Real-time
Two-way sync
Changes in Infor M3 or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Infor M3 to TimescaleDB integration — real-time, two-way sync
Keep Infor M3 and TimescaleDB 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 M3 and TimescaleDB
Give your engineers Infor M3's data in TimescaleDB: read it with normal queries, write back through the sync, and skip the ERP API entirely.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Price Lists, Items, Customers, Suppliers from Infor M3 into TimescaleDB and keeps both sides consistent in real time. Whatever Infor M3 is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in TimescaleDB sync back into Infor M3 with its validations respected.
Common use cases
- 01 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
- 02 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
- 03 Keep supplier and purchase order data aligned between M3 and procurement tools
- 04 Consolidate M3 transactional data into an analytics database for cross-plant reporting
Common sync patterns
Controlled write-back
Choose exactly which tables and fields may flow from TimescaleDB back into Infor M3, keeping the ERP authoritative.
Read ERP records with a query
Records from Infor M3 live in TimescaleDB as ordinary tables or collections, joinable with the rest of your data.
Internal tools and automations without API code
Scripts and services read and write the synced tables; Stacksync handles the Infor M3 interface, limits, and retries.
What you can sync between Infor M3 and TimescaleDB
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 M3 objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Purchase Orders is specific to Infor M3 and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Manufacturing Orders is specific to Infor M3 and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Inventory Balances is specific to Infor M3 and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| Invoices Billing documents flow to finance and CRM tools for AR visibility. | Views Standard SQL views used to shape or filter data for consumers. | Invoices is specific to Infor M3 and Views to TimescaleDB — each maps to any object or custom field on the other side. | |
| Warehouses Warehouse and facility records scope inventory and order data during mapping. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Warehouses is specific to Infor M3 and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Price Lists is specific to Infor M3 and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Infor M3 and TimescaleDB
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 M3 TimescaleDB Sub-second propagation
DetectionInfor M3 notifies Stacksync of record changes through webhook events. Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints.
DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Infor M3 Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryEach detected change is written to Infor M3 through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Infor M3: Subject to Infor ION API gateway throttling policies.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Infor M3 ⇄ TimescaleDB
Connect Infor M3 and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 or TimescaleDB 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 M3 or TimescaleDB record.
Observability
Monitoring
Track your Infor M3 ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Infor M3 and TimescaleDB.
How the Infor M3 and TimescaleDB connectors work
Infor M3
- Integration surface
- REST API (M3 API programs exposed through the Infor ION API gateway)
- Authentication
- OAuth 2.0 via Infor OS / ION API authorization
- Change detection
- Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to Infor ION API gateway throttling policies
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Infor M3 to TimescaleDB — 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 M3 and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Infor M3
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 and TimescaleDB 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 M3 ⇄ TimescaleDBCustomers 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 M3 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and TimescaleDB: authenticate both systems, choose the objects to sync (such as Infor M3's Purchase Orders and Manufacturing Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the TimescaleDB side: Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables, plus custom fields where TimescaleDB exposes them. On the Infor M3 side: Price Lists, Items, Customers, Suppliers. 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 Infor M3 and TimescaleDB: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from TimescaleDB back into Infor M3, keeping the ERP authoritative.
-
Infor M3: REST API (M3 API programs exposed through the Infor ION API gateway). Authentication: OAuth 2.0 via Infor OS / ION API authorization. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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TimescaleDB: TimescaleDB is packaged as a PostgreSQL extension, so standard Postgres drivers and SQL tooling work unchanged. Infor M3: M3 business logic is exposed through M3 API programs (MI programs), which Infor publishes as REST endpoints through the ION API gateway rather than as a single flat resource model. Stacksync's field mapping accounts for these differences between Infor M3 and TimescaleDB without custom 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.
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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
Every pair below is a real-time, two-way sync. Search all 428 integrations available for Infor M3 and TimescaleDB.
Popular · 7 of 428
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Infor M3 ⇄ Amazon RDS -
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Infor M3 ⇄ MySQL -
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TimescaleDB ⇄ QAD ERP -
TimescaleDB ⇄ Sage 100 - TimescaleDB ⇄ Sage 300
No integrations match .
