Real-time
Two-way sync
Changes in Infor M3 or OpenSearch instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Infor M3 to OpenSearch integration — real-time, two-way sync
Keep Infor M3 and OpenSearch 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
Case study
Migrated from Mulesoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Infor M3 and OpenSearch
Give your engineers Infor M3's data in OpenSearch: 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 Suppliers, Customer Orders, Purchase Orders, Manufacturing Orders from Infor M3 into OpenSearch 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 OpenSearch sync back into Infor M3 with its validations respected.
Common use cases
- Stream CRM records such as accounts, contacts, and tickets into OpenSearch to power internal search across customer data.
- Sync product catalogs from an ERP or database into the indexes that back storefront search.
- Consolidate M3 transactional data into an analytics database for cross-plant reporting
- Sync M3 item master and inventory balances to commerce or CPQ systems so quotes price against live stock
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.
React to ERP changes
Updates in Infor M3 arrive as row changes in OpenSearch, so jobs and triggers can respond as the business record changes.
Where Infor M3 is the HR system of record: people data for internal systems
Worker and org records stay current in OpenSearch for provisioning, access, and reporting systems that read from the database.
What you can sync between Infor M3 and OpenSearch
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 | OpenSearch objects | |
|---|---|---|
| Customer Orders Orders created in commerce or CRM systems land in M3 for fulfillment and invoicing. | Documents JSON records written via the index and bulk APIs and read via search queries | |
| Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills | |
| Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | Index templates Mapping and settings presets applied to new indexes a sync creates | |
| Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | Ingest pipelines Server-side processors that transform documents as they are written | |
| Invoices Billing documents flow to finance and CRM tools for AR visibility. | Data streams Append-oriented time-series storage for logs and events pushed from source systems | |
| Warehouses Warehouse and facility records scope inventory and order data during mapping. | Snapshots Backup artifacts, relevant when reseeding an index from a repository |
What ships with Infor M3 ⇄ OpenSearch
Connect Infor M3 and OpenSearch for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Infor M3–OpenSearch connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Infor M3 or OpenSearch 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 OpenSearch record.
Observability
Monitoring
Track your Infor M3 ⇄ OpenSearch 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 OpenSearch.
How the Infor M3 and OpenSearch 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
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
How it works
How to connect Infor M3 to OpenSearch — 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 OpenSearch 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
OpenSearch
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Infor M3 and OpenSearch 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 ⇄ OpenSearchCustomers 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 OpenSearchCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Infor M3 and OpenSearch integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Infor M3 and OpenSearch: authenticate both systems, choose the objects to sync (such as Infor M3's Customer Orders and Purchase Orders), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Infor M3 and OpenSearch: Internal tools and automations without API code; React to ERP changes; Where Infor M3 is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Infor M3 interface, limits, and retries.
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Infor M3: REST API (M3 API programs exposed through the Infor ION API gateway). Authentication: OAuth 2.0 via Infor OS / ION API authorization. OpenSearch: REST API over HTTP(S) with JSON payloads. Authentication: Basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service. Stacksync manages authentication, retries, and rate limits on both sides.
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OpenSearch: OpenSearch exposes no built-in change feed, so it usually serves as a sync destination with sources pushing documents in through the bulk API. Infor M3: Most M3 records are scoped by a company, division, facility, and warehouse hierarchy, which integration mappings need to carry explicitly. Stacksync's field mapping accounts for these differences between Infor M3 and OpenSearch 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 Infor M3 and OpenSearch 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 Infor M3 and OpenSearch connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Infor M3–OpenSearch integration in-house.
SECURITY
Security teams love 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 386 integrations available for Infor M3 and OpenSearch.
Popular · 8 of 386
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OpenSearch ⇄ SAP Business One -
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No integrations match .
