Skip to content
Data warehouse ⇄ CRM

Apache Druid to Gorgias integration — real-time, two-way sync

Keep Apache Druid 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

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 Apache Druid and Gorgias

Sync Gorgias into Apache Druid 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. Satisfaction surveys, Events, Custom fields, Tickets from Gorgias land in Apache Druid as live tables, updated within seconds, and columns computed in Apache Druid 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

  • 01 Route high-value or churn-risk customers to priority queues by writing scores from a data warehouse into ticket or customer fields.
  • 02 Sync ticket tags and CSAT results to analytics tools for support quality reporting.
  • 03 Feed operational records into Druid via batch ingestion so analysts get interactive slice-and-dice on fresh data.
  • 04 Sync Druid query results into a warehouse to combine real-time aggregates with historical models.

Common sync patterns

CRM analytics on live data

Accounts, contacts, and activity from Gorgias are queryable in Apache Druid 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 Apache Druid appear as fields in Gorgias, where the people working accounts actually see them.

A single customer view

Join Gorgias's relationship data with billing, product, and support data in Apache Druid to build the customer picture the CRM alone cannot hold.

What you can sync between Apache Druid 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.

Apache Druid objects Gorgias objects How this pairing syncs
Dimensions String and categorical columns used for filtering and grouping in synced queries. Tickets The central support object, aggregating a conversation across channels. Dimensions is specific to Apache Druid and Tickets to Gorgias — each maps to any object or custom field on the other side.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Messages Individual inbound and outbound messages attached to a ticket. Metrics is specific to Apache Druid and Messages to Gorgias — each maps to any object or custom field on the other side.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Customers Unified shopper profiles that merge identities across connected stores. Ingestion Supervisors is specific to Apache Druid and Customers to Gorgias — each maps to any object or custom field on the other side.
Lookups Key-value mappings joined at query time, refreshable from external systems. Users (agents) Support staff records used for assignment and workload reporting. Lookups is specific to Apache Druid and Users (agents) to Gorgias — each maps to any object or custom field on the other side.
Tasks Batch ingestion and compaction jobs monitored during data loads. Tags Categorize tickets for routing and downstream analytics. Tasks is specific to Apache Druid and Tags to Gorgias — each maps to any object or custom field on the other side.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Satisfaction surveys CSAT responses synced out for support quality reporting. Datasources is specific to Apache Druid and Satisfaction surveys to Gorgias — each maps to any object or custom field on the other side.

How changes propagate between Apache Druid and Gorgias

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Apache Druid Gorgias Interval-based propagation

DetectionStacksync polls Apache Druid for changes on an incremental schedule, reading only records changed since the previous pass. Data enters Druid through streaming or batch ingestion rather than row updates.

DeliveryEach detected change is written to Gorgias through its API, with automatic retries and rate-limit backoff.

Gorgias Apache Druid Sub-second propagation

DetectionGorgias notifies Stacksync of record changes through webhook events. Webhooks for ticket and message events, supplemented by polling with updated-at cursors.

DeliveryEach detected change is applied to Apache Druid as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Apache Druid: No fixed API quotas; query concurrency is bounded by broker and historical node capacity.
  • Gorgias: Subject to the platform's API rate limits, which vary by plan.
What ships with Apache Druid ⇄ Gorgias

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid 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 Apache Druid or Gorgias record.

Observability

Monitoring

Track your Apache Druid ⇄ Gorgias sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Druid and Gorgias.

How the Apache Druid and Gorgias connectors work

Apache Druid

Integration surface
REST API (SQL over HTTP and native JSON queries); JDBC via Avatica
Authentication
Deployment-dependent: basic authentication or an authenticator extension; often fronted by a proxy
Change detection
Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates
Capabilities
read · write
Rate limits
No fixed API quotas; query concurrency is bounded by broker and historical node capacity

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 Apache Druid 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 Apache Druid 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
    Apache Druid connected
    Gorgias connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid 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 · Apache Druid ⇄ 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
    Apache Druid Gorgias
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Apache Druid and Gorgias integration FAQ

SECURITY

Security teams trust 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
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 443 integrations available for Apache Druid and Gorgias.

Popular · 5 of 443
All Apache Druid integrations All Gorgias 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