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Data warehouse ⇄ Accounting and finance

Cloudera Data Platform to Recurly integration — real-time, two-way sync

Keep Cloudera Data Platform 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 Cloudera Data Platform and Recurly

Land the financial records from Recurly in Cloudera Data Platform continuously, and write results back, without building or maintaining a pipeline.

Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.

Stacksync syncs Accounts, Subscriptions, Plans, Invoices from Recurly into tables in Cloudera Data Platform in real time, and the connection works in both directions: values computed in Cloudera Data Platform can be written back to fields in Recurly where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.

Common use cases

  • 01 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.
  • 02 Trigger revenue-recognition or ERP entries when new_subscription and canceled_subscription webhooks fire.
  • 03 Sync curated CDP tables into an operational Postgres so applications query a low-latency copy instead of hitting the cluster.
  • 04 Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.

Common sync patterns

Finance analytics without ETL

Invoices, payments, and customer records from Recurly arrive in Cloudera Data Platform as queryable tables, current within seconds instead of a day behind.

Revenue joined with everything else

Analysts combine Recurly's financial records with product, marketing, or operational data already in Cloudera Data Platform for reporting the finance system cannot do alone.

Write-back of computed fields

Scores or segments computed in Cloudera Data Platform, like payment-risk flags or customer tiers, sync back onto records in Recurly where the finance team can act on them.

What you can sync between Cloudera Data Platform 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.

Cloudera Data Platform objects Recurly objects How this pairing syncs
Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. 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. Databases is specific to Cloudera Data Platform and Accounts to Recurly — each maps to any object or custom field on the other side.
Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. 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. Hive tables is specific to Cloudera Data Platform and Subscriptions to Recurly — each maps to any object or custom field on the other side.
Impala tables The same metastore tables served through Impala for lower-latency SQL reads. Plans The product and pricing catalog (plan codes, intervals, add-ons); usually mastered in Recurly and read out, or mirrored from a product database. Impala tables is specific to Cloudera Data Platform and Plans to Recurly — each maps to any object or custom field on the other side.
Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. Kudu tables is specific to Cloudera Data Platform and Invoices to Recurly — each maps to any object or custom field on the other side.
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Transactions Individual payment attempts — captures, refunds, and voids; typically read into a warehouse for reconciliation and dunning analysis. Iceberg tables is specific to Cloudera Data Platform and Transactions to Recurly — each maps to any object or custom field on the other side.
Views SQL views that can present curated, sync-ready projections of raw lake data. Line Items One-time charges and credits on an account outside a subscription; synced for accurate revenue and adjustment reporting. Views is specific to Cloudera Data Platform and Line Items to Recurly — each maps to any object or custom field on the other side.

How changes propagate between Cloudera Data Platform 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.

Cloudera Data Platform Recurly Interval-based propagation

DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.

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

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

Rate-limit considerations

  • Cloudera Data Platform: Constrained by cluster capacity and admission control rather than API rate limits.
  • 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 Cloudera Data Platform ⇄ Recurly

Connect Cloudera Data Platform and Recurly for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Recurly record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Recurly.

How the Cloudera Data Platform and Recurly connectors work

Cloudera Data Platform

Integration surface
JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs
Authentication
Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control rather than API rate limits

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 Cloudera Data Platform 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.

  1. 01

    Connect your apps

    Authenticate Cloudera Data Platform 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Cloudera Data Platform connected
    Recurly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Cloudera Data Platform ⇄ Recurly
    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
    Cloudera Data Platform Recurly
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Cloudera Data Platform and Recurly 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 431 integrations available for Cloudera Data Platform and Recurly.

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