Real-time
Two-way sync
Changes in Rockset or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Data warehouse
Rockset to StarRocks integration — real-time, two-way sync
Keep Rockset 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 Rockset and StarRocks
Keep tables consistent across Rockset 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 Rockset 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 Serve real-time dashboards over CRM and ERP records synced from operational databases.
- 02 Sync Postgres or DynamoDB tables into collections for low-latency aggregations without loading a batch warehouse.
- 03 Serve customer-facing analytics from SaaS data synced into one analytical store
- 04 Consolidate several sources into StarRocks as the query layer while Stacksync handles movement
Common sync patterns
Shared datasets across teams
Where different teams run different warehouses, sync the curated tables both rely on so their metrics agree by construction.
Consolidation after M&A
Bring the acquired company's warehouse data across continuously instead of through one-off dumps.
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.
What you can sync between Rockset 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.
| Rockset objects | StarRocks objects | How this pairing syncs | |
|---|---|---|---|
| Integrations Managed source connections (databases, streams, object storage) feeding collections. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | Integrations is specific to Rockset and Tables to StarRocks — each maps to any object or custom field on the other side. | |
| Virtual Instances Isolated compute units that separate ingest from query workloads. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Virtual Instances is specific to Rockset and Materialized views to StarRocks — each maps to any object or custom field on the other side. | |
| Collections Schemaless document containers that ingested and synced records land in. | Views Logical views for shaping analytical reads. | Collections is specific to Rockset and Views to StarRocks — each maps to any object or custom field on the other side. | |
| Documents JSON records addressable by _id, written via the Write API in sync pipelines. | Partitions Time or range partitions that scope loads and retention. | Documents is specific to Rockset and Partitions to StarRocks — each maps to any object or custom field on the other side. | |
| Workspaces Namespaces that group collections and query lambdas per team or environment. | Columns Columnar storage with types mapped from source systems during sync. | Workspaces is specific to Rockset and Columns to StarRocks — each maps to any object or custom field on the other side. | |
| Query Lambdas Named, parameterized SQL queries invoked over REST to read synced data. | Databases Top-level namespaces addressed exactly as in MySQL clients. | Query Lambdas is specific to Rockset and Databases to StarRocks — each maps to any object or custom field on the other side. |
How changes propagate between Rockset 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.
Rockset StarRocks Interval-based propagation
DetectionStacksync polls Rockset for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL queries on timestamp fields.
DeliveryEach detected change is applied to StarRocks as a row-level write, with types converted between the two schemas.
StarRocks Rockset 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 Rockset 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 Rockset ⇄ StarRocks
Connect Rockset and StarRocks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Rockset–StarRocks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Rockset 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 Rockset or StarRocks record.
Observability
Monitoring
Track your Rockset ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Rockset and StarRocks.
How the Rockset and StarRocks connectors work
Rockset
- Integration surface
- REST API (SQL over HTTP, plus a document Write API)
- Authentication
- API key
- Change detection
- Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors
- Capabilities
- read · write
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 Rockset 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 Rockset 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.
Rockset
connected
StarRocks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Rockset 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 · Rockset ⇄ 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.
Rockset StarRocksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Rockset and StarRocks integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Rockset and StarRocks: authenticate both systems, choose the objects to sync (such as Rockset's Integrations and Virtual Instances), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Rockset and StarRocks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Rockset–StarRocks integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Rockset and StarRocks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Rockset: Polling via SQL queries on timestamp fields; ingestion-side change capture is handled by Rockset's managed source connectors. On StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Rockset side: Documents, Workspaces, Query Lambdas, Aliases, plus custom fields where Rockset exposes them. On the StarRocks side: Tables, Materialized views, Views, Partitions. Stacksync auto-detects both schemas and converts types between the two systems.
-
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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:
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