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Data warehouse ⇄ Accounting and finance

Apache Druid to Recurly integration — real-time, two-way sync

Keep Apache Druid 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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Why teams connect Apache Druid and Recurly

Land the financial records from Recurly in Apache Druid 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 Plans, Invoices, Transactions, Line Items from Recurly into tables in Apache Druid in real time, and the connection works in both directions: values computed in Apache Druid 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 Post usage records to Measured Units on metered Subscriptions from a metering database before each bill run.
  • 02 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.
  • 03 Expose product telemetry stored in Druid to business tools without granting direct cluster access.
  • 04 Query aggregated event metrics from Druid and sync them into CRM account fields for usage-based selling.

Common sync patterns

Queryable history for audit and reconciliation

A continuously synced copy in Apache Druid gives you a durable, queryable record of financial data for month-end and audit questions.

Finance analytics without ETL

Invoices, payments, and customer records from Recurly arrive in Apache Druid 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 Apache Druid for reporting the finance system cannot do alone.

What you can sync between Apache Druid 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.

Apache Druid objects Recurly objects How this pairing syncs
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Plans The product and pricing catalog (plan codes, intervals, add-ons); usually mastered in Recurly and read out, or mirrored from a product database. Segments is specific to Apache Druid and Plans to Recurly — each maps to any object or custom field on the other side.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. Dimensions is specific to Apache Druid and Invoices to Recurly — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Transactions Individual payment attempts — captures, refunds, and voids; typically read into a warehouse for reconciliation and dunning analysis. Metrics is specific to Apache Druid and Transactions to Recurly — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Line Items One-time charges and credits on an account outside a subscription; synced for accurate revenue and adjustment reporting. Ingestion Supervisors is specific to Apache Druid and Line Items to Recurly — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Coupons and Redemptions Discount definitions and their application to accounts and subscriptions; read for discount and promotion analysis. Lookups is specific to Apache Druid and Coupons and Redemptions to Recurly — each maps to any object or custom field on the other side.
Tasks Batch ingestion and compaction jobs monitored during data loads. 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). Tasks is specific to Apache Druid and Billing Info to Recurly — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid 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.

Apache Druid Recurly Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

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

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

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • 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 Apache Druid ⇄ Recurly

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Recurly record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Druid and Recurly connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Recurly connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Apache Druid and Recurly integration FAQ

SECURITY

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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.

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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 435 integrations available for Apache Druid and Recurly.

Popular · 6 of 435
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