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Database ⇄ Data warehouse

SQL Server to Tinybird integration — real-time, two-way sync

Keep SQL Server 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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Why teams connect SQL Server and Tinybird

Connect SQL Server and Tinybird 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 SQL Server's rows in Tinybird, 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 SQL Server where the services that read from it get them at normal query latency.

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

Common use cases

  • Compute aggregates in Tinybird and write the results back to CRM fields for scoring and routing.
  • Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.
  • Expose SaaS records as SQL Server tables that existing SSRS reports and internal apps can query
  • Mirror on-premises ERP data held in SQL Server into cloud CRM and support systems

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 Tinybird and keep SQL Server focused on its operational workload.

Operational data in the warehouse, minus the pipeline

Rows from SQL Server land in Tinybird as they change, replacing hand-built CDC and batch extract jobs.

What you can sync between SQL Server 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.

SQL Server objects Tinybird objects
Views Read-side projections used as outbound sync sources. Pipes Chained SQL nodes that transform Data Sources into query-ready results.
Columns Field-level mapping targets with T-SQL types. API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface.
Primary and Unique Keys Match keys for idempotent upserts and conflict handling. Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time.
CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync.
Stored Procedures T-SQL logic that can validate or post-process synced rows. Tokens Scoped credentials that control read and append rights per resource.
Databases Instance-level databases that scope a sync's reads and writes. Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird.
What ships with SQL Server ⇄ Tinybird

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever SQL Server 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 SQL Server or Tinybird record.

Observability

Monitoring

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

Trading partners

EDI

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

How the SQL Server and Tinybird connectors work

SQL Server

Integration surface
SQL over the TDS wire protocol (Tabular Data Stream), via ODBC/JDBC/ADO.NET drivers
Authentication
Database credentials entered as a connection string or as parameters (host/user/password) in the Create New Sync page
Change detection
SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput depends on instance resources, licensing tier, and connection limits
SQL Server setup guide

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 SQL Server 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 SQL Server 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
    SQL Server connected
    Tinybird connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

SQL Server and Tinybird 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 SQL Server and Tinybird.

Popular · 8 of 386
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