Two-way sync
Changes in Amazon Redshift or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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 Amazon Redshift, 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 Amazon Redshift in real time, and result tables in Amazon Redshift sync back into SAP Hana, with schema and type mapping between the two systems handled for you.
Rows from SAP Hana land in Amazon Redshift as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in Amazon Redshift 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.
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.
| Amazon Redshift objects | SAP Hana objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces used to organize synced tables and control grants. | 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. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. | Tables is specific to Amazon Redshift and Calculation views to SAP Hana — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse syncs. | 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 Amazon Redshift and SQL views to SAP Hana — each maps to any object or custom field on the other side. | |
| Materialized Views Precomputed results that downstream syncs can read for performance. | 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 Amazon Redshift and Sequences to SAP Hana — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | 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. | External Tables (Spectrum) is specific to Amazon Redshift and Triggers to SAP Hana — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | 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. | Stored Procedures is specific to Amazon Redshift and System-versioned temporal 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 Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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 Amazon Redshift as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon Redshift–SAP Hana connection.
Changes in Amazon Redshift or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Amazon Redshift or SAP Hana record.
Track your Amazon Redshift ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift and SAP Hana: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Schemas and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. 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.
Amazon Redshift: Its SQL dialect derives from PostgreSQL, so standard Postgres drivers connect, though not all Postgres features exist. SAP Hana: Connections are governed by workload classes and admission control, so heavy sync concurrency competes with production query load and can be throttled by memory and thread caps. Stacksync's field mapping accounts for these differences between Amazon Redshift 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 Amazon Redshift 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 Amazon Redshift and SAP Hana connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Amazon Redshift–SAP Hana integration in-house.
Yes — Stacksync ships production-grade connectors for both Amazon Redshift and SAP Hana. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 576 integrations available for Amazon Redshift and SAP Hana.