Two-way sync
Changes in Materialize or SAP Sales Cloud instantly reflect in both systems. No stale data, no manual imports.
Keep Materialize 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.
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 Materialize as live tables, updated within seconds, and columns computed in Materialize 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.
Deduplication and normalization done in Materialize can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from SAP Sales Cloud are queryable in Materialize moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Materialize appear as fields in SAP Sales Cloud, where the people working accounts actually see them.
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.
| Materialize objects | SAP Sales Cloud objects | How this pairing syncs | |
|---|---|---|---|
| Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Opportunities Pipeline records read for forecasting and warehouse reporting. | Sources is specific to Materialize and Opportunities to SAP Sales Cloud — each maps to any object or custom field on the other side. | |
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Sales Quotes Quote documents often priced against ERP data and synced for order conversion. | Materialized Views is specific to Materialize and Sales Quotes to SAP Sales Cloud — each maps to any object or custom field on the other side. | |
| Sinks Outbound connections that emit view changes to Kafka topics. | Sales Orders Order records exchanged with S/4HANA or ECC in lead-to-cash flows. | Sinks is specific to Materialize and Sales Orders to SAP Sales Cloud — each maps to any object or custom field on the other side. | |
| Indexes In-memory arrangements that make view reads fast for serving workloads. | Activities Appointments, tasks, and calls exported for engagement reporting. | Indexes is specific to Materialize and Activities to SAP Sales Cloud — each maps to any object or custom field on the other side. | |
| Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Products Sellable item records typically mastered in the ERP and synced in. | Clusters is specific to Materialize and Products to SAP Sales Cloud — each maps to any object or custom field on the other side. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Service Tickets Service requests synced with support tools where service scope is used. | Connections & Secrets is specific to Materialize and Service Tickets to SAP Sales Cloud — each maps to any object or custom field on the other side. |
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.
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
DeliveryEach detected change is written to SAP Sales Cloud through its API, with automatic retries and rate-limit backoff.
DetectionSAP Sales Cloud notifies Stacksync of record changes through webhook events. Polling on last-changed timestamps.
DeliveryEach detected change is applied to Materialize as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–SAP Sales Cloud connection.
Changes in Materialize or SAP Sales Cloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Materialize or SAP Sales Cloud data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Materialize or SAP Sales Cloud record.
Track your Materialize ⇄ SAP Sales Cloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Materialize and SAP Sales Cloud.
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.
Authenticate Materialize 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.
Pick the Materialize 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Materialize and SAP Sales Cloud: authenticate both systems, choose the objects to sync (such as Materialize's Sources and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Materialize and SAP Sales Cloud connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Materialize–SAP Sales Cloud integration in-house.
Yes — Stacksync ships production-grade connectors for both Materialize and SAP Sales Cloud. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. On SAP Sales Cloud: Polling on last-changed timestamps; event notifications can push change signals to an external endpoint. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the SAP Sales Cloud side: Accounts, Contacts, Individual Customers, Leads, plus custom fields where SAP Sales Cloud exposes them. On the Materialize side: Connections & Secrets, Schemas & Databases, Tables, Sources. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 450 integrations available for Materialize and SAP Sales Cloud.