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Database ⇄ Data warehouse

SAP Hana to Snowflake integration — real-time, two-way sync

Keep SAP Hana and Snowflake in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect SAP Hana and Snowflake

Connect SAP Hana and Snowflake with one live, two-way sync: operational rows flow into the warehouse, and computed results flow back where systems can read them fast.

Operational databases and analytical warehouses want the same data at different moments. Analysts want SAP Hana's rows in Snowflake, 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 Snowflake in real time, and result tables in Snowflake sync back into SAP Hana, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Keep a customer 360 table aligned with its source systems in both directions instead of one-way reverse ETL
  • 02 Push product usage aggregates from Snowflake into sales and success tools for account prioritization
  • 03 Read SYS.TABLES and TABLE_COLUMNS system views to auto-discover schema and generate field mappings when new tables are added to the sync.
  • 04 Detect inserts, updates, and deletes on high-write tables via AFTER triggers or a last-modified column and replicate the deltas downstream near-real-time.

Common sync patterns

Operational data in the warehouse, minus the pipeline

Rows from SAP Hana land in Snowflake as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in Snowflake sync into SAP Hana, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between SAP Hana and Snowflake

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 Snowflake 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 within a database used to organize synced tables. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. Databases Top-level containers that scope which data a sync can touch. Calculation views is specific to SAP Hana and Databases to Snowflake — each maps to any object or custom field on the other side.
SQL views Standard database views; read-only projections synced outbound when the source data should not be exposed as raw base tables. Tables The main landing and activation target for synced records. SQL views is specific to SAP Hana and Tables to Snowflake — each maps to any object or custom field on the other side.
Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. Views Modeled projections used as the source side of outbound syncs. Sequences is specific to SAP Hana and Views to Snowflake — each maps to any object or custom field on the other side.
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. Materialized Views Precomputed results synced outward for low-latency reads. Triggers is specific to SAP Hana and Materialized Views to Snowflake — 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. Streams Row-level change records on a table, consumed to process deltas instead of full scans. System-versioned temporal tables is specific to SAP Hana and Streams to Snowflake — each maps to any object or custom field on the other side.

How changes propagate between SAP Hana and Snowflake

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.

SAP Hana Snowflake Sub-second propagation

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 Snowflake as a row-level write, with types converted between the two schemas.

Snowflake SAP Hana Sub-second propagation

DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.

DeliveryEach detected change is applied to SAP Hana as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • SAP Hana: No SaaS-style request quota; throughput is bounded by connection limits, statement memory caps, and workload-class admission control (concurrency/memory limits) that share capacity with production queries.
  • Snowflake: No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time.
What ships with SAP Hana ⇄ Snowflake

Connect SAP Hana and Snowflake for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every SAP Hana–Snowflake connection.

Real-time

Two-way sync

Changes in SAP Hana or Snowflake instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever SAP Hana or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single SAP Hana or Snowflake record.

Observability

Monitoring

Track your SAP Hana ⇄ Snowflake sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between SAP Hana and Snowflake.

How the SAP Hana and Snowflake connectors work

SAP Hana

Integration surface
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.
Change detection
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.
Capabilities
read · write · CDC
Rate limits
No SaaS-style request quota; throughput is bounded by connection limits, statement memory caps, and workload-class admission control (concurrency/memory limits) that share capacity with production queries.

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide
How it works

How to connect SAP Hana to Snowflake — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate SAP Hana and Snowflake with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    SAP Hana connected
    Snowflake connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the SAP Hana and Snowflake 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · SAP Hana ⇄ Snowflake
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    SAP Hana Snowflake
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

SAP Hana and Snowflake integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
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ISO 27001
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DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 581 integrations available for SAP Hana and Snowflake.

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