Real-time
Two-way sync
Changes in AWS Aurora MySQL or Rillet instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Accounting and finance
AWS Aurora MySQL to Rillet integration — real-time, two-way sync
Keep AWS Aurora MySQL 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect AWS Aurora MySQL and Rillet
Work with Rillet's financial data straight from AWS Aurora MySQL: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.
Connecting Rillet to AWS Aurora MySQL puts the accounting system's records — Accounts, Invoices, Bills, and Credit Memos — into database Tables and Rows that engineering and finance teams can query directly. This supports billing automation and reporting without coding against the Rillet API.
Stacksync mirrors Customer, Vendor, Invoice, Credit Memo from Rillet into Databases (schemas), Tables, Rows, Columns 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 Rillet with validation, so the finance system stays the system of record.
Common use cases
- 01 Build revenue dashboards on Aurora Views over synced Rillet Account and Invoice data.
- 02 Automate billing by generating Invoice rows in Aurora from product usage tables.
- 03 Reconcile Bills and Credit Memos against bank and payment data already stored in the database.
- 04 Mirror journal entries and contract revenue data into a warehouse for board and ARR reporting.
Common sync patterns
Invoice generation from usage data
Rows written to Aurora Tables create Invoices in Rillet for usage-based billing.
AR/AP reporting
Rillet Invoice, Bill, and Credit Memo records sync into Aurora for SQL-based aging and reconciliation reports.
Customer and vendor master sync
Customer and Vendor records stay aligned between Rillet and the operational database.
What you can sync between AWS Aurora MySQL and Rillet
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 | Rillet objects | How this pairing syncs | |
|---|---|---|---|
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Customer Synced with incremental and full sync per the Stacksync docs. | Primary keys and indexes is specific to AWS Aurora MySQL and Customer to Rillet — 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. | Vendor Synced with incremental and full sync per the Stacksync docs. | Views is specific to AWS Aurora MySQL and Vendor to Rillet — 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. | Invoice Synced with incremental and full sync per the Stacksync docs. | Foreign keys is specific to AWS Aurora MySQL and Invoice to Rillet — 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. | Credit Memo Synced with incremental and full sync per the Stacksync docs. | Stored procedures and triggers is specific to AWS Aurora MySQL and Credit Memo to Rillet — 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. | Bill Synced with incremental and full sync per the Stacksync docs. | Databases (schemas) is specific to AWS Aurora MySQL and Bill to Rillet — each maps to any object or custom field on the other side. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Journal Entry Synced with incremental and full sync per the Stacksync docs. | Tables is specific to AWS Aurora MySQL and Journal Entry to Rillet — each maps to any object or custom field on the other side. |
How changes propagate between AWS Aurora MySQL and Rillet
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.
AWS Aurora MySQL Rillet Sub-second propagation
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 Rillet through its API, with automatic retries and rate-limit backoff.
Rillet AWS Aurora MySQL Sub-second propagation
DetectionRillet pushes changes as they happen — webhook events backed by change data capture. Near real-time updates via change tracking.
DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Rillet: Subject to the platform's API rate limits.
What ships with AWS Aurora MySQL ⇄ Rillet
Connect AWS Aurora MySQL and Rillet for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Rillet connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever AWS Aurora MySQL or Rillet data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single AWS Aurora MySQL or Rillet record.
Observability
Monitoring
Track your AWS Aurora MySQL ⇄ Rillet sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Rillet.
How the AWS Aurora MySQL and Rillet connectors work
AWS Aurora MySQL
- Integration surface
- SQL wire protocol (MySQL-compatible), standard MySQL drivers and JDBC
- Authentication
- Database credentials, optionally AWS IAM database authentication, over TLS
- Change detection
- Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback
- Capabilities
- read · write · CDC
Rillet
- Integration surface
- REST API (OpenAPI-specified, with production and sandbox environments)
- Authentication
- API key generated in Rillet (Organization Setting -> API Access); uncheck Read Only for bidirectional sync, check Read Only for one-way sync
- Change detection
- Near real-time updates via change tracking; incremental sync per object, with delete detection (some objects checked every 1h or 4h)
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- Subject to the platform's API rate limits.
How it works
How to connect AWS Aurora MySQL to Rillet — three steps, no code
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.
- 01
Connect your apps
Authenticate AWS Aurora MySQL 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.
AWS Aurora MySQL
connected
Rillet
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the AWS Aurora MySQL 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.
objects · AWS Aurora MySQL ⇄ RilletCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
AWS Aurora MySQL RilletCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
AWS Aurora MySQL and Rillet integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Rillet: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Primary keys and indexes and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Rillet. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns 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: Customer, Vendor, Invoice, Credit Memo, plus custom fields where Rillet exposes them. On the AWS Aurora MySQL side: Databases (schemas), Tables, Rows, Columns. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for AWS Aurora MySQL and Rillet: Invoice generation from usage data; AR/AP reporting; Customer and vendor master sync. Rows written to Aurora Tables create Invoices in Rillet for usage-based billing.
SECURITY
Security teams trust Stacksync
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.
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SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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AWS Aurora MySQL ⇄ Hyperline -
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Rillet ⇄ Amazon DynamoDB
No integrations match .
