Two-way sync
Changes in Recurly or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Build dashboards and back-office tools directly on TimescaleDB; Stacksync handles the API calls, rate limits, and retries against Recurly.
Updates written to the synced tables in TimescaleDB propagate into Recurly, so automations can create or correct finance records without custom integration code.
Changes in Recurly appear in TimescaleDB as row changes, so you can trigger downstream logic with the database tooling you already use.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Recurly–TimescaleDB connection.
Changes in Recurly or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Recurly or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Recurly or TimescaleDB record.
Track your Recurly ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Recurly and TimescaleDB.
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 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.
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.
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 Recurly and TimescaleDB: authenticate both systems, choose the objects to sync (such as Recurly's Invoices and Transactions), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Recurly and TimescaleDB: Internal tools without API plumbing; Write back safely; React to financial events. Build dashboards and back-office tools directly on TimescaleDB; Stacksync handles the API calls, rate limits, and retries against Recurly.
Recurly: 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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Recurly: Rate limits default to 1,000 requests/min on production (only GET requests count) and 400/min on sandbox (all requests count), measured over a sliding 5-minute window; breaches return HTTP 429. TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Stacksync's field mapping accounts for these differences between Recurly and TimescaleDB without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Recurly and TimescaleDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Recurly and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Recurly–TimescaleDB integration in-house.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 424 integrations available for Recurly and TimescaleDB.