Two-way sync
Changes in SAP Hana or Supabase instantly reflect in both systems. No stale data, no manual imports.
Keep SAP Hana and Supabase in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two databases that must agree is one of the oldest problems in engineering: different engines for different workloads, separate services with overlapping reference data, a migration in flight, or regional instances that share a subset of records. Hand-rolled replication across systems means change capture, conflict handling, and type mapping, all built and maintained by your team.
Stacksync syncs tables or collections between SAP Hana and Supabase continuously and bi-directionally, translating types between the two engines and resolving conflicts by rules you configure. Rows written on either side appear on the other within seconds.
Services that own separate databases stay consistent on the records they share, without a custom replication layer.
Mirror selected tables to another region or environment continuously, filtered to just the rows that should travel.
Keep the same dataset live in both SAP Hana and Supabase, so each workload runs on the engine that suits it.
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.
| SAP Hana objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that group tables and views; the connector targets a schema and enumerates its objects from the catalog to build the sync. | Schemas Namespaces (public and custom) that scope sync access. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. Custom fields on either side are included in the mapping. | |
| 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. | Tables Standard Postgres tables; the primary two-way sync target. | Triggers is specific to SAP Hana and Tables to Supabase — each maps to any object or custom field on the other side. | |
| 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. | Views Read-side projections exposed to outbound syncs. | System-versioned temporal tables is specific to SAP Hana and Views to Supabase — each maps to any object or custom field on the other side. | |
| 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. | auth.users Managed authentication users, often mirrored into CRM or support systems. | System views (SYS schema) is specific to SAP Hana and auth.users to Supabase — each maps to any object or custom field on the other side. | |
| 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. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Column store tables is specific to SAP Hana and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| 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. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Row store tables is specific to SAP Hana and JSONB Columns to Supabase — 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.
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 Supabase as a row-level write, with types converted between the two schemas.
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
DeliveryEach detected change is applied to SAP Hana as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SAP Hana–Supabase connection.
Changes in SAP Hana or Supabase instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever SAP Hana or Supabase data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single SAP Hana or Supabase record.
Track your SAP Hana ⇄ Supabase sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between SAP Hana and Supabase.
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 SAP Hana and Supabase 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 SAP Hana and Supabase 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 SAP Hana and Supabase: authenticate both systems, choose the objects to sync (such as SAP Hana's Schemas and Triggers), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the SAP Hana side: Sequences, Triggers, System-versioned temporal tables, System views (SYS schema), plus custom fields where SAP Hana exposes them. On the Supabase side: JSONB Columns, Database Functions, Storage Object Metadata, Tables. 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 SAP Hana and Supabase: Shared reference data between services; Regional or environment copies; Cross-engine sync. Services that own separate databases stay consistent on the records they share, without a custom replication layer.
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. Supabase: Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST). Authentication: Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer. Stacksync manages authentication, retries, and rate limits on both sides.
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. Supabase: Supabase Realtime is built on the Postgres write-ahead log, streaming row changes over websockets. Stacksync's field mapping accounts for these differences between SAP Hana and Supabase without custom code.
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 574 integrations available for SAP Hana and Supabase.