Skip to content
Data warehouse ⇄ CRM

Databricks to Infor CRM integration — real-time, two-way sync

Keep Databricks and Infor CRM 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 Databricks and Infor CRM

Sync Infor CRM into Databricks continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Custom entities, Accounts, Contacts, Leads from Infor CRM land in Databricks as live tables, updated within seconds, and columns computed in Databricks write back to fields in Infor CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Support a migration to another CRM by running both systems in sync during the transition.
  • Run a two-way sync between Infor CRM accounts and contacts and a Postgres database so internal tools read CRM data with SQL.
  • Serve ML feature outputs computed in Databricks to production apps through a synced operational store.
  • Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.

Cleanup that sticks

Deduplication and normalization done in Databricks can be written back, so warehouse-side cleanup actually fixes the CRM.

CRM analytics on live data

Accounts, contacts, and activity from Infor CRM are queryable in Databricks moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Databricks appear as fields in Infor CRM, where the people working accounts actually see them.

What you can sync between Databricks and Infor CRM

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.

Databricks objects Infor CRM objects
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Accounts Company records matched against ERP customer masters in syncs.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Contacts Person records synced with marketing and support tools.
Views Curated read-only projections used as sync sources for downstream tools. Leads Unqualified records synced in from marketing sources.
Materialized Views Precomputed results read on a schedule for reverse-ETL style syncs. Opportunities Pipeline records synced out for forecasting and reporting.
Volumes Unity Catalog file storage used for staging bulk loads. Tickets Service records synced with helpdesk and field service systems.
SQL Warehouses The compute endpoint a sync connects to for query execution. Activities Calls, meetings, and tasks synced for engagement reporting.
What ships with Databricks ⇄ Infor CRM

Connect Databricks and Infor CRM for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Databricks–Infor CRM connection.

Real-time

Two-way sync

Changes in Databricks or Infor CRM instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or Infor CRM 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 Databricks or Infor CRM record.

Observability

Monitoring

Track your Databricks ⇄ Infor CRM sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Databricks and Infor CRM.

How the Databricks and Infor CRM connectors work

Databricks

Integration surface
SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication
Personal access tokens or OAuth machine-to-machine credentials for service principals
Change detection
Delta Lake Change Data Feed for row-level changes; otherwise incremental polling on watermark columns
Capabilities
read · write · CDC
Rate limits
Throughput depends on the SQL warehouse size; API calls are subject to workspace rate limits

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.
How it works

How to connect Databricks to Infor CRM — 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.

  1. 01

    Connect your apps

    Authenticate Databricks and Infor CRM with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Databricks connected
    Infor CRM connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks and Infor CRM 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Databricks ⇄ Infor CRM
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Databricks Infor CRM
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Databricks and Infor CRM integration FAQ

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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Databricks and Infor CRM.

Popular · 8 of 386
All Databricks integrations All Infor CRM integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own