Two-way sync
Changes in AWS S3 or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep AWS S3 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 AWS S3, 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 AWS S3 in real time, and result tables in AWS S3 sync back into SAP Hana, with schema and type mapping between the two systems handled for you.
Point analytical queries at the synced copy in AWS S3 and keep SAP Hana focused on its operational workload.
Rows from SAP Hana land in AWS S3 as they change, replacing hand-built CDC and batch extract jobs.
Aggregates or model outputs computed in AWS S3 sync into SAP Hana, where whatever reads from that database gets them without querying the warehouse.
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.
| AWS S3 objects | SAP Hana objects | How this pairing syncs | |
|---|---|---|---|
| Multipart Uploads The mechanism used to write large export files reliably. | 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. | Multipart Uploads is specific to AWS S3 and Triggers to SAP Hana — each maps to any object or custom field on the other side. | |
| Buckets Top-level containers a sync targets; region and policy are set at this level. | 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. | Buckets is specific to AWS S3 and System-versioned temporal tables to SAP Hana — each maps to any object or custom field on the other side. | |
| Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. | 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. | Objects is specific to AWS S3 and System views (SYS schema) to SAP Hana — each maps to any object or custom field on the other side. | |
| Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. | 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. | Prefixes is specific to AWS S3 and Column store tables to SAP Hana — each maps to any object or custom field on the other side. | |
| Object Metadata System and user-defined metadata read alongside object contents. | 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. | Object Metadata is specific to AWS S3 and Row store tables to SAP Hana — each maps to any object or custom field on the other side. | |
| Object Versions Prior copies retained when versioning is enabled, relevant for reprocessing. | Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. | Object Versions is specific to AWS S3 and Calculation views 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.
DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.
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 written to AWS S3 through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–SAP Hana connection.
Changes in AWS S3 or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS S3 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 AWS S3 or SAP Hana record.
Track your AWS S3 ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS S3 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 AWS S3 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 AWS S3 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 AWS S3 and SAP Hana: authenticate both systems, choose the objects to sync (such as AWS S3's Multipart Uploads and Buckets), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both AWS S3 and SAP Hana. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS S3: S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback. 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 AWS S3 side: Objects, Prefixes, Object Metadata, Object Versions, plus custom fields where AWS S3 exposes them. On the SAP Hana side: Row store tables, Calculation views, SQL views, Schemas. 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 AWS S3 and SAP Hana: Offload heavy reads; Operational data in the warehouse, minus the pipeline; Serve warehouse results at database speed. Point analytical queries at the synced copy in AWS S3 and keep SAP Hana focused on its operational workload.
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 577 integrations available for AWS S3 and SAP Hana.