Two-way sync
Changes in IBM Netezza or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep IBM Netezza 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 IBM Netezza, 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 IBM Netezza in real time, and result tables in IBM Netezza 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 IBM Netezza and keep SAP Hana focused on its operational workload.
Rows from SAP Hana land in IBM Netezza 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.
| IBM Netezza objects | SAP Hana objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespace tables within a database. | 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. | |
| Sequences Key generators referenced when writing new rows. | Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Materialized views Precomputed results sometimes used as efficient read sources. | 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. | Materialized views is specific to IBM Netezza and System-versioned temporal tables to SAP Hana — each maps to any object or custom field on the other side. | |
| External tables File-backed load/unload paths used for bulk movement alongside row-level 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 IBM Netezza and System views (SYS schema) to SAP Hana — each maps to any object or custom field on the other side. | |
| Databases Top-level containers that scope a sync connection. | 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. | Databases is specific to IBM Netezza and Column store tables to SAP Hana — each maps to any object or custom field on the other side. | |
| Tables Distributed tables mapped directly to sync targets. | Row store tables OLTP-oriented tables held fully in memory; read and written the same way through the SAP HANA client for high-write operational tables. | Tables is specific to IBM Netezza and Row 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 IBM Netezza for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key-based cursors.
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 IBM Netezza as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every IBM Netezza–SAP Hana connection.
Changes in IBM Netezza or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever IBM Netezza 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 IBM Netezza or SAP Hana record.
Track your IBM Netezza ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between IBM Netezza 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 IBM Netezza 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 IBM Netezza 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 IBM Netezza and SAP Hana: authenticate both systems, choose the objects to sync (such as IBM Netezza's Schemas and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for IBM Netezza and SAP Hana: Fresh analytics without loading windows; Offload heavy reads; Operational data in the warehouse, minus the pipeline. Because changes stream continuously, analysts query current data instead of waiting for last night's load.
IBM Netezza: SQL over JDBC/ODBC (Netezza's SQL dialect derives from PostgreSQL). Authentication: Database credentials. 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.
IBM Netezza: Netezza's SQL dialect and catalog derive from PostgreSQL, so Postgres-familiar tooling and drivers adapt readily. SAP Hana: Polling change detection requires a last-modified timestamp column; without one, triggers or system-versioned temporal tables are needed to catch updates and deletes. Stacksync's field mapping accounts for these differences between IBM Netezza 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 IBM Netezza 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 IBM Netezza and SAP Hana connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom IBM Netezza–SAP Hana integration in-house.
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.
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Every pair below is a real-time, two-way sync. Search all 473 integrations available for IBM Netezza and SAP Hana.