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Database ⇄ Data warehouse

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

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

  • SOC 2 and 6 other compliance frameworks
  • 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 MariaDB and Materialize

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

Common use cases

  • Sync operational CRM or ERP data into Materialize so real-time views stay current without batch loads.
  • Read computed view results back into a CRM or application database as derived fields.
  • Feed a warehouse continuously from MariaDB using binlog-based capture instead of scheduled dumps
  • Keep several MariaDB instances aligned with one system of record across environments

Offload heavy reads

Point analytical queries at the synced copy in Materialize and keep MariaDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

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

Serve warehouse results at database speed

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

What you can sync between MariaDB and Materialize

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.

MariaDB objects Materialize objects
Stored Procedures Server-side logic that can post-process synced rows. Schemas & Databases Namespaces that organize objects a sync targets.
Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines.
Tables The primary sync target; rows map to records in connected systems. Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize.
Views Read-side projections used as outbound sync sources. Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets.
Columns Field-level mapping targets with engine-typed values. Sinks Outbound connections that emit view changes to Kafka topics.
Primary and Unique Keys Match keys for idempotent upserts. Indexes In-memory arrangements that make view reads fast for serving workloads.
What ships with MariaDB ⇄ Materialize

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MariaDB or Materialize 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 MariaDB or Materialize record.

Observability

Monitoring

Track your MariaDB ⇄ Materialize sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between MariaDB and Materialize.

How the MariaDB and Materialize connectors work

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

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC
How it works

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

    Choose tables

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

MariaDB and Materialize 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 MariaDB and Materialize.

Popular · 8 of 386
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