Real-time
Two-way sync
Changes in OpenSearch or Recurly instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Accounting and finance
OpenSearch to Recurly integration — real-time, two-way sync
Keep OpenSearch 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 OpenSearch and Recurly
Work with Recurly's financial data straight from OpenSearch: read it with ordinary queries, write to it from your own code, and let Stacksync keep both sides consistent.
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 Data streams, Snapshots, Indexes, Documents in OpenSearch and keeps the two in sync bi-directionally and in real time. Your services read finance records with normal queries against OpenSearch, and rows your code writes or updates flow back into Recurly with validation, so the finance system stays the system of record.
Common use cases
- 01 Trigger revenue-recognition or ERP entries when new_subscription and canceled_subscription webhooks fire.
- 02 Post usage records to Measured Units on metered Subscriptions from a metering database before each bill run.
- 03 Stream CRM records such as accounts, contacts, and tickets into OpenSearch to power internal search across customer data.
- 04 Sync product catalogs from an ERP or database into the indexes that back storefront search.
Common sync patterns
Write back safely
Updates written to the synced tables in OpenSearch propagate into Recurly, so automations can create or correct finance records without custom integration code.
React to financial events
Changes in Recurly appear in OpenSearch as row changes, so you can trigger downstream logic with the database tooling you already use.
Query finance data like any other data
Customers, invoices, and payments from Recurly live in OpenSearch as regular tables or collections your team can join, index, and query.
What you can sync between OpenSearch 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.
| OpenSearch objects | Recurly objects | How this pairing syncs | |
|---|---|---|---|
| Index templates Mapping and settings presets applied to new indexes a sync creates | Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. | Index templates is specific to OpenSearch and Invoices to Recurly — each maps to any object or custom field on the other side. | |
| Ingest pipelines Server-side processors that transform documents as they are written | Transactions Individual payment attempts — captures, refunds, and voids; typically read into a warehouse for reconciliation and dunning analysis. | Ingest pipelines is specific to OpenSearch and Transactions to Recurly — each maps to any object or custom field on the other side. | |
| Data streams Append-oriented time-series storage for logs and events pushed from source systems | Line Items One-time charges and credits on an account outside a subscription; synced for accurate revenue and adjustment reporting. | Data streams is specific to OpenSearch and Line Items to Recurly — each maps to any object or custom field on the other side. | |
| Snapshots Backup artifacts, relevant when reseeding an index from a repository | Coupons and Redemptions Discount definitions and their application to accounts and subscriptions; read for discount and promotion analysis. | Snapshots is specific to OpenSearch and Coupons and Redemptions to Recurly — each maps to any object or custom field on the other side. | |
| Indexes The core container; synced records land in indexes with defined mappings | 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). | Indexes is specific to OpenSearch and Billing Info to Recurly — each maps to any object or custom field on the other side. | |
| Documents JSON records written via the index and bulk APIs and read via search queries | Measured Units and Usage Metered-billing units; usage records are posted to a subscription before each bill run for consumption-based pricing. | Documents is specific to OpenSearch and Measured Units and Usage to Recurly — each maps to any object or custom field on the other side. |
How changes propagate between OpenSearch 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.
OpenSearch Recurly Interval-based propagation
DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.
DeliveryEach detected change is written to Recurly through its API, with automatic retries and rate-limit backoff.
Recurly OpenSearch 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 written to OpenSearch through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
- 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 OpenSearch ⇄ Recurly
Connect OpenSearch and Recurly for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every OpenSearch–Recurly connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever OpenSearch 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 OpenSearch or Recurly record.
Observability
Monitoring
Track your OpenSearch ⇄ Recurly sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between OpenSearch and Recurly.
How the OpenSearch and Recurly connectors work
OpenSearch
- Integration surface
- REST API over HTTP(S) with JSON payloads
- Authentication
- basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
- Change detection
- no native change feed; reads rely on queries with scroll or point-in-time polling
- Capabilities
- read · write
- Rate limits
- throughput bounded by cluster sizing rather than fixed API quotas
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 OpenSearch 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.
- 01
Connect your apps
Authenticate OpenSearch 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.
OpenSearch
connected
Recurly
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the OpenSearch 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.
objects · OpenSearch ⇄ RecurlyCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
OpenSearch RecurlyCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
OpenSearch and Recurly integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between OpenSearch and Recurly: authenticate both systems, choose the objects to sync (such as OpenSearch's Index templates and Ingest pipelines), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both OpenSearch and Recurly. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on OpenSearch: No native change feed; reads rely on queries with scroll or point-in-time polling. On Recurly: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Recurly side: Measured Units and Usage, Accounts, Subscriptions, Plans, plus custom fields where Recurly exposes them. On the OpenSearch side: Data streams, Snapshots, Indexes, Documents. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for OpenSearch and Recurly: Write back safely; React to financial events; Query finance data like any other data. Updates written to the synced tables in OpenSearch propagate into Recurly, so automations can create or correct finance records without custom integration code.
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.
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:
Related integrations
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