Skip to content
Database ⇄ Data warehouse

MySQL to StarRocks integration — real-time, two-way sync

Keep MySQL and StarRocks 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

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect MySQL and StarRocks

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

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

Common use cases

  • 01 Serve customer-facing analytics from SaaS data synced into one analytical store
  • 02 Consolidate several sources into StarRocks as the query layer while Stacksync handles movement
  • 03 Replicate ERP master data (customers, items, pricing) into the MySQL databases behind storefronts and portals
  • 04 Keep e-commerce orders in MySQL flowing into finance and fulfillment systems without export scripts

Common sync patterns

Operational data in the warehouse, minus the pipeline

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

Serve warehouse results at database speed

Aggregates or model outputs computed in StarRocks sync into MySQL, 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.

What you can sync between MySQL and StarRocks

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.

MySQL objects StarRocks objects How this pairing syncs
Tables The primary sync target; rows map to records in connected systems. Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Read-side projections used as outbound sync sources. Views Logical views for shaping analytical reads. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Columns Field-level mapping targets with engine-typed values. Columns Columnar storage with types mapped from source systems during sync. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
JSON Columns Validated semi-structured payloads for nested SaaS data. Partitions Time or range partitions that scope loads and retention. JSON Columns is specific to MySQL and Partitions to StarRocks — each maps to any object or custom field on the other side.
Stored Procedures Server-side logic that can post-process synced rows. Databases Top-level namespaces addressed exactly as in MySQL clients. Stored Procedures is specific to MySQL and Databases to StarRocks — each maps to any object or custom field on the other side.
Triggers An alternative change-capture mechanism when binlog access is unavailable. Materialized views Automatically maintained rollups used to accelerate queries on synced data. Triggers is specific to MySQL and Materialized views to StarRocks — each maps to any object or custom field on the other side.

How changes propagate between MySQL and StarRocks

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.

MySQL StarRocks Sub-second propagation

DetectionChanges in MySQL 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 (requires log_bin_trust_function_creators=ON when.

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

StarRocks MySQL Interval-based propagation

DetectionStacksync polls StarRocks for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling when reading.

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

Rate-limit considerations

  • MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
  • StarRocks: Ingestion throughput is bounded by cluster resources rather than API quotas.
What ships with MySQL ⇄ StarRocks

Connect MySQL and StarRocks for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in MySQL or StarRocks instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever MySQL or StarRocks 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 MySQL or StarRocks record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between MySQL and StarRocks.

How the MySQL and StarRocks connectors work

MySQL

Integration surface
SQL wire protocol (MySQL client/server protocol)
Authentication
Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
Change detection
Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by connection limits and server resources
MySQL setup guide

StarRocks

Integration surface
MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion
Authentication
Database credentials (MySQL-compatible username/password)
Change detection
Query-based polling when reading; StarRocks is most often the destination side of a sync
Capabilities
read · write
Rate limits
Ingestion throughput is bounded by cluster resources rather than API quotas
How it works

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

    Choose tables

    Pick the MySQL and StarRocks 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 · MySQL ⇄ StarRocks
    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
    MySQL StarRocks
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

MySQL and StarRocks 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
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 474 integrations available for MySQL and StarRocks.

Popular · 4 of 474
All MySQL integrations All StarRocks integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own