SAP integration that reaches the systems other tools can't.
Connect SAP Datasphere to every system + workflow it doesn't natively reach. Make your warehouse the operational core for live data, AI agents + apps.
+
Live demo · Claude querying SAP + ops via Rayven MCP
Trusted by 240+ teams across Australia + globally
SAP is brilliant at what it does. Useless at everything else your data needs to touch.
Datasphere wraps the SAP semantic layer beautifully inside the SAP estate, but downstream non-SAP CRM, custom apps + AI agents still wait on Replication Flow schedules. Smart Data Access federates inside SAP; outside it, business semantics get stripped in ETL. AI agents lose semantic context the moment data leaves Datasphere. Replication Flow latency spikes when ops teams add new S/4HANA tables.
The integration tool you've already tried probably can't fix it.
SaaS-to-SaaS. Useful, until it isn't.
Connectors for SAP, Slack + a thousand other SaaS apps. Cheap + fast for the easy half of integration. Where they hit a wall:
- Non-SAP CRM, support + ops apps reading Datasphere through scheduled Replication Flow extracts
- Real-time CDC from [SAP S/4HANA](/erp-integrations/sap-s4hana-integration) + [SAP SuccessFactors Payroll](/solutions/data-integration-platform/payroll-integration/sap-successfactors-payroll-integration) via SAP Datasphere Replication Flows
- AI agents querying Datasphere semantic models live through MCP rather than batched SAC refreshes
- Customer-facing apps + portals backed by Datasphere with semantic model context preserved
- Multi-cloud federation when Datasphere estates run alongside Snowflake, BigQuery or Synapse via Smart Data Access
Ops, apps, agents, BI + AI. One platform.
The integration platform built for what other tools can't (or won't) reach - plus an AI data fabric, MCP server + app builder layered on top. Australian-priced.
- SAP + every CRM, ERP + operational system
- Streaming, CDC, files, APIs + custom-built connectors.
- Files, legacy SQL, FTP + custom-built connectors
- Real-time bidirectional sync, tier-aware + rate-limit-safe
- AI Data Fabric, MCP, automation + custom apps included
SAP + Rayven: AI, automation + tools that reach every system you run.
6 examples of what Rayven customers run on SAP + integrated systems. Built in weeks, not months.
Real-time CDC via Replication Flows + ODP
Change-data events from SAP S/4HANA + SAP SuccessFactors Payroll stream into Datasphere via Replication Flows + ODP queues. Sub-second arrival, no scheduled extract.
Reverse ETL with semantics preserved
Datasphere semantic models flow into Salesforce, HubSpot CRM + custom ops apps with full semantic context. Account, customer + product master meanings stay intact downstream.
Claude queries Datasphere semantics via Rayven MCP
Claude + your AI agents query live Datasphere semantic models through Rayven MCP. Spaces, row-level access + SAP HANA security travel through the connection - business meaning preserved.
Datasphere + Snowflake / BigQuery federation
Smart Data Access federation across Snowflake, BigQuery + non-SAP warehouses joins Rayven's real-time event streams in a single pass. SAP semantic context layered on top of cross-vendor query plans.
Customer-facing apps on Datasphere
Portals + embedded analytics on top of Datasphere via Rayven's app layer. Semantic-model-aware RBAC + per-tenant filters all handled - Datasphere Spaces stay free for analytical workloads.
Historical + real-time + semantic
Datasphere semantic models join with Rayven's real-time IoT + transactional stream in a single dashboard. Today's operational anomaly read against years of SAP-native business context.
Integration is the start with Rayven.
Here's what comes with it.
Rayven isn't just a SAP connector. It's the operational software platform underneath - so once SAP is connected, four more capabilities come online by default.
AI-ready data layer (AI Data Fabric)
SAP data joined with ERP, IoT + legacy - contextualised, unified + structured so AI models, agents + tools can use it without ETL prep work.
Learn more →
Live AI access (Rayven MCP)
Claude, ChatGPT + Gemini get live, governed access to SAP + every other connected system. Your AI stops guessing - cites real SAP records + numbers.
Learn more →
Automation + AI agents
Workflows + AI agents act on SAP data without human intervention - escalate at-risk accounts, trigger operational work, auto-update forecasts, draft customer comms.
Learn more →
Custom apps + portals
Unified customer portals, ops dashboards, mobile field apps, partner portals - built on top of integrated SAP data. No separate BI tool, no separate dev stack.
Learn more →
All on top of your existing stack. No rip + replace. SAP stays SAP. Rayven works on what you've already built. Specifically tuned for Datasphere semantic-model preservation + Replication Flow / Smart Data Access orchestration.
Rayven is a five-layer platform ALL your integrations + much more
can run on.
