Skip to content
Data warehouse ⇄ CRM

Apache Druid to SAP Sales Cloud integration — real-time, two-way sync

Keep Apache Druid and SAP Sales Cloud 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 SAP Sales Cloud

Sync SAP Sales Cloud 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, Individual Customers, Leads from SAP Sales Cloud land in Apache Druid as live tables, updated within seconds, and columns computed in Apache Druid write back to fields in SAP Sales Cloud. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

Common use cases

  • Bi-directional account and contact sync between SAP Sales Cloud and S/4HANA or a Postgres MDM layer so front and back office share one customer master.
  • Replicate opportunities and quotes to a warehouse for pipeline and forecast reporting outside SAP analytics.
  • Sync Druid query results into a warehouse to combine real-time aggregates with historical models.
  • Keep lookup tables in Druid refreshed from a CRM or database so query-time joins use current reference data.

CRM analytics on live data

Accounts, contacts, and activity from SAP Sales Cloud 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 SAP Sales Cloud, where the people working accounts actually see them.

A single customer view

Join SAP Sales Cloud'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 SAP Sales Cloud

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 SAP Sales Cloud objects
Metrics Numeric columns, often pre-aggregated at ingestion via rollup. Sales Orders Order records exchanged with S/4HANA or ECC in lead-to-cash flows.
Ingestion Supervisors Long-running specs that pull from streams like Kafka; the write path into Druid. Activities Appointments, tasks, and calls exported for engagement reporting.
Lookups Key-value mappings joined at query time, refreshable from external systems. Products Sellable item records typically mastered in the ERP and synced in.
Tasks Batch ingestion and compaction jobs monitored during data loads. Service Tickets Service requests synced with support tools where service scope is used.
Datasources The table-like unit of storage and querying, the main target of reads and ingestion. Accounts Corporate customer records synced with ERP business partners and marketing tools.
Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. Contacts Person records linked to accounts, synced with marketing automation and enrichment sources.
What ships with Apache Druid ⇄ SAP Sales Cloud

Connect Apache Druid and SAP Sales Cloud for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Druid or SAP Sales Cloud 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 SAP Sales Cloud record.

Observability

Monitoring

Track your Apache Druid ⇄ SAP Sales Cloud 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 SAP Sales Cloud.

How the Apache Druid and SAP Sales Cloud 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

SAP Sales Cloud

Integration surface
OData API (v2) plus SOAP web services
Authentication
Basic auth or OAuth 2.0 (SAML bearer assertion)
Change detection
Polling on last-changed timestamps; event notifications can push change signals to an external endpoint
Capabilities
read · write · webhooks
How it works

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

    Choose tables

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

Apache Druid and SAP Sales Cloud 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 SAP Sales Cloud.

Popular · 8 of 386
Coworkers laughing in front of a laptop in a casual office setting

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