Real-time
Two-way sync
Changes in Materialize or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Materialize to StarRocks integration — real-time, two-way sync
Keep Materialize 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 Materialize and StarRocks
Keep tables consistent across Materialize and StarRocks, for a migration, a multi-warehouse stack, or a dataset two platforms both need.
Companies end up with two warehouses for practical reasons: a migration in progress, teams that standardized on different platforms, an acquisition, or tools that only connect to one of them. The result is the same dataset maintained twice, with duplicated pipelines and numbers that almost match.
Stacksync syncs tables between Materialize and StarRocks continuously, in either or both directions. Rows changed on one platform appear on the other within seconds, with schema and type mapping handled, so both warehouses answer questions with the same data.
Common use cases
- 01 Read computed view results back into a CRM or application database as derived fields.
- 02 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
- 03 Continuously apply upserts from operational databases into Primary Key tables to keep analytics current
- 04 Serve customer-facing analytics from SaaS data synced into one analytical store
Common sync patterns
Migration without a big bang
When one platform is replacing the other, keep tables mirrored while workloads move over gradually, and cut over with nothing to backfill.
Serve tools that only connect to one platform
Mirror the datasets a BI tool, notebook, or application needs onto the platform it can actually reach.
Shared datasets across teams
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
What you can sync between Materialize 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.
| Materialize objects | StarRocks objects | How this pairing syncs | |
|---|---|---|---|
| Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | 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. | |
| Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Indexes In-memory arrangements that make view reads fast for serving workloads. | Databases Top-level namespaces addressed exactly as in MySQL clients. | Indexes is specific to Materialize and Databases to StarRocks — each maps to any object or custom field on the other side. | |
| Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Views Logical views for shaping analytical reads. | Clusters is specific to Materialize and Views to StarRocks — each maps to any object or custom field on the other side. | |
| Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Partitions Time or range partitions that scope loads and retention. | Connections & Secrets is specific to Materialize and Partitions to StarRocks — each maps to any object or custom field on the other side. | |
| Schemas & Databases Namespaces that organize objects a sync targets. | Columns Columnar storage with types mapped from source systems during sync. | Schemas & Databases is specific to Materialize and Columns to StarRocks — each maps to any object or custom field on the other side. |
How changes propagate between Materialize 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.
Materialize StarRocks Sub-second propagation
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
DeliveryEach detected change is applied to StarRocks as a row-level write, with types converted between the two schemas.
StarRocks Materialize 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 Materialize 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.
What ships with Materialize ⇄ StarRocks
Connect Materialize and StarRocks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–StarRocks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Materialize 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 Materialize or StarRocks record.
Observability
Monitoring
Track your Materialize ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Materialize and StarRocks.
How the Materialize and StarRocks connectors work
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
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 Materialize 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.
- 01
Connect your apps
Authenticate Materialize 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.
Materialize
connected
StarRocks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Materialize 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.
objects · Materialize ⇄ StarRocksCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Materialize StarRocksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Materialize and StarRocks integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Materialize and StarRocks: authenticate both systems, choose the objects to sync (such as Materialize's Tables and Materialized Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). StarRocks: MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion. Authentication: Database credentials (MySQL-compatible username/password). Stacksync manages authentication, retries, and rate limits on both sides.
-
Materialize: SUBSCRIBE turns any view into a change stream, giving integrations a native CDC-style read path. StarRocks: The Primary Key table model supports real-time upserts and deletes, which suits applying change streams from operational systems. Stacksync's field mapping accounts for these differences between Materialize and StarRocks without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Materialize and StarRocks records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Materialize and StarRocks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Materialize–StarRocks integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Materialize and StarRocks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
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:
