Two-way sync
Changes in Citus or Recurly instantly reflect in both systems. No stale data, no manual imports.
Keep Citus 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 Transactions, Line Items, Coupons and Redemptions, Billing Info from Recurly into Local tables, Schemas, Views, Sequences in Citus and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against Citus, 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 Citus propagate into Recurly, so automations can create or correct finance records without custom integration code.
Changes in Recurly appear in Citus as row changes, so you can trigger downstream logic with the database tooling you already use.
Customers, invoices, and payments from Recurly live in Citus 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.
| Citus objects | Recurly objects | How this pairing syncs | |
|---|---|---|---|
| Sequences Key generators that matter when external writes must not collide with application inserts. | Measured Units and Usage Metered-billing units; usage records are posted to a subscription before each bill run for consumption-based pricing. | Sequences is specific to Citus and Measured Units and Usage to Recurly — each maps to any object or custom field on the other side. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | 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. | Distributed tables is specific to Citus and Accounts to Recurly — each maps to any object or custom field on the other side. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | 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. | Reference tables is specific to Citus and Subscriptions to Recurly — each maps to any object or custom field on the other side. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Plans The product and pricing catalog (plan codes, intervals, add-ons); usually mastered in Recurly and read out, or mirrored from a product database. | Local tables is specific to Citus and Plans to Recurly — each maps to any object or custom field on the other side. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. | Schemas is specific to Citus and Invoices to Recurly — each maps to any object or custom field on the other side. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Transactions Individual payment attempts — captures, refunds, and voids; typically read into a warehouse for reconciliation and dunning analysis. | Views is specific to Citus and Transactions 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.
DetectionChanges in Citus are captured at the source via change data capture — no polling loop against its API. PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres.
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 Citus as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Recurly connection.
Changes in Citus or Recurly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus 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 Citus or Recurly record.
Track your Citus ⇄ Recurly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus 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 Citus 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 Citus 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 Citus and Recurly: authenticate both systems, choose the objects to sync (such as Citus's Sequences and Distributed tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Citus and Recurly: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in Citus propagate into Recurly, so automations can create or correct finance records without custom integration code.
Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). 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: Records carry both opaque IDs and human-readable codes (account_code, plan_code); lookups can use either, which helps map to external keys. Citus: Distributed tables are sharded by a declared distribution column, and reference tables are fully replicated to all nodes; the table type changes how writes and joins behave. Stacksync's field mapping accounts for these differences between Citus and Recurly 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 Citus and Recurly records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Citus and Recurly connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Recurly 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 427 integrations available for Citus and Recurly.