Skip to content
Data warehouse ⇄ Database

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

Keep StarRocks and Supabase 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 StarRocks and Supabase

Connect Supabase 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 Supabase'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 Supabase where the services that read from it get them at normal query latency.

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

Common use cases

  • 01 Continuously apply upserts from operational databases into Primary Key tables to keep analytics current
  • 02 Serve customer-facing analytics from SaaS data synced into one analytical store
  • 03 Sync application tables in Supabase with the CRM two-way so new signups appear as contacts and sales edits flow back to the app
  • 04 Mirror billing and subscription records into Supabase tables the application can join directly

Common sync patterns

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 StarRocks and keep Supabase focused on its operational workload.

Operational data in the warehouse, minus the pipeline

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

What you can sync between StarRocks and Supabase

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.

StarRocks objects Supabase objects How this pairing syncs
Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. Tables Standard Postgres tables; the primary two-way sync target. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Logical views for shaping analytical reads. Views Read-side projections exposed to outbound syncs. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Columns Columnar storage with types mapped from source systems during sync. Storage Object Metadata File metadata rows that can be joined to synced application data. Columns is specific to StarRocks and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side.
Databases Top-level namespaces addressed exactly as in MySQL clients. Schemas Namespaces (public and custom) that scope sync access. Databases is specific to StarRocks and Schemas to Supabase — each maps to any object or custom field on the other side.
Materialized views Automatically maintained rollups used to accelerate queries on synced data. auth.users Managed authentication users, often mirrored into CRM or support systems. Materialized views is specific to StarRocks and auth.users to Supabase — each maps to any object or custom field on the other side.
Partitions Time or range partitions that scope loads and retention. Row Level Security Policies Row-level access rules that govern what the REST layer exposes. Partitions is specific to StarRocks and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side.

How changes propagate between StarRocks and Supabase

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.

StarRocks Supabase 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 Supabase as a row-level write, with types converted between the two schemas.

Supabase StarRocks Sub-second propagation

DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.

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

Rate-limit considerations

  • StarRocks: Ingestion throughput is bounded by cluster resources rather than API quotas.
  • Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with StarRocks ⇄ Supabase

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

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

Observability

Monitoring

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

Trading partners

EDI

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

How the StarRocks and Supabase connectors work

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

Supabase

Integration surface
Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
Authentication
Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
Change detection
Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
Capabilities
read · write · CDC · webhooks
Rate limits
SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works

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

    Choose tables

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

StarRocks and Supabase 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 468 integrations available for StarRocks and Supabase.

Popular · 5 of 468
All StarRocks integrations All Supabase 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