Two-way sync
Changes in MotherDuck or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep MotherDuck and SAP Hana in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Operational databases and analytical warehouses want the same data at different moments. Analysts want SAP Hana's rows in MotherDuck, 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 MotherDuck in real time, and result tables in MotherDuck sync back into SAP Hana, with schema and type mapping between the two systems handled for you.
Aggregates or model outputs computed in MotherDuck sync into SAP Hana, where whatever reads from that database gets them without querying the warehouse.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in MotherDuck and keep SAP Hana focused on its operational workload.
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.
| MotherDuck objects | SAP Hana objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces within a database used to organize synced tables. | Schemas Namespaces that group tables and views; the connector targets a schema and enumerates its objects from the catalog to build the sync. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. | Attached Local DuckDB Databases is specific to MotherDuck and Sequences to SAP Hana — each maps to any object or custom field on the other side. | |
| Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | 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 is specific to MotherDuck and Triggers to SAP Hana — each maps to any object or custom field on the other side. | |
| Tables The main landing target for synced records and source for analysis. | System-versioned temporal tables Column store tables with a history table tracking each row's validity period; used to reconstruct update and delete history for change capture. | Tables is specific to MotherDuck and System-versioned temporal tables to SAP Hana — each maps to any object or custom field on the other side. | |
| Views Modeled projections used as outbound sync sources. | System views (SYS schema) Catalog and monitoring views such as SYS.TABLES and TABLE_COLUMNS; read to discover schema and auto-generate field mappings for new tables. | Views is specific to MotherDuck and System views (SYS schema) to SAP Hana — each maps to any object or custom field on the other side. | |
| Database Shares Read-only copies of a database shared with other users or teams. | Column store tables HANA's default table type, optimized for analytics; synced two-way as rows over the SQL interface with the primary key driving upserts and delete tracking. | Database Shares is specific to MotherDuck and Column store tables to SAP Hana — 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.
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is applied to SAP Hana as a row-level write, with types converted between the two schemas.
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 MotherDuck as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MotherDuck–SAP Hana connection.
Changes in MotherDuck or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MotherDuck or SAP Hana data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MotherDuck or SAP Hana record.
Track your MotherDuck ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MotherDuck and SAP Hana.
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 MotherDuck and SAP Hana 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 MotherDuck and SAP Hana 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 MotherDuck and SAP Hana: authenticate both systems, choose the objects to sync (such as MotherDuck's Schemas and Attached Local DuckDB Databases), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on MotherDuck: Polling; no log-based CDC or webhook surface is exposed. On SAP Hana: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the MotherDuck side: Schemas, Tables, Views, Database Shares, plus custom fields where MotherDuck exposes them. On the SAP Hana side: Column store tables, Row store tables, Calculation views, SQL views. 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.
Common patterns for MotherDuck and SAP Hana: Serve warehouse results at database speed; Fresh analytics without loading windows; Offload heavy reads. Aggregates or model outputs computed in MotherDuck sync into SAP Hana, where whatever reads from that database gets them without querying the warehouse.
MotherDuck: SQL through DuckDB clients and drivers using a MotherDuck (md:) connection. Authentication: Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults. SAP Hana: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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 483 integrations available for MotherDuck and SAP Hana.