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Data warehouse

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

Keep Materialize and Tinybird 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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Migrated from MuleSoft
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Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Materialize and Tinybird

Keep tables consistent across Materialize and Tinybird, for a migration, a multi-warehouse stack, or a dataset two platforms both need.

Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.

Stacksync syncs tables between Materialize and Tinybird continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.

Common use cases

  • 01 Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
  • 02 Bridge streaming sources and non-streaming destinations by materializing joins across both.
  • 03 Compute aggregates in Tinybird and write the results back to CRM fields for scoring and routing.
  • 04 Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.

Common sync patterns

Shared datasets across teams

Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.

Consolidation after M&A

Bring the acquired company's warehouse data across continuously instead of through one-off dumps.

Migration without a big bang

When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.

What you can sync between Materialize and Tinybird

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.

Materialize objects Tinybird objects How this pairing syncs
Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Connections & Secrets Stored credentials and endpoints used by sources and sinks. Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. Connections & Secrets is specific to Materialize and Data Sources to Tinybird — each maps to any object or custom field on the other side.
Schemas & Databases Namespaces that organize objects a sync targets. Pipes Chained SQL nodes that transform Data Sources into query-ready results. Schemas & Databases is specific to Materialize and Pipes to Tinybird — each maps to any object or custom field on the other side.
Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. Tables is specific to Materialize and API Endpoints to Tinybird — each maps to any object or custom field on the other side.
Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. Sources is specific to Materialize and Workspaces to Tinybird — each maps to any object or custom field on the other side.
Sinks Outbound connections that emit view changes to Kafka topics. Tokens Scoped credentials that control read and append rights per resource. Sinks is specific to Materialize and Tokens to Tinybird — each maps to any object or custom field on the other side.

How changes propagate between Materialize and Tinybird

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.

Materialize Tinybird Sub-second propagation

DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.

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

Tinybird Materialize Interval-based propagation

DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.

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

Rate-limit considerations

  • Tinybird: Subject to the platform's ingestion and query rate limits; batch appends where possible.
What ships with Materialize ⇄ Tinybird

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the Materialize and Tinybird connectors work

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

Tinybird

Integration surface
REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
Authentication
Scoped auth tokens
Change detection
Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
Capabilities
read · write
Rate limits
Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works

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

    Choose tables

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

Materialize and Tinybird 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 364 integrations available for Materialize and Tinybird.

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