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Database ⇄ Data warehouse

SAP Hana to Yellowbrick integration — real-time, two-way sync

Keep SAP Hana and Yellowbrick in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect SAP Hana and Yellowbrick

Connect SAP Hana and Yellowbrick with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want SAP Hana's rows in Yellowbrick, current and joinable, without a change-data-capture pipeline to maintain. Engineers want the outputs of warehouse work, such as aggregates, features, and segments, available in SAP Hana where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in SAP Hana sync into Yellowbrick in real time, and result tables in Yellowbrick sync back into SAP Hana, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Push warehouse-computed aggregates or segments back into operational tools such as a CRM.
  • 02 Sync CRM and marketing data into Yellowbrick tables so it can be joined with large fact tables for enterprise BI.
  • 03 Detect inserts, updates, and deletes on high-write tables via AFTER triggers or a last-modified column and replicate the deltas downstream near-real-time.
  • 04 Read SYS.TABLES and TABLE_COLUMNS system views to auto-discover schema and generate field mappings when new tables are added to the sync.

Common sync patterns

Operational data in the warehouse, minus the pipeline

Rows from SAP Hana land in Yellowbrick as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Yellowbrick sync into SAP Hana, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between SAP Hana and Yellowbrick

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.

SAP Hana objects Yellowbrick objects How this pairing syncs
Schemas Namespaces that group tables and views; the connector targets a schema and enumerates its objects from the catalog to build the sync. Schemas Namespaces used to organize synced datasets by source or domain. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. Tables Columnar MPP tables; the primary targets for warehouse syncs. Calculation views is specific to SAP Hana and Tables to Yellowbrick — each maps to any object or custom field on the other side.
SQL views Standard database views; read-only projections synced outbound when the source data should not be exposed as raw base tables. Views Logical views used to shape reads for BI and downstream syncs. SQL views is specific to SAP Hana and Views to Yellowbrick — each maps to any object or custom field on the other side.
Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. Users and Roles Access-control objects that govern what a sync service account can read and write. Sequences is specific to SAP Hana and Users and Roles to Yellowbrick — each maps to any object or custom field on the other side.
Triggers AFTER INSERT/UPDATE/DELETE triggers capture changes into a shadow/logging table so updates and deletes are detected near-real-time without full scans. Databases Top-level containers for schemas and tables. Triggers is specific to SAP Hana and Databases to Yellowbrick — each maps to any object or custom field on the other side.

How changes propagate between SAP Hana and Yellowbrick

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.

SAP Hana Yellowbrick Sub-second propagation

DetectionChanges in SAP Hana are captured at the source via change data capture — no polling loop against its API. Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table.

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

Yellowbrick SAP Hana Interval-based propagation

DetectionStacksync polls Yellowbrick for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp columns.

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

Rate-limit considerations

  • SAP Hana: No SaaS-style request quota; throughput is bounded by connection limits, statement memory caps, and workload-class admission control (concurrency/memory limits) that share capacity with production queries.
  • Yellowbrick: No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
What ships with SAP Hana ⇄ Yellowbrick

Connect SAP Hana and Yellowbrick for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SAP Hana–Yellowbrick connection.

Real-time

Two-way sync

Changes in SAP Hana or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever SAP Hana or Yellowbrick 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 SAP Hana or Yellowbrick record.

Observability

Monitoring

Track your SAP Hana ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between SAP Hana and Yellowbrick.

How the SAP Hana and Yellowbrick connectors work

SAP Hana

Integration surface
SQL over the SAP HANA client (JDBC/ODBC drivers); OData/REST via XS for app-layer access
Authentication
Dedicated database user credentials over an encrypted TLS connection (password sent hashed); Kerberos, SAML, JWT, and X.509 certificate authentication are also supported. SAP HANA Cloud enforces TLS and IP allowlisting.
Change detection
Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table; system-versioned temporal tables and SLT/SDI provide trigger- and log-based CDC. No native webhooks.
Capabilities
read · write · CDC
Rate limits
No SaaS-style request quota; throughput is bounded by connection limits, statement memory caps, and workload-class admission control (concurrency/memory limits) that share capacity with production queries.

Yellowbrick

Integration surface
SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility
Authentication
Database credentials, with LDAP and Kerberos options in enterprise deployments
Change detection
Polling on timestamp columns; no exposed transaction-log CDC
Capabilities
read · write
Rate limits
No API rate limits; throughput depends on cluster sizing, and bulk loads should use ybload rather than row-by-row inserts.
How it works

How to connect SAP Hana to Yellowbrick — 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 SAP Hana and Yellowbrick 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
    SAP Hana connected
    Yellowbrick connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the SAP Hana and Yellowbrick 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 · SAP Hana ⇄ Yellowbrick
    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
    SAP Hana Yellowbrick
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

SAP Hana and Yellowbrick 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.

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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 465 integrations available for SAP Hana and Yellowbrick.

Popular · 4 of 465
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