Two-way sync
Changes in Amazon Redshift or Recurly instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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 Invoices, Transactions, Line Items, Coupons and Redemptions from Recurly into tables in Amazon Redshift in real time, and the connection works in both directions: values computed in Amazon Redshift 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.
Scores or segments computed in Amazon Redshift, like payment-risk flags or customer tiers, sync back onto records in Recurly where the finance team can act on them.
A continuously synced copy in Amazon Redshift gives you a durable, queryable record of financial data for month-end and audit questions.
Invoices, payments, and customer records from Recurly arrive in Amazon Redshift as queryable tables, current within seconds instead of a day behind.
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.
| Amazon Redshift objects | Recurly objects | How this pairing syncs | |
|---|---|---|---|
| Users and Groups Principals used to grant a sync connection scoped access. | Invoices Charge and credit billing documents; read-heavy for revenue reporting, and creatable through Purchases for one-off charges. | Users and Groups is specific to Amazon Redshift and Invoices to Recurly — each maps to any object or custom field on the other side. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Transactions Individual payment attempts — captures, refunds, and voids; typically read into a warehouse for reconciliation and dunning analysis. | Databases is specific to Amazon Redshift and Transactions to Recurly — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used to organize synced tables and control grants. | Line Items One-time charges and credits on an account outside a subscription; synced for accurate revenue and adjustment reporting. | Schemas is specific to Amazon Redshift and Line Items to Recurly — each maps to any object or custom field on the other side. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Coupons and Redemptions Discount definitions and their application to accounts and subscriptions; read for discount and promotion analysis. | Tables is specific to Amazon Redshift and Coupons and Redemptions to Recurly — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse syncs. | 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). | Views is specific to Amazon Redshift and Billing Info to Recurly — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | Measured Units and Usage Metered-billing units; usage records are posted to a subscription before each bill run for consumption-based pricing. | Materialized Views is specific to Amazon Redshift and Measured Units and Usage 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 Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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 Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–Recurly connection.
Changes in Amazon Redshift or Recurly instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Amazon Redshift or Recurly record.
Track your Amazon Redshift ⇄ Recurly sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift and Recurly: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Users and Groups and Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Amazon Redshift and Recurly: Write-back of computed fields; Queryable history for audit and reconciliation; Finance analytics without ETL. Scores or segments computed in Amazon Redshift, like payment-risk flags or customer tiers, sync back onto records in Recurly where the finance team can act on them.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. 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: List endpoints support incremental pulls via sort=updated_at (or created_at) with begin_time/end_time filters, so polling fetches only records changed since the last run. Amazon Redshift: Its SQL dialect derives from PostgreSQL, so standard Postgres drivers connect, though not all Postgres features exist. Stacksync's field mapping accounts for these differences between Amazon Redshift 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 Amazon Redshift and Recurly records are not retained after a sync operation.
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 537 integrations available for Amazon Redshift and Recurly.