Real-time
Two-way sync
Changes in PostgreSQL or Recurly instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Accounting and finance
PostgreSQL to Recurly integration — real-time, two-way sync
Keep 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 PostgreSQL and Recurly
Work with Recurly's financial data straight from 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 Subscriptions, Plans, Invoices, Transactions from Recurly into Schemas, Columns, Primary and Unique Keys, JSONB Columns in PostgreSQL and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against 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 Post usage records to Measured Units on metered Subscriptions from a metering database before each bill run.
- 02 Sync Accounts and Subscriptions bi-directionally with Postgres so product and provisioning systems read live entitlement state and write plan or seat changes back to Recurly.
- 03 Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
- 04 Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
Common sync patterns
Write back safely
Updates written to the synced tables in 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 PostgreSQL as row changes, so you can trigger downstream logic with the database tooling you already use.
Query finance data like any other data
Customers, invoices, and payments from Recurly live in PostgreSQL as regular tables or collections your team can join, index, and query.
What you can sync between 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.
| PostgreSQL objects | Recurly objects | How this pairing syncs | |
|---|---|---|---|
| Primary and Unique Keys Used as match keys for idempotent upserts and conflict resolution. | Plans The product and pricing catalog (plan codes, intervals, add-ons); usually mastered in Recurly and read out, or mirrored from a product database. | Primary and Unique Keys is specific to PostgreSQL and Plans to Recurly — each maps to any object or custom field on the other side. | |
| JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. | Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. | JSONB Columns is specific to PostgreSQL and Invoices to Recurly — each maps to any object or custom field on the other side. | |
| Sequences Generate surrogate keys for rows created by inbound syncs. | Transactions Individual payment attempts — captures, refunds, and voids; typically read into a warehouse for reconciliation and dunning analysis. | Sequences is specific to PostgreSQL and Transactions to Recurly — each maps to any object or custom field on the other side. | |
| Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | Line Items One-time charges and credits on an account outside a subscription; synced for accurate revenue and adjustment reporting. | Custom Types and Enums is specific to PostgreSQL and Line Items to Recurly — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | Coupons and Redemptions Discount definitions and their application to accounts and subscriptions; read for discount and promotion analysis. | Tables is specific to PostgreSQL and Coupons and Redemptions to Recurly — each maps to any object or custom field on the other side. | |
| Views Read-side projections used to expose joined or filtered data to a sync. | Billing Info Tokenized payment method (card/ACH) on an account; written when onboarding customers and read for payment-health signals (never stores raw card numbers). | Views is specific to PostgreSQL and Billing Info to Recurly — each maps to any object or custom field on the other side. |
How changes propagate between 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.
PostgreSQL Recurly Sub-second propagation
DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.
DeliveryEach detected change is written to Recurly through its API, with automatic retries and rate-limit backoff.
Recurly 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 PostgreSQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
- 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 PostgreSQL ⇄ Recurly
Connect PostgreSQL and Recurly for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every PostgreSQL–Recurly connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever 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 PostgreSQL or Recurly record.
Observability
Monitoring
Track your 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 PostgreSQL and Recurly.
How the PostgreSQL and Recurly connectors work
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
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 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.
- 01
Connect your apps
Authenticate 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.
PostgreSQL
connected
Recurly
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the 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.
objects · PostgreSQL ⇄ RecurlyCustomers 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.
PostgreSQL RecurlyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
PostgreSQL and Recurly integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between PostgreSQL and Recurly: authenticate both systems, choose the objects to sync (such as PostgreSQL's Primary and Unique Keys and JSONB Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed PostgreSQL and Recurly connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom PostgreSQL–Recurly integration in-house.
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Yes — Stacksync ships production-grade connectors for both PostgreSQL and Recurly. 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 PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. On Recurly: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Recurly side: Subscriptions, Plans, Invoices, Transactions, plus custom fields where Recurly exposes them. On the PostgreSQL side: Schemas, Columns, Primary and Unique Keys, JSONB 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.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
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
Every pair below is a real-time, two-way sync. Search all 540 integrations available for PostgreSQL and Recurly.
Popular · 8 of 540
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PostgreSQL ⇄ Bill -
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PostgreSQL ⇄ Navan -
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Recurly ⇄ Redis Enterprise -
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