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Database ⇄ Accounting and finance

AWS Aurora PostgreSQL to Recurly integration — real-time, two-way sync

Keep AWS Aurora PostgreSQL and Recurly 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 PostgreSQL and Recurly

Work with Recurly's financial data straight from AWS Aurora PostgreSQL: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.

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 Accounts, Subscriptions, Plans, Invoices from Recurly 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 Recurly with validation, so the finance system stays the system of record.

Common use cases

  • 01 Trigger revenue-recognition or ERP entries when new_subscription and canceled_subscription webhooks fire.
  • 02 Post usage records to Measured Units on metered Subscriptions from a metering database before each bill run.
  • 03 Sync JSONB-heavy application data into structured objects in downstream business systems.
  • 04 Keep a customer-facing Aurora database aligned with an internal admin tool, with writes accepted on both sides.

Common sync patterns

Internal tools without API plumbing

Build dashboards and back-office tools directly on AWS Aurora PostgreSQL; Stacksync handles the API calls, rate limits, and retries against Recurly.

Write back safely

Updates written to the synced tables in AWS Aurora PostgreSQL propagate into Recurly, so automations can create or correct finance records without custom integration code.

React to financial events

Changes in Recurly appear in AWS Aurora PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.

What you can sync between AWS Aurora PostgreSQL and Recurly

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 Recurly objects How this pairing syncs
Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. Accounts Customer/billing entity records keyed by account_code; the anchor most subscriptions and invoices hang off. Synced two-way with CRM accounts or a customer database. Primary keys and constraints is specific to AWS Aurora PostgreSQL and Accounts to Recurly — each maps to any object or custom field on the other side.
Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. Subscriptions Recurring subscription records tied to an Account and a Plan, with state, term, and next-bill date. Core object, synced two-way to drive provisioning and reporting. Views and materialized views is specific to AWS Aurora PostgreSQL and Subscriptions to Recurly — each maps to any object or custom field on the other side.
Foreign keys Relationship metadata that syncs can translate into object references elsewhere. Plans The product and pricing catalog (plan codes, intervals, add-ons); usually mastered in Recurly and read out, or mirrored from a product database. Foreign keys is specific to AWS Aurora PostgreSQL and Plans to Recurly — 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. Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. Replication slots and publications is specific to AWS Aurora PostgreSQL and Invoices to Recurly — 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. Transactions Individual payment attempts — captures, refunds, and voids; typically read into a warehouse for reconciliation and dunning analysis. Databases and schemas is specific to AWS Aurora PostgreSQL and Transactions to Recurly — 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. Line Items One-time charges and credits on an account outside a subscription; synced for accurate revenue and adjustment reporting. Tables is specific to AWS Aurora PostgreSQL and Line Items to Recurly — each maps to any object or custom field on the other side.

How changes propagate between AWS Aurora PostgreSQL and Recurly

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 PostgreSQL Recurly Sub-second propagation

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 Recurly through its API, with automatic retries and rate-limit backoff.

Recurly AWS Aurora PostgreSQL Sub-second propagation

DetectionRecurly notifies Stacksync of record changes through webhook events. Webhooks (JSON or XML, one format per endpoint) for account, subscription, payment, and invoice events, plus incremental polling of list endpoints.

DeliveryEach detected change is applied to AWS Aurora PostgreSQL as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Recurly: Production sites default to 1,000 requests/min with only GET requests counting toward the limit; sandbox sites 400/min with all requests counting; the limit is a sliding 5-minute window, X-RateLimit headers report the quota, and breaches return HTTP 429.
What ships with AWS Aurora PostgreSQL ⇄ Recurly

Connect AWS Aurora PostgreSQL and Recurly for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Recurly connection.

Real-time

Two-way sync

Changes in AWS Aurora PostgreSQL or Recurly instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS Aurora PostgreSQL or Recurly 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 PostgreSQL or Recurly record.

Observability

Monitoring

Track your AWS Aurora PostgreSQL ⇄ Recurly 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 PostgreSQL and Recurly.

How the AWS Aurora PostgreSQL and Recurly connectors work

AWS Aurora PostgreSQL

Integration surface
SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC
Authentication
Database credentials, optionally AWS IAM database authentication, over TLS
Change detection
Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling as a fallback
Capabilities
read · write · CDC

Recurly

Integration surface
REST API (V3, date-versioned; legacy V2 XML API also exists)
Authentication
API key via HTTP Basic auth (key as username, blank password); keys are per-site, with separate sandbox and production keys
Change detection
Webhooks (JSON or XML, one format per endpoint) for account, subscription, payment, and invoice events, plus incremental polling of list endpoints sorted by updated_at with begin_time/end_time filters
Capabilities
read · write · webhooks
Rate limits
Production sites default to 1,000 requests/min with only GET requests counting toward the limit; sandbox sites 400/min with all requests counting; the limit is a sliding 5-minute window, X-RateLimit headers report the quota, and breaches return HTTP 429.
How it works

How to connect AWS Aurora PostgreSQL to Recurly — 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.

  1. 01

    Connect your apps

    Authenticate AWS Aurora PostgreSQL and Recurly with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    AWS Aurora PostgreSQL connected
    Recurly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS Aurora PostgreSQL and Recurly 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · AWS Aurora PostgreSQL ⇄ Recurly
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    AWS Aurora PostgreSQL Recurly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS Aurora PostgreSQL and Recurly integration FAQ

SECURITY

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 447 integrations available for AWS Aurora PostgreSQL and Recurly.

Popular · 7 of 447
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