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Data warehouse ⇄ Database

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

Keep ClickHouse 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.

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Why teams connect ClickHouse and SAP Hana

Connect SAP Hana and ClickHouse 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 ClickHouse, 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 ClickHouse in real time, and result tables in ClickHouse sync back into SAP Hana, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • 02 Sync aggregated ClickHouse query results back into operational tools, such as account-level usage metrics into a CRM.
  • 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 ClickHouse as they change, replacing hand-built CDC and batch extract jobs.

Serve warehouse results at database speed

Aggregates or model outputs computed in ClickHouse 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 ClickHouse and SAP Hana

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.

ClickHouse objects SAP Hana objects How this pairing syncs
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. Distributed tables is specific to ClickHouse and Calculation views to SAP Hana — each maps to any object or custom field on the other side.
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. SQL views Standard database views; read-only projections synced outbound when the source data should not be exposed as raw base tables. Dictionaries is specific to ClickHouse and SQL views to SAP Hana — each maps to any object or custom field on the other side.
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Schemas Namespaces that group tables and views; the connector targets a schema and enumerates its objects from the catalog to build the sync. Tables (MergeTree family) is specific to ClickHouse and Schemas to SAP Hana — each maps to any object or custom field on the other side.
Databases Namespaces that group tables and scope permissions for sync users. Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. Databases is specific to ClickHouse and Sequences to SAP Hana — each maps to any object or custom field on the other side.
Views Saved queries used as curated, read-only sync sources. 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. Views is specific to ClickHouse and Triggers to SAP Hana — each maps to any object or custom field on the other side.
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. 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 ClickHouse and System-versioned temporal tables to SAP Hana — each maps to any object or custom field on the other side.

How changes propagate between ClickHouse and SAP Hana

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.

ClickHouse SAP Hana Interval-based propagation

DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.

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

SAP Hana ClickHouse 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 ClickHouse 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.
What ships with ClickHouse ⇄ SAP Hana

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse or SAP Hana 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 ClickHouse or SAP Hana record.

Observability

Monitoring

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

Trading partners

EDI

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

How the ClickHouse and SAP Hana connectors work

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write

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.
How it works

How to connect ClickHouse to SAP Hana — 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 ClickHouse 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.

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

    Choose tables

    Pick the ClickHouse 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · ClickHouse ⇄ SAP Hana
    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
    ClickHouse SAP Hana
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

ClickHouse and SAP Hana 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 574 integrations available for ClickHouse and SAP Hana.

Popular · 7 of 574
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