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Data warehouse ⇄ Database

ClickHouse to IBM Db2 integration — real-time, two-way sync

Keep ClickHouse and IBM Db2 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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  • POC with real engineers in minutes

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

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Why teams connect ClickHouse and IBM Db2

Connect IBM Db2 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 IBM Db2'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 IBM Db2 where the services that read from it get them at normal query latency.

Stacksync covers both directions with one connection. Tables or collections in IBM Db2 sync into ClickHouse in real time, and result tables in ClickHouse sync back into IBM Db2, with schema and type mapping between the two systems handled for you.

Common use cases

  • Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • Expose Db2 records that back core business systems to a CRM so sales and support see order or account state.
  • Sync SaaS data into Db2 tables that existing enterprise applications and reports already consume.

Serve warehouse results at database speed

Aggregates or model outputs computed in ClickHouse sync into IBM Db2, 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.

Offload heavy reads

Point analytical queries at the synced copy in ClickHouse and keep IBM Db2 focused on its operational workload.

What you can sync between ClickHouse and IBM Db2

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 IBM Db2 objects
Views Saved queries used as curated, read-only sync sources. Schemas Namespaces separating synced data from application and system objects.
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Tables Primary read/write target for syncing rows with SaaS systems or other databases.
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Views Read-only projections often used to expose curated slices to a sync.
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Indexes Support fast key lookups on sync match columns.
Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Stored Procedures Existing business logic sometimes invoked as part of write paths.
Databases Namespaces that group tables and scope permissions for sync users. Sequences ID generation relevant when external systems insert rows.
What ships with ClickHouse ⇄ IBM Db2

Connect ClickHouse and IBM Db2 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every ClickHouse–IBM Db2 connection.

Real-time

Two-way sync

Changes in ClickHouse or IBM Db2 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse or IBM Db2 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 IBM Db2 record.

Observability

Monitoring

Track your ClickHouse ⇄ IBM Db2 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 IBM Db2.

How the ClickHouse and IBM Db2 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

IBM Db2

Integration surface
SQL via JDBC/ODBC/CLI drivers; optional REST endpoints in some editions
Authentication
Database credentials, typically backed by OS or LDAP authentication
Change detection
Log-based CDC through IBM's replication tooling where licensed; otherwise polling on timestamp or audit columns
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by instance resources and workload management settings
How it works

How to connect ClickHouse to IBM Db2 — 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 IBM Db2 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
    IBM Db2 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the ClickHouse and IBM Db2 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 ⇄ IBM Db2
    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 IBM Db2
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

ClickHouse and IBM Db2 integration FAQ

SECURITY

Security teams love 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
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:

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 386 integrations available for ClickHouse and IBM Db2.

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