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Data warehouse ⇄ CRM

Databricks to Gorgias integration — real-time, two-way sync

Keep Databricks and Gorgias 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

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Why teams connect Databricks and Gorgias

Sync Gorgias 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. Events, Custom fields, Tickets, Messages from Gorgias land in Databricks as live tables, updated within seconds, and columns computed in Databricks write back to fields in Gorgias. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Keep customer records consistent between Gorgias and marketing platforms so support interactions inform campaigns.
  • Sync Gorgias customers and tickets into a warehouse or CRM so support volume can be analyzed alongside order and LTV data.
  • Land CRM and ERP records in Delta tables continuously so lakehouse models work from current operational data.
  • Use Change Data Feed to propagate only changed rows to downstream apps instead of full-table scans.

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 Gorgias 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 Gorgias, where the people working accounts actually see them.

What you can sync between Databricks and Gorgias

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 Gorgias objects
Volumes Unity Catalog file storage used for staging bulk loads. Events Activity records useful for auditing what happened on a ticket.
SQL Warehouses The compute endpoint a sync connects to for query execution. Custom fields Extend tickets with brand-specific attributes.
Change Data Feed Row-level change records on Delta tables that drive incremental reads. Tickets The central support object, aggregating a conversation across channels.
Catalogs Top level of the Unity Catalog namespace, scoping which schemas a sync can address. Messages Individual inbound and outbound messages attached to a ticket.
Schemas Group tables and views; syncs typically target a dedicated schema per source system. Customers Unified shopper profiles that merge identities across connected stores.
Delta Tables The primary read and write target; operational data lands here as managed or external tables. Users (agents) Support staff records used for assignment and workload reporting.
What ships with Databricks ⇄ Gorgias

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Databricks or Gorgias 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 Gorgias record.

Observability

Monitoring

Track your Databricks ⇄ Gorgias 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 Gorgias.

How the Databricks and Gorgias 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

Gorgias

Integration surface
REST API
Authentication
API key paired with the account email over HTTP Basic auth; OAuth 2.0 for public apps
Change detection
Webhooks for ticket and message events, supplemented by polling with updated-at cursors
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's API rate limits, which vary by plan.
How it works

How to connect Databricks to Gorgias — 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 Gorgias 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
    Gorgias connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Databricks and Gorgias 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 ⇄ Gorgias
    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 Gorgias
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Databricks and Gorgias 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 Gorgias.

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