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Accounting and finance ⇄ Database

Recurly to TimescaleDB integration — real-time, two-way sync

Keep Recurly and TimescaleDB 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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  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Recurly and TimescaleDB

Work with Recurly's financial data straight from TimescaleDB: 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 Continuous Aggregates, Regular PostgreSQL Tables, Views, Schemas in TimescaleDB and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against TimescaleDB, 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 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
  • 04 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.

Common sync patterns

Internal tools without API plumbing

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

Write back safely

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

React to financial events

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

What you can sync between Recurly and TimescaleDB

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.

Recurly objects TimescaleDB objects How this pairing syncs
Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. Invoices is specific to Recurly and Hypertables to TimescaleDB — each maps to any object or custom field on the other side.
Transactions Individual payment attempts — captures, refunds, and voids; typically read into a warehouse for reconciliation and dunning analysis. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. Transactions is specific to Recurly and Chunks to TimescaleDB — each maps to any object or custom field on the other side.
Line Items One-time charges and credits on an account outside a subscription; synced for accurate revenue and adjustment reporting. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. Line Items is specific to Recurly and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side.
Coupons and Redemptions Discount definitions and their application to accounts and subscriptions; read for discount and promotion analysis. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. Coupons and Redemptions is specific to Recurly and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side.
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 Standard SQL views used to shape or filter data for consumers. Billing Info is specific to Recurly and Views to TimescaleDB — each maps to any object or custom field on the other side.
Measured Units and Usage Metered-billing units; usage records are posted to a subscription before each bill run for consumption-based pricing. Schemas Postgres namespaces used to separate synced datasets by team or environment. Measured Units and Usage is specific to Recurly and Schemas to TimescaleDB — each maps to any object or custom field on the other side.

How changes propagate between Recurly and TimescaleDB

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.

Recurly TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.

TimescaleDB Recurly Sub-second propagation

DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.

DeliveryEach detected change is written to Recurly through its API, with automatic retries and rate-limit backoff.

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.
  • TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Recurly ⇄ TimescaleDB

Connect Recurly and TimescaleDB for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Recurly or TimescaleDB 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 Recurly or TimescaleDB record.

Observability

Monitoring

Track your Recurly ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Recurly and TimescaleDB.

How the Recurly and TimescaleDB connectors work

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.

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

How to connect Recurly to TimescaleDB — 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 Recurly and TimescaleDB 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
    Recurly connected
    TimescaleDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Recurly and TimescaleDB 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 · Recurly ⇄ TimescaleDB
    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
    Recurly TimescaleDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Recurly and TimescaleDB integration FAQ

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 424 integrations available for Recurly and TimescaleDB.

Popular · 7 of 424
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