Real-time
Two-way sync
Changes in Infor CRM or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Infor CRM to Render Postgres integration — real-time, two-way sync
Keep Infor CRM 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Infor CRM and Render Postgres
Treat Infor CRM like part of your database: its records live in Render Postgres as real tables, and writes in either place sync to the other in seconds.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Render Postgres, where it can be queried and joined like everything else.
Stacksync mirrors Opportunities, Tickets, Activities, Campaigns from Infor CRM into Materialized Views, Schemas, Columns and Types, Indexes and Constraints in Render Postgres with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Infor CRM with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Common use cases
- 01 Support a migration to another CRM by running both systems in sync during the transition.
- 02 Run a two-way sync between Infor CRM accounts and contacts and a Postgres database so internal tools read CRM data with SQL.
- 03 Two-way sync CRM or ERP objects into Render Postgres tables so product and ops teams query business data with plain SQL.
- 04 Capture row-level changes via logical replication and propagate them to a warehouse or another database in near real time.
Common sync patterns
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Infor CRM API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Infor CRM arrive as row changes in Render Postgres, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Infor CRM become tables in Render Postgres you can join with application data directly.
What you can sync between Infor CRM 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.
| Infor CRM objects | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Activities Calls, meetings, and tasks synced for engagement reporting. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Activities is specific to Infor CRM and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Campaigns Marketing containers linked to leads and opportunities. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Campaigns is specific to Infor CRM and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| Custom entities Deployment-specific objects added through the customizable entity model. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Custom entities is specific to Infor CRM and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Accounts Company records matched against ERP customer masters in syncs. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Accounts is specific to Infor CRM and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| Contacts Person records synced with marketing and support tools. | 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. | Contacts is specific to Infor CRM and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Leads Unqualified records synced in from marketing sources. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Leads is specific to Infor CRM and Views to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Infor CRM 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.
Infor CRM Render Postgres Interval-based propagation
DetectionStacksync polls Infor CRM for changes on an incremental schedule, reading only records changed since the previous pass. Polling on modified timestamps.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Infor CRM 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 Infor CRM through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Infor CRM: Subject to the deployment's configured API limits, which differ between on-premises and cloud installs.
- 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 Infor CRM ⇄ Render Postgres
Connect Infor CRM and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor CRM–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor CRM 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 Infor CRM or Render Postgres record.
Observability
Monitoring
Track your Infor CRM ⇄ 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 Infor CRM and Render Postgres.
How the Infor CRM and Render Postgres connectors work
Infor CRM
- Integration surface
- REST-style SData API over the CRM entity model
- Authentication
- User credentials; Infor OS-managed authentication in cloud deployments
- Change detection
- Polling on modified timestamps; no log-based CDC on the API surface
- Capabilities
- read · write
- Rate limits
- Subject to the deployment's configured API limits, which differ between on-premises and cloud installs.
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 Infor CRM 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 Infor CRM 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.
Infor CRM
connected
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor CRM 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 · Infor CRM ⇄ 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.
Infor CRM Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor CRM and Render Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Infor CRM and Render Postgres: authenticate both systems, choose the objects to sync (such as Infor CRM's Activities and Campaigns), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Infor CRM and Render Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Infor CRM–Render Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Infor CRM 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 Infor CRM: Polling on modified timestamps; no log-based CDC on the API surface. 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.
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On the Infor CRM side: Opportunities, Tickets, Activities, Campaigns, plus custom fields where Infor CRM exposes them. On the Render Postgres side: Materialized Views, Schemas, Columns and Types, Indexes and Constraints. 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.
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
Every pair below is a real-time, two-way sync. Search all 432 integrations available for Infor CRM and Render Postgres.
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Infor CRM ⇄ RavenDB -
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