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Data warehouse ⇄ Database

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

Keep StarRocks and TimescaleDB 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

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Why teams connect StarRocks and TimescaleDB

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

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

Common use cases

  • Continuously apply upserts from operational databases into Primary Key tables to keep analytics current
  • Serve customer-facing analytics from SaaS data synced into one analytical store
  • Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
  • Consolidate metrics from several services into one hypertable to serve a single reporting layer.

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 TimescaleDB focused on its operational workload.

Operational data in the warehouse, minus the pipeline

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

What you can sync between StarRocks and TimescaleDB

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 TimescaleDB objects
Views Logical views for shaping analytical reads. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly.
Partitions Time or range partitions that scope loads and retention. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems.
Columns Columnar storage with types mapped from source systems during sync. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data.
Databases Top-level namespaces addressed exactly as in MySQL clients. Views Standard SQL views used to shape or filter data for consumers.
Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. Schemas Postgres namespaces used to separate synced datasets by team or environment.
Materialized views Automatically maintained rollups used to accelerate queries on synced data. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs.
What ships with StarRocks ⇄ TimescaleDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever StarRocks or TimescaleDB 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 TimescaleDB record.

Observability

Monitoring

Track your StarRocks ⇄ TimescaleDB 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 TimescaleDB.

How the StarRocks and TimescaleDB 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

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

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

    Choose tables

    Pick the StarRocks and TimescaleDB 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 ⇄ TimescaleDB
    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 TimescaleDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

StarRocks and TimescaleDB integration FAQ

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.

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

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for StarRocks and TimescaleDB.

Popular · 8 of 386
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