Real-time
Two-way sync
Changes in Citus or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Data warehouse
Citus to StarRocks integration — real-time, two-way sync
Keep Citus 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 Citus and StarRocks
Connect Citus 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 Citus'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 Citus where the services that read from it get them at normal query latency.
Stacksync covers both directions with one connection. Tables or collections in Citus sync into StarRocks in real time, and result tables in StarRocks sync back into Citus, with schema and type mapping between the two systems handled for you.
Common use cases
- Consolidate several sources into StarRocks as the query layer while Stacksync handles movement
- Land CRM and ERP records into StarRocks to serve low-latency operational dashboards
- Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.
- Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
Offload heavy reads
Point analytical queries at the synced copy in StarRocks and keep Citus focused on its operational workload.
Operational data in the warehouse, minus the pipeline
Rows from Citus 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 Citus, where whatever reads from that database gets them without querying the warehouse.
What you can sync between Citus 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.
| Citus objects | StarRocks objects | |
|---|---|---|
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Databases Top-level namespaces addressed exactly as in MySQL clients. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Views Logical views for shaping analytical reads. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Partitions Time or range partitions that scope loads and retention. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Columns Columnar storage with types mapped from source systems during sync. |
What ships with Citus ⇄ StarRocks
Connect Citus and StarRocks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–StarRocks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus 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 Citus or StarRocks record.
Observability
Monitoring
Track your Citus ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Citus and StarRocks.
How the Citus and StarRocks connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- 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 Citus 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 Citus 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.
Citus
connected
StarRocks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus 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 · Citus ⇄ 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.
Citus StarRocksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and StarRocks integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Citus and StarRocks: authenticate both systems, choose the objects to sync (such as Citus's Reference tables and Local tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). 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.
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StarRocks: It speaks the MySQL wire protocol, so standard MySQL clients, drivers, and BI tools connect without a special driver. Citus: Distributed tables are sharded by a declared distribution column, and reference tables are fully replicated to all nodes; the table type changes how writes and joins behave. Stacksync's field mapping accounts for these differences between Citus 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 Citus 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 Citus and StarRocks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–StarRocks integration in-house.
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Yes — Stacksync ships production-grade connectors for both Citus and StarRocks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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.
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 386 integrations available for Citus and StarRocks.
Popular · 8 of 386
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Citus ⇄ BigQuery -
Citus ⇄ MotherDuck -
Citus ⇄ Databricks -
Citus ⇄ AWS S3 -
StarRocks ⇄ Dynamo DB -
StarRocks ⇄ IBM Db2 -
StarRocks ⇄ Firebase -
StarRocks ⇄ SingleStore
No integrations match .
