySQL and Payments to Bill — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Existing database logic keeps firing on rows written by a sync. | Chart of Accounts GL accounts used to code bills and invoices; typically mastered in the accounting system and written into BILL for consistent coding. | Stored procedures and triggers is specific to AWS Aurora MySQL and Chart of Accounts to Bill — each maps to any object or custom field on the other side. | |
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Bank Accounts Funding and deposit accounts; read to reconcile payments and posted transactions against the ledger. | Databases (schemas) is specific to AWS Aurora MySQL 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 AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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 MySQL 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 MySQL–Bill connection.
Changes in AWS Aurora MySQL or Bill instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL 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 MySQL or Bill record.
Track your AWS Aurora MySQL ⇄ Bill sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL 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 MySQL 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 MySQL 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 MySQL and Bill: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Columns and Primary keys and indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and Bill connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–Bill integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Bill. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. On Bill: Webhook event subscriptions (POST /v3/subscriptions) for bills, vendors, payments, invoices, and bank accounts, with polling on createdTime/updatedTime list filters as the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Bill side: Invoices, Customers, Payments, Chart of Accounts, plus custom fields where Bill exposes them. On the AWS Aurora MySQL side: Stored procedures and triggers, Databases (schemas), Tables, Rows. 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.
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.
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Every pair below is a real-time, two-way sync. Search all 444 integrations available for AWS Aurora MySQL and Bill.