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Data warehouse

Connect StarRocks to any app with two-way sync.

Two-way sync StarRocks across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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 Fivetran
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Object catalog

What Stacksync syncs in StarRocks.

These objects sync between StarRocks and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where StarRocks exposes them.

Databases
Top-level namespaces addressed exactly as in MySQL clients.
Tables
Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior.
Materialized views
Automatically maintained rollups used to accelerate queries on synced data.
Views
Logical views for shaping analytical reads.
Partitions
Time or range partitions that scope loads and retention.
Columns
Columnar storage with types mapped from source systems during sync.
API surface

How Stacksync connects to StarRocks.

The connector runs on StarRocks's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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
Rate limits
Ingestion throughput is bounded by cluster resources rather than API quotas

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Not available
What ships with StarRocks

Connect StarRocks for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in StarRocks instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 StarRocks record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the StarRocks connector.

Data engineering and platform teams adopt StarRocks as the serving layer for customer-facing analytics, real-time dashboards, and lakehouse queries, where sub-second response on large, frequently updated datasets is the requirement. The vendor positions it as one engine for real-time, lakehouse, and AI workloads. It sits downstream of operational systems: analytical copies of CRM, ERP, and event data accumulate in its Tables and Materialized views, which makes load pipelines the critical dependency.

  • Data engineering
  • Analytics engineering
  • Platform engineering

  1. Land CRM and ERP records into StarRocks to serve low-latency operational dashboards

  2. Continuously apply upserts from operational databases into Primary Key tables to keep analytics current

  3. Serve customer-facing analytics from SaaS data synced into one analytical store

  4. Consolidate several sources into StarRocks as the query layer while Stacksync handles movement

  5. Continuously replicate operational records into StarRocks Tables over the Stream Load API so dashboards query fresh data, with dependent Materialized views refreshing automatically as loads commit.

  6. Propagate updates and deletes from source systems into Primary Key tables so the warehouse reflects record-level state rather than append-only history.

All StarRocks integrations

Pick the system you need to keep in sync with StarRocks. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 30

ERP · 25

Database · 13

Data warehouse · 10

Business productivity · 31

Accounting and finance · 13

How it works

Set up StarRocks in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the StarRocks objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

StarRocks connector FAQ

What can I sync with the StarRocks connector?

StarRocks's core objects — Databases, Tables, Materialized views, Views and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to StarRocks?

Via MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion, authenticated with Database credentials (MySQL-compatible username/password). Changes are detected as follows — query-based polling when reading; StarRocks is most often the destination side of a sync. Stacksync manages rate limits, retries, and schema changes automatically.

Is the StarRocks connector two-way?

Yes. Changes made in StarRocks propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a StarRocks integration take to set up?

Most StarRocks integrations go live in minutes: authenticate StarRocks and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is StarRocks data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. StarRocks data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
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