Two-way sync
Changes in Azure Synapse Analytics or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Synapse Analytics 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 Azure Synapse Analytics, 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 Azure Synapse Analytics in real time, and result tables in Azure Synapse Analytics sync back into SAP Hana, with schema and type mapping between the two systems handled for you.
Because changes stream continuously, analysts query current data instead of waiting for last night's load.
Point analytical queries at the synced copy in Azure Synapse Analytics and keep SAP Hana focused on its operational workload.
Rows from SAP Hana land in Azure Synapse Analytics as they change, replacing hand-built CDC and batch extract jobs.
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.
| Azure Synapse Analytics objects | SAP Hana objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that separate staging, integration, and presentation layers. | 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. | |
| Views Curated projections used when downstream tools should not read base tables directly. | SQL views Standard database views; read-only projections synced outbound when the source data should not be exposed as raw base tables. | Views is specific to Azure Synapse Analytics and SQL views to SAP Hana — each maps to any object or custom field on the other side. | |
| Materialized views Precomputed aggregates that speed reads of frequently synced result sets. | Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. | Materialized views is specific to Azure Synapse Analytics and Sequences to SAP Hana — each maps to any object or custom field on the other side. | |
| SQL pools Dedicated or serverless compute contexts that determine how and where queries run. | 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. | SQL pools is specific to Azure Synapse Analytics and Triggers to SAP Hana — each maps to any object or custom field on the other side. | |
| Tables (dedicated SQL pool) Distributed warehouse tables that serve as sync destinations for analytics workloads. | 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 (dedicated SQL pool) is specific to Azure Synapse Analytics and System-versioned temporal tables to SAP Hana — each maps to any object or custom field on the other side. | |
| External tables Tables over files in the data lake, queried through serverless SQL and often read-only in syncs. | 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. | External tables is specific to Azure Synapse Analytics and System views (SYS schema) 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 Azure Synapse Analytics for changes on an incremental schedule, reading only records changed since the previous pass. Polling on watermark columns.
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 Azure Synapse Analytics as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Synapse Analytics–SAP Hana connection.
Changes in Azure Synapse Analytics or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Synapse Analytics 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 Azure Synapse Analytics or SAP Hana record.
Track your Azure Synapse Analytics ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics 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 Azure Synapse Analytics and SAP Hana: authenticate both systems, choose the objects to sync (such as Azure Synapse Analytics's Schemas and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Azure Synapse Analytics: Batch-style loading (staged, set-based inserts) performs far better than row-by-row writes, which shapes how a sync should deliver data into it. SAP Hana: Tables need a primary key for reliable upserts and delete tracking; keyless tables require a synthetic key or full-table comparison. Stacksync's field mapping accounts for these differences between Azure Synapse Analytics and SAP Hana without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Azure Synapse Analytics and SAP Hana records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Synapse Analytics and SAP Hana connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Synapse Analytics–SAP Hana integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Synapse Analytics and SAP Hana. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Synapse Analytics: Polling on watermark columns; Synapse SQL pools do not expose log-based CDC for downstream consumers. 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.
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 575 integrations available for Azure Synapse Analytics and SAP Hana.