Real-time
Two-way sync
Changes in Akeneo or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
E-commerce ⇄ Database
Akeneo to Render Postgres integration — real-time, two-way sync
Keep Akeneo and Render Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from Celigo
Why teams connect Akeneo and Render Postgres
Give your engineers Akeneo's products, orders, and customers in Render Postgres: read them with normal queries, write inventory and prices back through the sync, and skip the storefront API.
E-commerce data sits behind an API built for the storefront, not for your internal systems. Teams that need those records, for order routing, inventory logic, reporting, or back-office tools, end up writing integration code against a rate-limited API and maintaining it through every catalog change and platform upgrade.
Stacksync mirrors Reference entities and records, Assets, Channels and locales, Media files from Akeneo into Render Postgres and keeps both sides consistent in real time. Whatever Akeneo holds, whether products, orders, customers, or inventory, those records become rows your code can query, and changes written in Render Postgres, such as new prices, stock levels, or fulfillment status, sync back into Akeneo with its validations respected.
Merchandising and operations keep working in the storefront, engineers keep working in the database, and neither side has to reconcile against a nightly export.
Common use cases
- 01 Two-way sync CRM or ERP objects into Render Postgres tables so product and ops teams query business data with plain SQL.
- 02 Capture row-level changes via logical replication and propagate them to a warehouse or another database in near real time.
- 03 Read Reference entities records such as brands and manufacturers into a data warehouse for cross-catalog reporting.
- 04 Mirror Products and completeness data into a warehouse to track enrichment progress by channel and locale without manual CSV exports.
Common sync patterns
React to store changes
Updates in Akeneo arrive as row changes in Render Postgres, so jobs and triggers can respond the moment an order, price, or stock level changes.
Keep catalog and inventory current
Prices, stock levels, or product details maintained in Render Postgres sync back onto Akeneo, so the storefront shows what your systems treat as true.
Order data where your code can use it
Orders and their status become rows in Render Postgres for routing, fulfillment, and reporting, without polling the platform.
What you can sync between Akeneo and Render Postgres
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.
| Akeneo objects | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Product models Parent records for configurable products; hold shared attribute values that cascade to their variant products, synced alongside Products. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Product models is specific to Akeneo and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| Categories The category tree used to classify products; read out for storefront navigation or written in from an ERP to seed catalog structure. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Categories is specific to Akeneo and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Attributes Attribute definitions plus attribute options and groups; describe the shape of product data, usually mastered in Akeneo and read downstream. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Attributes is specific to Akeneo and Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Families and family variants Templates defining which attributes a product carries and how variants axis out; synced to keep catalog structure consistent across systems. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Families and family variants is specific to Akeneo and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Reference entities and records Structured lookups like brands, manufacturers, or ingredients with their own records (Enterprise Edition); synced two-way or read into a warehouse for reporting. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Reference entities and records is specific to Akeneo and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| Assets Asset-family media (images, documents) managed in Akeneo's DAM; linked to products and synced to storefronts and commerce systems. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Assets is specific to Akeneo and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Akeneo and Render Postgres
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.
Akeneo Render Postgres Sub-second propagation
DetectionAkeneo notifies Stacksync of record changes through webhook events. Events API webhooks (product.created, product.updated, product.deleted, plus product-model equivalents.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Akeneo Sub-second propagation
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Akeneo through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Akeneo: REST protection triggers above roughly 100 requests/second per PIM instance (HTTP 429 with Retry-After); the Events API caps at 4000 requests/hour with a 500ms webhook ack timeout.
- Render Postgres: No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
What ships with Akeneo ⇄ Render Postgres
Connect Akeneo and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Akeneo–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Akeneo or Render Postgres 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 Akeneo or Render Postgres record.
Observability
Monitoring
Track your Akeneo ⇄ Render Postgres sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Akeneo and Render Postgres.
How the Akeneo and Render Postgres connectors work
Akeneo
- Integration surface
- REST API (plus a GraphQL API) and an Events API for webhooks
- Authentication
- OAuth2 password grant: client_id/secret plus an API user's username/password exchanged at /api/oauth/v1/token for a bearer access_token and refresh_token; Apps use the OAuth2 authorization-code flow
- Change detection
- Events API webhooks (product.created, product.updated, product.deleted, plus product-model equivalents; product.updated.delta carries old and new values); falls back to polling the 'updated' datetime search filter where the Events API is unavailable
- Capabilities
- read · write · webhooks
- Rate limits
- REST protection triggers above roughly 100 requests/second per PIM instance (HTTP 429 with Retry-After); the Events API caps at 4000 requests/hour with a 500ms webhook ack timeout.
Render Postgres
- Integration surface
- PostgreSQL wire protocol (managed Postgres on Render)
- Authentication
- Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting
- Change detection
- Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
How it works
How to connect Akeneo to Render Postgres — 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 Akeneo and Render Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Akeneo
connected
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Akeneo and Render Postgres 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 · Akeneo ⇄ Render PostgresCustomers 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.
Akeneo Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Akeneo and Render Postgres integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Akeneo and Render Postgres: authenticate both systems, choose the objects to sync (such as Akeneo's Product models and Categories), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Render Postgres: Logical replication requires wal_level=logical and an available replication slot; plan connection limits make pooling important for busy syncs. Akeneo: REST protection triggers above roughly 100 requests/second per PIM instance, returning HTTP 429 with a Retry-After header. Stacksync's field mapping accounts for these differences between Akeneo and Render Postgres without custom code.
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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 Akeneo and Render Postgres records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Akeneo and Render Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Akeneo–Render Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Akeneo and Render Postgres. 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 Akeneo: Events API webhooks (product.created, product.updated, product.deleted, plus product-model equivalents; product.updated.delta carries old and new values); falls back to polling the 'updated' datetime search filter where the Events API is unavailable. On Render Postgres: Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
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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