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Data warehouse ⇄ Database

Starburst Enterprise to TimescaleDB integration — real-time, two-way sync

Keep Starburst Enterprise 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.

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Why teams connect Starburst Enterprise and TimescaleDB

Connect TimescaleDB and Starburst Enterprise 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 Starburst Enterprise, 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 Starburst Enterprise in real time, and result tables in Starburst Enterprise sync back into TimescaleDB, with schema and type mapping between the two systems handled for you.

Common use cases

  • 01 Write curated or reconciled results back to lakehouse tables through connectors that support inserts
  • 02 Read federated views that join warehouse, lake, and database tables, then sync the result into operational tools like a CRM
  • 03 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
  • 04 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.

Common sync patterns

Operational data in the warehouse, minus the pipeline

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

Serve warehouse results at database speed

Aggregates or model outputs computed in Starburst Enterprise sync into TimescaleDB, where whatever reads from that database gets them without querying the warehouse.

Fresh analytics without loading windows

Because changes stream continuously, analysts query current data instead of waiting for last night's load.

What you can sync between Starburst Enterprise 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.

Starburst Enterprise objects TimescaleDB objects How this pairing syncs
Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. Schemas Postgres namespaces used to separate synced datasets by team or environment. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Views Engine-level SQL views used to shape federated data before syncing it out. Views Standard SQL views used to shape or filter data for consumers. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Materialized views Precomputed results that make repeated sync reads cheaper. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. Materialized views is specific to Starburst Enterprise and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side.
Columns Typed per the Trino type system, mapped from each source's native types. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. Columns is specific to Starburst Enterprise and Hypertables to TimescaleDB — each maps to any object or custom field on the other side.
Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. Catalogs is specific to Starburst Enterprise and Chunks to TimescaleDB — each maps to any object or custom field on the other side.
Tables Queryable relations; writes pass through to sources whose connectors support them. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. Tables is specific to Starburst Enterprise and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side.

How changes propagate between Starburst Enterprise and TimescaleDB

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.

Starburst Enterprise TimescaleDB Interval-based propagation

DetectionStacksync polls Starburst Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling.

DeliveryEach detected change is applied to TimescaleDB as a row-level write, with types converted between the two schemas.

TimescaleDB Starburst Enterprise Sub-second propagation

DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.

DeliveryEach detected change is applied to Starburst Enterprise as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Starburst Enterprise: Throughput is governed by cluster sizing and resource groups rather than API quotas.
  • TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Starburst Enterprise ⇄ TimescaleDB

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Starburst Enterprise 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 Starburst Enterprise or TimescaleDB record.

Observability

Monitoring

Track your Starburst Enterprise ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Starburst Enterprise and TimescaleDB.

How the Starburst Enterprise and TimescaleDB connectors work

Starburst Enterprise

Integration surface
ANSI SQL over JDBC/ODBC drivers and the Trino client REST protocol
Authentication
Deployment-dependent: username/password, LDAP, OAuth 2.0, or Kerberos
Change detection
Query-based polling; Starburst is a query engine and exposes no change log of its own
Capabilities
read · write
Rate limits
Throughput is governed by cluster sizing and resource groups 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 Starburst Enterprise 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 Starburst Enterprise 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
    Starburst Enterprise connected
    TimescaleDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Starburst Enterprise 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 · Starburst Enterprise ⇄ 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
    Starburst Enterprise TimescaleDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Starburst Enterprise and TimescaleDB integration FAQ

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
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 361 integrations available for Starburst Enterprise and TimescaleDB.

Popular · 2 of 361
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