Real-time
Two-way sync
Changes in Firebolt or Infor M3 instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ ERP
Firebolt to Infor M3 integration — real-time, two-way sync
Keep Firebolt 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 Firebolt and Infor M3
Put Infor M3's records in Firebolt as live tables for reporting and analysis, without extract jobs, and write results back where Infor M3 can use them.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Infor M3 carries financials, operations, workforce data, or all three, the analysis belongs in Firebolt next to everything else the company measures.
Stacksync syncs Warehouses, Price Lists, Items, Customers from Infor M3 into tables in Firebolt continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Firebolt can be written back to fields in Infor M3 where that is useful.
Common use cases
- Sync aggregated results from Firebolt back to operational tools that need computed metrics (reverse ETL).
- Sync CRM objects into Firebolt so customer-facing dashboards reflect recent pipeline changes.
- Push orders captured in a CRM into M3 as customer orders without manual re-entry
- Mirror M3 customers and invoices into a CRM or warehouse so sales and finance share one AR view
Write-back where Infor M3 exposes writable fields
Classifications or reference values computed in Firebolt sync back onto the corresponding records in Infor M3.
Where Infor M3 holds the books: finance reporting from live data
Financial records land in Firebolt as they change, so period-end reporting queries current numbers rather than last night's extract.
Where Infor M3 is the HR system of record: workforce analytics
Worker and organization data syncs into Firebolt for headcount, cost, and planning analysis alongside other company data.
What you can sync between Firebolt 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.
| Firebolt objects | Infor M3 objects | |
|---|---|---|
| Tables Managed columnar tables written with SQL; the main sync destination. | Purchase Orders PO headers and lines sync outward so buyers and receiving teams see the same demand. | |
| External tables References to files in object storage used to stage bulk loads. | Manufacturing Orders Production order status feeds portals and CRMs so promised dates reflect the shop floor. | |
| Views Curated query surfaces commonly used as sources for reverse ETL. | Inventory Balances On-hand quantities by warehouse drive available-to-promise in downstream channels. | |
| Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. | Invoices Billing documents flow to finance and CRM tools for AR visibility. | |
| Engines Compute resources that must be running for a sync to read or write. | Warehouses Warehouse and facility records scope inventory and order data during mapping. | |
| Databases Logical containers holding the tables a sync targets. | Price Lists Pricing data keeps quoting tools consistent with the prices M3 will actually invoice. |
What ships with Firebolt ⇄ Infor M3
Connect Firebolt and Infor M3 for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebolt–Infor M3 connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Firebolt 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 Firebolt or Infor M3 record.
Observability
Monitoring
Track your Firebolt ⇄ 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 Firebolt and Infor M3.
How the Firebolt and Infor M3 connectors work
Firebolt
- Integration surface
- SQL over a REST API, with JDBC, Python, and Node.js SDKs
- Authentication
- Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens
- Change detection
- Polling; Firebolt is an analytics destination and does not expose a change feed
- Capabilities
- read · write
- Rate limits
- No fixed request quota; throughput depends on the engine size attached to the workload
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 Firebolt 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 Firebolt 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.
Firebolt
connected
Infor M3
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Firebolt 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 · Firebolt ⇄ 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.
Firebolt Infor M3Company company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Firebolt and Infor M3 integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Firebolt and Infor M3: authenticate both systems, choose the objects to sync (such as Firebolt's Tables and External tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
On the Firebolt side: Aggregating indexes, Engines, Databases, Tables, plus custom fields where Firebolt exposes them. On the Infor M3 side: Warehouses, Price Lists, Items, Customers. 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 Firebolt and Infor M3: Write-back where Infor M3 exposes writable fields; Where Infor M3 holds the books: finance reporting from live data; Where Infor M3 is the HR system of record: workforce analytics. Classifications or reference values computed in Firebolt sync back onto the corresponding records in Infor M3.
-
Firebolt: SQL over a REST API, with JDBC, Python, and Node.js SDKs. Authentication: Service account credentials (client ID and secret) exchanged for OAuth 2.0 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.
-
Firebolt: Compute is organized into engines that start and stop independently of storage, so sync schedules interact with engine availability and cost. 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 Firebolt and Infor M3 without custom code.
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 Firebolt and Infor M3.
Popular · 8 of 386
-
Firebolt ⇄ Microsoft Dynamics NAV -
Firebolt ⇄ Plex ERP -
Firebolt ⇄ QAD ERP -
Firebolt ⇄ Rootstock ERP -
Infor M3 ⇄ Tinybird -
Infor M3 ⇄ Vertica -
Infor M3 ⇄ Yellowbrick -
Infor M3 ⇄ Snowflake
No integrations match .
