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Data warehouse ⇄ CRM

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

Keep Apache Druid and Salesforce 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 Apache Druid and Salesforce

Sync Salesforce 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. Accounts, Contacts, Leads, Opportunities from Salesforce land in Apache Druid as live tables, updated within seconds, and columns computed in Apache Druid write back to fields in Salesforce. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Sync Accounts, Contacts, and Opportunities bi-directionally with Postgres so engineering teams read and write CRM data with plain SQL.
  • Write product usage metrics computed in a warehouse onto Account and Contact fields so reps see adoption signals on the record.
  • Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.
  • Expose product telemetry stored in Druid to business tools without granting direct cluster access.

CRM analytics on live data

Accounts, contacts, and activity from Salesforce 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 Salesforce, where the people working accounts actually see them.

A single customer view

Join Salesforce'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 Salesforce

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 Salesforce objects
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP.
Dimensions String and categorical columns used for filtering and grouping in synced queries. Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records.
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Leads Unqualified prospects; often written into Salesforce from enrichment or product-signup pipelines.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close.
Lookups Key-value mappings joined at query time, refreshable from external systems. Cases Support records; synced with help desk tools or internal databases for escalation workflows.
Tasks Batch ingestion and compaction jobs monitored during data loads. Campaigns Marketing membership data; read out for attribution analysis in the warehouse.
What ships with Apache Druid ⇄ Salesforce

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or Salesforce 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 Salesforce record.

Observability

Monitoring

Track your Apache Druid ⇄ Salesforce 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 Salesforce.

How the Apache Druid and Salesforce 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

Salesforce

Integration surface
REST, SOAP, and Bulk APIs
Authentication
OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode
Change detection
Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting)
Capabilities
read · write · CDC
Rate limits
Daily API request allocations vary by edition and license count.
Salesforce setup guide
How it works

How to connect Apache Druid to Salesforce — 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 Salesforce 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
    Salesforce connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Druid and Salesforce 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 ⇄ Salesforce
    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 Salesforce
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Apache Druid and Salesforce 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.

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 Apache Druid and Salesforce.

Popular · 8 of 386
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