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Data warehouse ⇄ Database

ClickHouse to MariaDB integration — real-time, two-way sync

Keep ClickHouse and MariaDB 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 MariaDB

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

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

Common use cases

  • 01 Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • 02 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.
  • 03 Keep several MariaDB instances aligned with one system of record across environments
  • 04 Two-way sync between a MariaDB application database and a CRM so both systems hold the same customer records

Common sync patterns

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 MariaDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from MariaDB land in ClickHouse as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between ClickHouse and MariaDB

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 MariaDB objects How this pairing syncs
Views Saved queries used as curated, read-only sync sources. Views Read-side projections used as outbound sync sources. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. Dictionaries is specific to ClickHouse and System-Versioned Tables to MariaDB — 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. JSON Columns Semi-structured payloads validated with JSON functions. Tables (MergeTree family) is specific to ClickHouse and JSON Columns to MariaDB — each maps to any object or custom field on the other side.
Databases Namespaces that group tables and scope permissions for sync users. Stored Procedures Server-side logic that can post-process synced rows. Databases is specific to ClickHouse and Stored Procedures to MariaDB — each maps to any object or custom field on the other side.
Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. Materialized views is specific to ClickHouse and Databases (Schemas) to MariaDB — each maps to any object or custom field on the other side.
Distributed tables Query-routing tables over cluster shards in self-managed deployments. Tables The primary sync target; rows map to records in connected systems. Distributed tables is specific to ClickHouse and Tables to MariaDB — each maps to any object or custom field on the other side.

How changes propagate between ClickHouse and MariaDB

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

MariaDB ClickHouse Sub-second propagation

DetectionChanges in MariaDB are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing.

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

Rate-limit considerations

  • MariaDB: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with ClickHouse ⇄ MariaDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever ClickHouse or MariaDB 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 MariaDB record.

Observability

Monitoring

Track your ClickHouse ⇄ MariaDB 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 MariaDB.

How the ClickHouse and MariaDB 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

MariaDB

Integration surface
SQL wire protocol (MySQL-compatible client/server protocol)
Authentication
Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MariaDB setup guide
How it works

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

    Choose tables

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

ClickHouse and MariaDB 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
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
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 477 integrations available for ClickHouse and MariaDB.

Popular · 5 of 477
All ClickHouse integrations All MariaDB integrations Browse all integrations
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