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Data warehouse ⇄ Database

Snowflake to TiDB integration — real-time, two-way sync

Keep Snowflake and TiDB 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 Snowflake and TiDB

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

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

Common use cases

  • Push product usage aggregates from Snowflake into sales and success tools for account prioritization
  • Feed finance reconciliation models from ERP data landed in Snowflake on a continuous basis
  • Serve mixed transactional and analytical workloads on synced data using TiFlash columnar replicas
  • Two-way sync between TiDB tables and SaaS tools so operational edits made in either system converge

Serve warehouse results at database speed

Aggregates or model outputs computed in Snowflake sync into TiDB, 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 Snowflake and keep TiDB focused on its operational workload.

What you can sync between Snowflake and TiDB

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.

Snowflake objects TiDB objects
VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. Indexes Secondary indexes that keep incremental sync queries efficient.
Virtual Warehouses The compute a sync's queries run on, sized independently of storage. Sequences Server-side ID generation relevant when external systems write rows.
Databases Top-level containers that scope which data a sync can touch. Databases MySQL-style schemas addressed by any MySQL-compatible client.
Schemas Namespaces within a database used to organize synced tables. Tables Row data stored in TiKV; the primary unit for reads, writes, and CDC.
Tables The main landing and activation target for synced records. Views Logical views for shaping reads before syncing outward.
Views Modeled projections used as the source side of outbound syncs. Columns MySQL-compatible types mapped to fields in the paired system.
What ships with Snowflake ⇄ TiDB

Connect Snowflake and TiDB for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Snowflake or TiDB instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Snowflake or TiDB 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 Snowflake or TiDB record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Snowflake and TiDB.

How the Snowflake and TiDB connectors work

Snowflake

Integration surface
SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API
Authentication
Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles
Change detection
Not explicitly stated; the setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism
Capabilities
read · write · CDC
Rate limits
No conventional API rate limits; cost and throughput are governed by virtual warehouse size and running time
Snowflake setup guide

TiDB

Integration surface
MySQL wire protocol (SQL)
Authentication
Database credentials (MySQL-compatible username/password)
Change detection
Log-based CDC via TiCDC, which captures row changes from TiKV and streams them to downstream sinks; polling also works
Capabilities
read · write · CDC
Rate limits
Throughput scales with cluster size rather than fixed API quotas
How it works

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

    Choose tables

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

Snowflake and TiDB 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 Snowflake and TiDB.

Popular · 8 of 386
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