Real-time
Two-way sync
Changes in Elasticsearch or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ ERP
Elasticsearch to Infor M3 integration — real-time, two-way sync
Keep Elasticsearch and Infor M3 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
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Elasticsearch and Infor M3
Give your engineers Infor M3's data in Elasticsearch: 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 Invoices, Warehouses, Price Lists, Items from Infor M3 into Elasticsearch 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 Elasticsearch sync back into Infor M3 with its validations respected.
Common use cases
- Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.
- Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
- Keep supplier and purchase order data aligned between M3 and procurement tools
- Consolidate M3 transactional data into an analytics database for cross-plant reporting
Where Infor M3 is the HR system of record: people data for internal systems
Worker and org records stay current in Elasticsearch for provisioning, access, and reporting systems that read from the database.
Controlled write-back
Choose exactly which tables and fields may flow from Elasticsearch back into Infor M3, keeping the ERP authoritative.
Read ERP records with a query
Records from Infor M3 live in Elasticsearch as ordinary tables or collections, joinable with the rest of your data.
What you can sync between Elasticsearch and Infor M3
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.
| Elasticsearch objects | Infor M3 objects | |
|---|---|---|
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Invoices Billing documents flow to finance and CRM tools for AR visibility. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Warehouses Warehouse and facility records scope inventory and order data during mapping. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Items Item master records provide the SKU, unit, and attribute data other systems price and sell against. |
What ships with Elasticsearch ⇄ Infor M3
Connect Elasticsearch and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Infor M3 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 Elasticsearch or Infor M3 record.
Observability
Monitoring
Track your Elasticsearch ⇄ Infor M3 sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Elasticsearch and Infor M3.
How the Elasticsearch and Infor M3 connectors work
Elasticsearch
- Integration surface
- REST API (JSON over HTTP)
- Authentication
- API keys or basic authentication; Elastic Cloud also issues service account tokens
- Change detection
- Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity
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
How it works
How to connect Elasticsearch to Infor M3 — 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 Elasticsearch and Infor M3 with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Elasticsearch
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Infor M3 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 · Elasticsearch ⇄ Infor M3Customers 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.
Elasticsearch Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Infor M3 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Infor M3: authenticate both systems, choose the objects to sync (such as Elasticsearch's Aliases and Data streams), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Infor M3: Event publishing through Infor ION (Business Object Documents), configured in ION, or scheduled polling of API endpoints. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Elasticsearch side: Documents, Index mappings, Aliases, Data streams, plus custom fields where Elasticsearch exposes them. On the Infor M3 side: Invoices, Warehouses, Price Lists, Items. Stacksync auto-detects both schemas and converts types between the two systems.
-
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 Elasticsearch and Infor M3: Where Infor M3 is the HR system of record: people data for internal systems; Controlled write-back; Read ERP records with a query. Worker and org records stay current in Elasticsearch for provisioning, access, and reporting systems that read from the database.
-
Elasticsearch: REST API (JSON over HTTP). Authentication: API keys or basic authentication; Elastic Cloud also issues service account tokens. Infor M3: REST API (M3 API programs exposed through the Infor ION API gateway). Authentication: OAuth 2.0 via Infor OS / ION API authorization. Stacksync manages authentication, retries, and rate limits on both sides.
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 Elasticsearch and Infor M3.
Popular · 8 of 386
-
Elasticsearch ⇄ SAP -
Elasticsearch ⇄ Snapfulfil -
Elasticsearch ⇄ Syspro -
Elasticsearch ⇄ TikTok Shop -
Infor M3 ⇄ InterSystems IRIS -
Infor M3 ⇄ MarkLogic -
Infor M3 ⇄ Neo4j -
Infor M3 ⇄ OCI Database (Oracle Cloud)
No integrations match .