Integration is one layer of Rayven. Data, execution, presentation + governance are the other four - all delivered as one platform on one commercial.
Pick the right tool for your stack.
SAP integration looks different at every scale. Honest comparison of the four common paths - Rayven only wins on some of them.
The integration is the easy bit.
The platform + team behind it is the difference.
Platform + team. One commercial.
Not five vendors stitched together. Rayven is the platform AND the Australia-based expert team that scopes, builds + supports it. One commercial. No licence stacking, no finger-pointing.
Built for Datasphere's business data fabric model.
Rayven uses Replication Flows + ODP queues for sub-second CDC sync, OData + REST APIs for query, with semantic-model preservation end-to-end. Smart Data Access federation across non-SAP warehouses joins one query plane; SAP BTP OAuth + Spaces RBAC schema travel through every flow.
We stay after go-live.
No handoff. No disappearing. Rayven is a long-term partner when your SAP evolves, your stack changes, or you push further. 24/7 support. Same team, same platform, same commercial.
Hosted your way, where you need.
Deploy as cloud, private cloud + on-premise - in Australia, the US, the UK, or anywhere else your SAP data needs to live. Your residency, your rules, your local compliance environment.
The questions SAP admins, RevOps + IT ask first.
If you're evaluating Rayven for SAP integration, these are the things worth knowing before booking a call.
The 30-minute call covers
- Your SAP + connected stack today
- What's reachable + which systems to bring in first
- Live walkthrough of Rayven against your scenario
- Time, scope + delivery estimate
- Honest read on whether Rayven's the right fit
What is SAP Datasphere integration?
SAP Datasphere integration is the practice of connecting Datasphere to the rest of your business stack - non-SAP CRM, customer-facing apps + AI agents - so warehouse data + semantic context are usable everywhere they matter. Rayven delivers Datasphere integration as part of an AI data fabric, not a Replication Flow extract.
How does Rayven connect SAP Datasphere to other systems?
Rayven uses Datasphere's OData APIs, REST endpoints, SAP HANA Cloud SQL + JDBC/ODBC drivers for real-time bidirectional sync. OAuth + SAML authentication. Replication Flows + Smart Data Access integrate as first-class events. See the Rayven Platform for the integration + data layers.
What systems can Rayven connect SAP Datasphere to?
Rayven connects Datasphere to 600+ systems including SAP S/4HANA, SAP SuccessFactors Payroll, Salesforce, HubSpot CRM, Snowflake, BigQuery, Synapse + custom ops + portal systems - plus AI agents via Rayven MCP.
How does Rayven preserve Datasphere semantic models downstream?
Rayven's data layer carries Datasphere's semantic model metadata - business names, hierarchies, calculated members - end-to-end. CRM, BI + AI agents downstream see the SAP-native business meaning, not stripped-down rows.
Does Datasphere have a native API? Why does Rayven add value on top?
Yes - Datasphere ships OData APIs, REST endpoints, SAP HANA Cloud SQL, Replication Flows + Smart Data Access. Rayven adds value because production sync needs more than a connector: semantic-model preservation, Replication Flow orchestration, MCP-grade AI access on semantic data + the apps + portal layers on top. Read more in how Rayven works.
What are the most common Datasphere integration use cases?
Top use cases are S/4HANA + SuccessFactors CDC, reverse ETL to non-SAP CRM with semantics preserved, Claude querying Datasphere via MCP, Smart Data Access federation + customer-facing apps. See the automations above for specifics.
What are the technical specifics of SAP Datasphere integration with Rayven?
Rayven uses SAP Datasphere's OData APIs, REST endpoints, SAP HANA Cloud SQL + JDBC/ODBC drivers for real-time bidirectional sync, authenticated via OAuth, SAML + SAP BTP credentials with per-tenant rotation. Replication Flows + ODP queues drive sub-second CDC from SAP S/4HANA, SAP SuccessFactors Payroll + non-SAP operational sources; Smart Data Access federates queries across Snowflake, BigQuery + non-SAP warehouses in a single pass. Datasphere semantic models - business names, hierarchies, calculated measures - preserve end-to-end so downstream CRM, AI agents + custom apps see SAP-native business meaning, not stripped rows. Spaces, row-level access + SAP HANA security travel through every flow. SAP BTP + on-prem source estates via SAP Cloud Connector + DP Agent reconcile through Rayven's customer-master layer. Claude + your AI agents query live semantic models through Rayven MCP. Validated against Datasphere Standard + Premium tiers + the Rayven Platform.
SAP + AI integration.
In weeks, not months.
Book a 30-minute call. Walk away with a tailored plan - what's reachable, what to bring in first, time + scope.