Two-way sync
Changes in Apache Pinot or Recurly instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Pinot 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.
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 Subscriptions, Plans, Invoices, Transactions from Recurly into tables in Apache Pinot in real time, and the connection works in both directions: values computed in Apache Pinot 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.
A continuously synced copy in Apache Pinot gives you a durable, queryable record of financial data for month-end and audit questions.
Invoices, payments, and customer records from Recurly arrive in Apache Pinot as queryable tables, current within seconds instead of a day behind.
Analysts combine Recurly's financial records with product, marketing, or operational data already in Apache Pinot for reporting the finance system cannot do alone.
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 Pinot objects | Recurly objects | How this pairing syncs | |
|---|---|---|---|
| Segments Immutable data files that batch ingestion uploads and the cluster serves. | Coupons and Redemptions Discount definitions and their application to accounts and subscriptions; read for discount and promotion analysis. | Segments is specific to Apache Pinot and Coupons and Redemptions to Recurly — each maps to any object or custom field on the other side. | |
| Real-time Tables Tables fed continuously from streams like Kafka, including upsert-enabled tables. | 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). | Real-time Tables is specific to Apache Pinot and Billing Info to Recurly — each maps to any object or custom field on the other side. | |
| Offline Tables Batch-loaded tables merged with real-time data at query time. | Measured Units and Usage Metered-billing units; usage records are posted to a subscription before each bill run for consumption-based pricing. | Offline Tables is specific to Apache Pinot and Measured Units and Usage to Recurly — each maps to any object or custom field on the other side. | |
| Indexes Inverted, range, and star-tree indexes that determine which sync queries run at low latency. | 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. | Indexes is specific to Apache Pinot and Accounts to Recurly — each maps to any object or custom field on the other side. | |
| Tenants Logical groupings that isolate workloads on shared clusters. | 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. | Tenants is specific to Apache Pinot and Subscriptions to Recurly — each maps to any object or custom field on the other side. | |
| Tables The queryable unit, defined as offline, real-time, or hybrid; the main read target. | Plans The product and pricing catalog (plan codes, intervals, add-ons); usually mastered in Recurly and read out, or mirrored from a product database. | Tables is specific to Apache Pinot and Plans 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 Apache Pinot for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Pinot via streaming ingestion or segment upload, not row-level writes.
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 Apache Pinot as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Pinot–Recurly connection.
Changes in Apache Pinot or Recurly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Pinot 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 Apache Pinot or Recurly record.
Track your Apache Pinot ⇄ Recurly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Pinot 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 Apache Pinot 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 Apache Pinot 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 Apache Pinot and Recurly: authenticate both systems, choose the objects to sync (such as Apache Pinot's Segments and Real-time Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Recurly side: Subscriptions, Plans, Invoices, Transactions, plus custom fields where Recurly exposes them. On the Apache Pinot side: Real-time Tables, Offline Tables, Indexes, Tenants. 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 Apache Pinot and Recurly: Queryable history for audit and reconciliation; Finance analytics without ETL; Revenue joined with everything else. A continuously synced copy in Apache Pinot gives you a durable, queryable record of financial data for month-end and audit questions.
Apache Pinot: REST API (SQL queries via the broker; administration via the controller); JDBC client available. Authentication: Deployment-dependent: HTTP basic authentication or token-based auth where enabled. 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: V3 authenticates with a per-site API key over HTTP Basic auth (key as username, blank password); sandbox and production sites have separate keys. Apache Pinot: Upsert support on real-time tables lets the latest record per primary key win, which suits syncing mutable entities from streams. Stacksync's field mapping accounts for these differences between Apache Pinot 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 432 integrations available for Apache Pinot and Recurly.