Two-way sync
Changes in DuckDB or Recurly instantly reflect in both systems. No stale data, no manual imports.
Keep DuckDB 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.
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 Measured Units and Usage, Accounts, Subscriptions, Plans from Recurly into Database files, Schemas, Tables, Views in DuckDB and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against DuckDB, and rows your code writes or updates flow back into Recurly with validation, so the finance system stays the system of record.
Updates written to the synced tables in DuckDB propagate into Recurly, so automations can create or correct finance records without custom integration code.
Changes in Recurly appear in DuckDB as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Recurly live in DuckDB as regular tables or collections your team can join, index, and query.
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.
| DuckDB objects | Recurly objects | How this pairing syncs | |
|---|---|---|---|
| Views SQL views used to shape or filter data for downstream consumers. | 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 DuckDB and Billing Info to Recurly — each maps to any object or custom field on the other side. | |
| External files (Parquet/CSV/JSON) Files DuckDB queries in place without loading, common as a sync interchange format. | Measured Units and Usage Metered-billing units; usage records are posted to a subscription before each bill run for consumption-based pricing. | External files (Parquet/CSV/JSON) is specific to DuckDB and Measured Units and Usage to Recurly — each maps to any object or custom field on the other side. | |
| Attached databases Additional database files or external systems attached into one session for cross-source queries. | 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. | Attached databases is specific to DuckDB and Accounts to Recurly — each maps to any object or custom field on the other side. | |
| Database files Single-file .duckdb databases that jobs read and write directly on disk or object storage. | 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. | Database files is specific to DuckDB and Subscriptions to Recurly — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to organize tables in sync outputs. | Plans The product and pricing catalog (plan codes, intervals, add-ons); usually mastered in Recurly and read out, or mirrored from a product database. | Schemas is specific to DuckDB and Plans to Recurly — each maps to any object or custom field on the other side. | |
| Tables Columnar tables created via SQL; the destination for materialized sync data. | Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. | Tables is specific to DuckDB and Invoices to Recurly — 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.
DetectionStacksync polls DuckDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling or full re-reads.
DeliveryEach detected change is written to Recurly through its API, with automatic retries and rate-limit backoff.
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 DuckDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every DuckDB–Recurly connection.
Changes in DuckDB or Recurly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever DuckDB or Recurly data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single DuckDB or Recurly record.
Track your DuckDB ⇄ Recurly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between DuckDB and Recurly.
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 DuckDB 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.
Pick the DuckDB 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.
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 DuckDB and Recurly: authenticate both systems, choose the objects to sync (such as DuckDB's Views and External files (Parquet/CSV/JSON)), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Recurly side: Measured Units and Usage, Accounts, Subscriptions, Plans, plus custom fields where Recurly exposes them. On the DuckDB side: Database files, Schemas, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for DuckDB and Recurly: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in DuckDB propagate into Recurly, so automations can create or correct finance records without custom integration code.
DuckDB: In-process SQL engine via client libraries (Python, Node.js, JDBC, CLI); no server or network API by default. Authentication: None built in; access control is file-system level (MotherDuck adds token auth for its hosted service). 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. Stacksync manages authentication, retries, and rate limits on both sides.
Recurly: List endpoints support incremental pulls via sort=updated_at (or created_at) with begin_time/end_time filters, so polling fetches only records changed since the last run. DuckDB: Concurrency is single-writer: one process holds write access to a database file at a time, which shapes how sync jobs schedule writes. Stacksync's field mapping accounts for these differences between DuckDB and Recurly without custom code.
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 443 integrations available for DuckDB and Recurly.